Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:52:46.910853Z
Paper Citation Record · LEDGER
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials
As of 20 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2505.08732.
A citation records a reference. It does not transfer a finding from one paper to another.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
71 of 71 outbound references displayed
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- verified fuzzy68
- unresolved2
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b58857ff-6575-4144-b328-17aeaf01dcae · outbound
This paper cites The cry of tin.
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.859999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c399eb6a-33a2-4a74-8c1d-ecf49b28d7db · outbound
This paper cites Direct observation of twinning in tin lamellae.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Direct observation of twinning in tin lamellae
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.849162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 009817c3-4773-42b0-9b94-1c909cbe07f6 · outbound
This paper cites Christian, The Theory of Transformations in Metals and Alloys , (Newnes, 2002).
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Christian, The Theory of Transformations in Metals and Alloys , (Newnes, 2002)
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.838286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 273a38c9-1ea3-4736-92a2-972ae3c2da07 · outbound
This paper cites Deformation behavior of tin and some tin alloys.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Deformation behavior of tin and some tin alloys
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.826947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0307b606-8986-4ca3-a1ac-aa9467d6ba99 · outbound
This paper cites Cryogenic in situ microcompression testing of Sn.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Cryogenic in situ microcompression testing of Sn
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.814976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5ff2176f-1656-4674-b518-57d680af6a49 · outbound
This paper cites Microstructure characterization and elastic-plastic self- consistent simulation studies of anisotropic deformation of β-tin.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Microstructure characterization and elastic-plastic self- consistent simulation studies of anisotropic deformation of β-tin
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.802741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7268a35b-2a25-4ae5-b567-f960cc73fc3f · outbound
This paper cites Calibration and validation of the foundation for a multiphase strength model for tin.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Calibration and validation of the foundation for a multiphase strength model for tin
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.790610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c278f3ba-a9a6-460a-b4a5-a5872da36aa3 · outbound
This paper cites A surprising proliferation of detwinning inβ-tin at extreme loading rates.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials A surprising proliferation of detwinning inβ-tin at extreme loading rates
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.776010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 86fd41ea-7097-4bad-a6dc-469e27a06dc2 · outbound
This paper cites Microscale deformation behavior of bicrystal boundaries in pure tin (Sn) using micropillar compression.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Microscale deformation behavior of bicrystal boundaries in pure tin (Sn) using micropillar compression
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.764747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 326ce497-b22f-4eb6-b179-be52e565b317 · outbound
This paper cites Characterization of tri-lab β-tin (Sn).
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Characterization of tri-lab β-tin (Sn)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.753038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b0964b58-5cf3-41b6-8c9a-d3a05d9f89a0 · outbound
This paper cites Measurements of the grain boundary energy and anisotropy in tin.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Measurements of the grain boundary energy and anisotropy in tin
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.740909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d78b1ab2-f2a5-4d51-8403-556114d1cfe3 · outbound
This paper cites The orientation imaging microscopy of lead-free Sn-Ag solder joints.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials The orientation imaging microscopy of lead-free Sn-Ag solder joints
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.728715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c58a3492-fae4-43f4-8312-6c8fc4aa4c12 · outbound
This paper cites Beta-tin grain formation in aluminum-modified lead-free solder alloys.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Beta-tin grain formation in aluminum-modified lead-free solder alloys
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.715874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 521322c1-3c3b-4f96-8c80-afa1664e2830 · outbound
This paper cites Electrodeposition current density induced texture and grain boundary engineering in Sn coatings for enhanced corrosion resistance.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Electrodeposition current density induced texture and grain boundary engineering in Sn coatings for enhanced corrosion resistance
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.701479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3ad17098-13db-4b9c-bc67-627f95d5e1ca · outbound
This paper cites Hybrid additive manufacturing of island grain bicrystals.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Hybrid additive manufacturing of island grain bicrystals
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.688995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 56beb255-4d0b-4725-ac7b-f3f48a21f4e4 · outbound
This paper cites Spontaneous whisker growth on lead-free solder finishes.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Spontaneous whisker growth on lead-free solder finishes
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.677297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5022e114-bfe7-4930-ae22-ea821ce403b6 · outbound
This paper cites A model of Sn whisker growth by coupled plastic flow and grain boundary diffusion.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials A model of Sn whisker growth by coupled plastic flow and grain boundary diffusion
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.664731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 43533731-4d2d-4f22-808d-c4042ba4386a · outbound
This paper cites Whisker growth in Sn coatings: A review of current status and future prospects.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Whisker growth in Sn coatings: A review of current status and future prospects
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.653306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b10f5cc5-956b-4d70-abe3-05304dbd7f3a · outbound
This paper cites Growth twins and deformation twins in metals.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Growth twins and deformation twins in metals
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.640857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bc838157-1902-448f-801d-d754e5e9ec10 · outbound
This paper cites Disconnections and other defects associated with twin interfaces.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Disconnections and other defects associated with twin interfaces
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.627697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d9e11b95-89f8-44b0-aaff-a50bf8882f14 · outbound
This paper cites Twin-solute, twin-dislocation and twin-twin interactions in magne- sium.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Twin-solute, twin-dislocation and twin-twin interactions in magne- sium
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.614984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation df9d0106-b5b8-4dec-a749-caf7bc4448a1 · outbound
This paper cites Three-dimensional character of the deformation twin in magnesium.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Three-dimensional character of the deformation twin in magnesium
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.602717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1917ba58-c142-4d97-ae12-2e9f6eadd6cc · outbound
This paper cites The effects of stress, temperature and facet struc- ture on growth of{10¯12} twins in Mg: A molecular dynamics and phase field study.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials The effects of stress, temperature and facet struc- ture on growth of{10¯12} twins in Mg: A molecular dynamics and phase field study
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.590748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bb0478f7-5b7a-4562-9678-924b6c9e8263 · outbound
This paper cites Atomistic-informed phase field modeling of magnesium twin growth by disconnections.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Atomistic-informed phase field modeling of magnesium twin growth by disconnections
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.578860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4a82e068-9ca3-4a61-93f1-7086b9187207 · outbound
This paper cites Formation and stability of long basal-prismatic facets in Mg.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Formation and stability of long basal-prismatic facets in Mg
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.564951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 136b3485-650a-4dfd-a774-8a51c1509ea1 · outbound
This paper cites Semiempirical, quantum mechanical calculation of hydrogen embrittle- ment in metals.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Semiempirical, quantum mechanical calculation of hydrogen embrittle- ment in metals
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.553084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8ab8d2dd-ee2b-4ce4-b0e9-ae1454371985 · outbound
This paper cites Embedded-atom method: Derivation and application to impurities, surfaces, and other defects in metals.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Embedded-atom method: Derivation and application to impurities, surfaces, and other defects in metals
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.541699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8a3b5782-044c-41cb-9505-30701d7a6cf1 · outbound
This paper cites Modified embedded-atom potentials for cubic materials and impurities.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Modified embedded-atom potentials for cubic materials and impurities
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.528772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8436daf2-f329-4cb0-8171-1b32ba562925 · outbound
This paper cites Structural stability and lattice defects in copper: Ab initio, tight-binding, and embedded-atom calculations.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Structural stability and lattice defects in copper: Ab initio, tight-binding, and embedded-atom calculations
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.517166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 74e66ff5-a253-4c65-9ded-107c2d172a03 · outbound
This paper cites EAM potential for magnesium from quantum mechanical forces.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials EAM potential for magnesium from quantum mechanical forces
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.504634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f5a72338-015f-4258-9836-ed42437716e6 · outbound
This paper cites Detwinning mechanisms for growth twins in face-centered cubic metals.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Detwinning mechanisms for growth twins in face-centered cubic metals
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.492650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2e1caa39-7769-45b1-950e-771b6a59cc0e · outbound
This paper cites Atomic structures of symmetric tilt grain boundaries in hexagonal close packed (hcp) crystals.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Atomic structures of symmetric tilt grain boundaries in hexagonal close packed (hcp) crystals
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.479407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 796a7303-e70c-452d-bac0-90aaae4815e9 · outbound
This paper cites Atomistic simulations of pure tin based on a new modified embedded-atom method interatomic potential.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Atomistic simulations of pure tin based on a new modified embedded-atom method interatomic potential
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.466670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 43166e00-2e57-49b1-b4d3-ff8fe066f826 · outbound
This paper cites Performance and cost assessment of machine learning interatomic potentials.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Performance and cost assessment of machine learning interatomic potentials
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.453693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 77154446-d558-4695-be42-f1a7f2951d90 · outbound
This paper cites Machine-learning interatomic potentials for materials science.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Machine-learning interatomic potentials for materials science
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.441605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 443660d1-3c7f-401d-a8be-63ce41ea8336 · outbound
This paper cites Hybrid interatomic potential for Sn.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Hybrid interatomic potential for Sn
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.428368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 92ae2c26-9505-4bce-8f35-a4bad57fe7b1 · outbound
This paper cites LAMMPS — a flexible simulation tool for particle- based materials modeling at the atomic, meso, and continuum scales.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials LAMMPS — a flexible simulation tool for particle- based materials modeling at the atomic, meso, and continuum scales
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.416273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7e6403a4-0f3c-4b77-8545-7f7776970f2f · outbound
This paper cites Ab-initio simulations of materials using VASP: Density-functional theory and beyond.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Ab-initio simulations of materials using VASP: Density-functional theory and beyond
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.403673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 16510a30-4b5b-4544-815b-fd74ba77cdaf · outbound
This paper cites Generalized gradient approximation made simple.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Generalized gradient approximation made simple
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.391556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 69b78c0d-355b-4440-ac14-8197625e5520 · outbound
This paper cites Visualization and analysis of atomistic simulation data with OVITO – the open visual- ization tool.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Visualization and analysis of atomistic simulation data with OVITO – the open visual- ization tool
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.379203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 677bffe8-7a6f-46c8-8bf5-0f8b4958ef59 · outbound
This paper cites Robust structural identification via polyhedral template matching.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Robust structural identification via polyhedral template matching
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.366406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5ce38166-0416-4e06-a647-2730f71e7b16 · outbound
This paper cites Moment Tensor Potentials: a class of systematically improvable interatomic potentials.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Moment Tensor Potentials: a class of systematically improvable interatomic potentials
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:52:46.801290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6f958ff-bbde-4c9b-aba6-13bd6bd7e42c · outbound
This paper cites The MLIP package: moment tensor potentials with MPI and active learning.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials The MLIP package: moment tensor potentials with MPI and active learning
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.355001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 31633ab7-2b9b-43ee-9ee9-6c13e4a4ef2e · outbound
This paper cites LAMMPS implementation of rapid artificial neural network derived interatomic potentials.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials LAMMPS implementation of rapid artificial neural network derived interatomic potentials
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.343598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 67543f69-eb77-4878-807e-2dc5377ca54b · outbound
This paper cites Grand canonically optimized grain boundary phases in hexagonal close-packed titanium.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Grand canonically optimized grain boundary phases in hexagonal close-packed titanium
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.332009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0d93c5f5-c15a-44ed-b924-c6b1e040f35d · outbound
This paper cites Survey of computed grain boundary properties in face-centered cubic metals: I. Grain boundary energy.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Survey of computed grain boundary properties in face-centered cubic metals: I. Grain boundary energy
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.319662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 18b677f1-f503-4fd5-99bd-3f0a52fd1594 · outbound
This paper cites Extra variable in grain boundary description.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Extra variable in grain boundary description
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.307436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5febd32f-70b2-4e60-b85d-af21cd055ac9 · outbound
This paper cites Predicting phase behavior of grain boundaries with evolutionary search and machine learning.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Predicting phase behavior of grain boundaries with evolutionary search and machine learning
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.295597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2ee8d380-9e56-4fba-83ad-cf4577370df1 · outbound
This paper cites The atomic simulation environment—a Python library for working with atoms.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials The atomic simulation environment—a Python library for working with atoms
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.284891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9009197c-669a-4cbb-a36f-3b0776daf93e · outbound
This paper cites Role of the mesoscale in migration kinetics of flat grain boundaries.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Role of the mesoscale in migration kinetics of flat grain boundaries
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.273446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ce8bcbbc-9ebb-4c80-babc-53a066b41a9c · outbound
This paper cites An interferometric study of grain boundary grooves in tin.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials An interferometric study of grain boundary grooves in tin
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.262036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2d920fca-1553-4fdf-811e-10804356e31b · outbound
This paper cites Effect of twin grain boundary on the diffusion of Cu in bulk β-Sn.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Effect of twin grain boundary on the diffusion of Cu in bulk β-Sn
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.243550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5aa6002a-3ac1-411c-b3d7-6249ee5f40dc · outbound
This paper cites Free energy of grain boundary phases: Atomistic calculations for Σ5 (310) [001] grain boundary in Cu.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Free energy of grain boundary phases: Atomistic calculations for Σ5 (310) [001] grain boundary in Cu
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.225076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 63f0c4a4-5063-4925-bb62-e78707d3490f · outbound
This paper cites Grain boundary mediated plasticity: On the evaluation of grain boundary migration-shear coupling.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Grain boundary mediated plasticity: On the evaluation of grain boundary migration-shear coupling
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.189846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1143ebd2-038f-4caa-8876-8484413e14d4 · outbound
This paper cites Grain-boundary kinetics: A unified approach.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Grain-boundary kinetics: A unified approach
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.162556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cf355d7a-e6f2-4366-b4ac-8c187bb8404e · outbound
This paper cites Optimal transportation of grain boundaries: A forward model for predicting migration mechanisms.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Optimal transportation of grain boundaries: A forward model for predicting migration mechanisms
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.150861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 151736e3-f2de-400d-a57f-64ab31aa85a6 · outbound
This paper cites Grain boundary migration in polycrystals.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Grain boundary migration in polycrystals
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.140184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 42b2d49c-1522-401d-b74e-7010a4af8c64 · outbound
This paper cites An atomistic survey of shear coupling in asymmetric 32 tilt grain boundaries and interpretation using the disconnections framework.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials An atomistic survey of shear coupling in asymmetric 32 tilt grain boundaries and interpretation using the disconnections framework
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.127643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6217603e-c837-409b-a012-069c367955de · outbound
This paper cites Coupling grain boundary motion to shear deformation.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Coupling grain boundary motion to shear deformation
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.116123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 31710af2-d0af-42f7-86b6-c94989655363 · outbound
This paper cites Shear-driven motion of Mg{10¯12} twin boundaries via disconnection terrace nucleation, growth, and coalescence.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Shear-driven motion of Mg{10¯12} twin boundaries via disconnection terrace nucleation, growth, and coalescence
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.104776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6f415cfc-5796-48d5-9c36-5058d8384383 · outbound
This paper cites Determination of all misorientations of tetragonal lattices with low multiplicity; connec- tion with Mallard’s rule of twinning.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Determination of all misorientations of tetragonal lattices with low multiplicity; connec- tion with Mallard’s rule of twinning
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.091111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 96bef9bf-39d9-4525-8f33-3a47dc51c84e · outbound
This paper cites Twinning by reticular pseudo-merohedry in trigonal, tetragonal and hexagonal crystals.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Twinning by reticular pseudo-merohedry in trigonal, tetragonal and hexagonal crystals
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.077815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d9baf8be-a090-4562-a8de-f134f00742ed · outbound
This paper cites Interface dislocations and grain boundary discon- nections using smith normal bicrystallography.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Interface dislocations and grain boundary discon- nections using smith normal bicrystallography
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.063735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fa663d2d-05f7-488a-88eb-f9de29fff6a9 · outbound
This paper cites On the importance of prismatic/basal interfaces in the growth of (-1012) twins in hexagonal close-packed crystals.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials On the importance of prismatic/basal interfaces in the growth of (-1012) twins in hexagonal close-packed crystals
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T21:52:46.951797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8fee9f02-f525-4e93-9419-b677ffa1dbbf · outbound
This paper cites Interface structures and twinning mechanisms of twins in hexagonal metals.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Interface structures and twinning mechanisms of twins in hexagonal metals
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.050065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5cfd1800-a679-4cdc-b2b2-3cbd4dcb26fe · outbound
This paper cites An analytical model of interfacial energy based on a lattice-matching interatomic energy.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials An analytical model of interfacial energy based on a lattice-matching interatomic energy
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.038064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4f32df52-2b3e-435c-ab3f-ad294dea265e · outbound
This paper cites A relaxation method for the energy and morphology of grain boundaries and interfaces.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials A relaxation method for the energy and morphology of grain boundaries and interfaces
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.023201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d320ed03-b63d-497d-8ef5-f79c7f282818 · outbound
This paper cites The growth of twins in tin single crystals as observed by transmission electron microscopy.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials The growth of twins in tin single crystals as observed by transmission electron microscopy
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:47.010676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5085a320-a98c-4578-89a6-df40d419c8f5 · outbound
This paper cites Why are{10¯12} twins profuse in magnesium?.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Why are{10¯12} twins profuse in magnesium?
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:46.998393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 507ea197-cdff-416c-9d25-88b0e5fc679b · outbound
This paper cites Machine learning models for predictive materials science from fundamental physics: An application to titanium and zirconium.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Machine learning models for predictive materials science from fundamental physics: An application to titanium and zirconium
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:52:46.986612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5bd38c65-8433-40ee-8bd8-cd45993eb2c7 · outbound
This paper cites an unresolved cited work.
The structure and migration of twin boundaries in tetragonal $\beta$-Sn: an application of machine learning based interatomic potentials Unresolved cited work
Reference 71
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:52:46.975874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.