Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T04:33:03.993670Z
Paper Citation Record · LEDGER
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys
As of 16 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2608.07445.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
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
64 of 64 outbound references displayed
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- verified fuzzy52
- unresolved12
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a8f0b05b-ef78-468c-a88e-803df84b530f · outbound
This paper cites Spectral quadrature for the first principles study of crystal defects: Application to magnesium.Journal of Computational Physics, 456:111035, 2022.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Spectral quadrature for the first principles study of crystal defects: Application to magnesium.Journal of Computational Physics, 456:111035, 2022
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:05.087875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8a1fb9f0-72d4-4cb3-92e9-94ac2549abb2 · outbound
This paper cites Hydrogen embrittlement of aluminum: the crucial role of vacancies.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Hydrogen embrittlement of aluminum: the crucial role of vacancies
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:05.072189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ddc55f53-862b-4e24-8098-fb9bd3fa27bb · outbound
This paper cites Can vacancies lubricate dislocation motion in aluminum?Physical review letters, 89(10):105501, 2002.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Can vacancies lubricate dislocation motion in aluminum?Physical review letters, 89(10):105501, 2002
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:05.056155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 06b2fa2c-2b7e-4acb-8688-90b91185d6f7 · outbound
This paper cites Vacancy clustering and prismatic dislocation loop formation in aluminum.Physical Review B—Condensed Matter and Materials Physics, 76(18):180101, 2007.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Vacancy clustering and prismatic dislocation loop formation in aluminum.Physical Review B—Condensed Matter and Materials Physics, 76(18):180101, 2007
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:05.040573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fdf034ed-e033-4ae8-8c07-7c97f0d614e0 · outbound
This paper cites an unresolved cited work.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T04:33:05.024978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 49399774-ebdf-43cd-b4d4-2d6824b7b27d · outbound
This paper cites Nanostructured high-entropy alloys with multiple principal elements: novel alloy design concepts and outcomes.Advanced engineering materials, 6(5):299–303, 2004.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Nanostructured high-entropy alloys with multiple principal elements: novel alloy design concepts and outcomes.Advanced engineering materials, 6(5):299–303, 2004
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:05.009725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7d63d596-2f4b-446b-a679-d7f2381051b0 · outbound
This paper cites Microstructural development in equiatomic multicomponent alloys.Materials Science and Engineering: A, 375:213–218, 2004.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Microstructural development in equiatomic multicomponent alloys.Materials Science and Engineering: A, 375:213–218, 2004
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.994064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8cd79d13-55ae-4437-a22e-704840b0a8f2 · outbound
This paper cites High-entropy alloys.Nature reviews materials, 4(8):515–534, 2019.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys High-entropy alloys.Nature reviews materials, 4(8):515–534, 2019
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.979087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c8d7e0a7-f12a-4983-91cc-5654aa2871cc · outbound
This paper cites High entropy alloys: A focused review of mechanical properties and deformation mechanisms.Acta Materialia, 188:435–474, 2020.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys High entropy alloys: A focused review of mechanical properties and deformation mechanisms.Acta Materialia, 188:435–474, 2020
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.964565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3a5d7689-7fa7-46d1-8b8b-e1941c481b51 · outbound
This paper cites Solute strengthening in random alloys.Acta Materialia, 124:660–683, 2017.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Solute strengthening in random alloys.Acta Materialia, 124:660–683, 2017
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.949482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 05f2935a-afc4-48a2-b9ff-a65cacf3ee4b · outbound
This paper cites Edge dislocation mediated anomalous charge transfer in face centered cubic high entropy alloys.Computational Materials Science, 273:114955, 2026.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Edge dislocation mediated anomalous charge transfer in face centered cubic high entropy alloys.Computational Materials Science, 273:114955, 2026
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.932330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cfaafca6-2a76-4c64-8a8a-7637bf1510cd · outbound
This paper cites A comprehensive review of the computational approaches for structure– property prediction of high entropy materials.High Entropy Alloys & Materials, pages 1–46, 2026.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys A comprehensive review of the computational approaches for structure– property prediction of high entropy materials.High Entropy Alloys & Materials, pages 1–46, 2026
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.914644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ad531fcc-0023-4290-9f1c-1d454183efdb · outbound
This paper cites Influence of chemical disorder on energy dissipation and defect evolution in concentrated solid solution alloys.Nature communications, 6(1):8736, 2015.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Influence of chemical disorder on energy dissipation and defect evolution in concentrated solid solution alloys.Nature communications, 6(1):8736, 2015
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.896362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1b714d4d-745d-4cfd-8da0-4fd6d666e539 · outbound
This paper cites Thermoelectric high-entropy alloys with low lattice thermal conductivity.Rsc Advances, 6(57):52164–52170, 2016.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Thermoelectric high-entropy alloys with low lattice thermal conductivity.Rsc Advances, 6(57):52164–52170, 2016
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.877710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a0d28fc9-20dc-439a-baf4-8e59eabe5374 · outbound
This paper cites High-entropy alloys with high saturation magnetization, electrical resistivity and malleability.Scientific reports, 3(1):1455, 2013.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys High-entropy alloys with high saturation magnetization, electrical resistivity and malleability.Scientific reports, 3(1):1455, 2013
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.852790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7024aa2f-1c1b-413e-afaf-116bf1140dc5 · outbound
This paper cites Influence of thermomechanical loads on the energetics of precipitation in magnesium aluminum alloys.Acta Materialia, 193:28–39, 2020.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Influence of thermomechanical loads on the energetics of precipitation in magnesium aluminum alloys.Acta Materialia, 193:28–39, 2020
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.823193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 611a4f4b-bf5c-4edb-94ff-4c0936360519 · outbound
This paper cites Precipitation during creep in magnesium–aluminum alloys.Continuum Mechanics and Thermodynamics, 33(6):2363–2374, 2021.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Precipitation during creep in magnesium–aluminum alloys.Continuum Mechanics and Thermodynamics, 33(6):2363–2374, 2021
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.804111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b300ee9f-b6fb-408c-83e3-ddc0b7979d90 · outbound
This paper cites Effects of the local chemical environment on vacancy diffusion in multi-principal element alloys.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Effects of the local chemical environment on vacancy diffusion in multi-principal element alloys
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:33:03.779722Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5483ecd8-4359-4144-830f-13b29545a6f8 · outbound
This paper cites an unresolved cited work.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T04:33:04.785318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c7667320-e258-4752-ac27-47986b8eb16b · outbound
This paper cites Thermodynamics of vacancies and clusters in high-entropy alloys.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Thermodynamics of vacancies and clusters in high-entropy alloys
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.767221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ca812579-bbf7-4caf-b2bc-96c1cb877b27 · outbound
This paper cites Rapid precipitation behavior of crmnfeconi high-entropy alloy under electropulsing.Journal of Alloys and Com- pounds, page 189131, 2026.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Rapid precipitation behavior of crmnfeconi high-entropy alloy under electropulsing.Journal of Alloys and Com- pounds, page 189131, 2026
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.747964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1a7ea84a-11e7-408a-98d3-1e24303e164d · outbound
This paper cites Vacancy formation enthalpy in cocrfemnni high-entropy alloy.Scripta Materialia, 176:32–35, 2020.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Vacancy formation enthalpy in cocrfemnni high-entropy alloy.Scripta Materialia, 176:32–35, 2020
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.729535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 45557d24-0f98-49ae-bb6a-2e4ac59689f5 · outbound
This paper cites Defect energetics for diffusion in crmnfeconi high- entropy alloy from first-principles calculations.Computational Materials Science, 170:109163, 2019.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Defect energetics for diffusion in crmnfeconi high- entropy alloy from first-principles calculations.Computational Materials Science, 170:109163, 2019
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.712917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 568940f5-2e27-4176-8794-9d7d4aec7af9 · outbound
This paper cites Nasrabadi.
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.696228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fc4f5e11-4cd4-4401-842e-500a28c5064d · outbound
This paper cites Disentangling diffusion heterogeneity in high-entropy alloys.Acta Materialia, 224:117527, 2022.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Disentangling diffusion heterogeneity in high-entropy alloys.Acta Materialia, 224:117527, 2022
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.679654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 836544d0-a0cb-450f-864a-788f19b9495a · outbound
This paper cites Defect energetics in an high-entropy alloy fcc cocrfemnni.Materials Advances, 5(10):4231–4241, 2024.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Defect energetics in an high-entropy alloy fcc cocrfemnni.Materials Advances, 5(10):4231–4241, 2024
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.665258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8717d475-0d10-463c-88cd-6a1276881da2 · outbound
This paper cites Irradiation resistance mechanism of the cocrfemnni equiatomic high-entropy alloy.Scientific reports, 11(1):608, 2021.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Irradiation resistance mechanism of the cocrfemnni equiatomic high-entropy alloy.Scientific reports, 11(1):608, 2021
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.650798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3c0e98ab-903a-4708-96ef-163e5337f280 · outbound
This paper cites Ab initio investigation of energetics and stability of vacancy clusters in the fcc high-entropy alloy fecrconi.Journal of Nuclear Materials, 609:155744, 2025.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Ab initio investigation of energetics and stability of vacancy clusters in the fcc high-entropy alloy fecrconi.Journal of Nuclear Materials, 609:155744, 2025
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.634836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d2e779c7-ced5-41f9-8286-9daeffb62be8 · outbound
This paper cites Machine learning assisted design of feconicrmn high-entropy alloys with ultra-low hydrogen diffusion coefficients.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Machine learning assisted design of feconicrmn high-entropy alloys with ultra-low hydrogen diffusion coefficients
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.616686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b8ac626a-a633-49fa-baa9-44a3eac99d25 · outbound
This paper cites Revealing the crucial role of rough energy landscape on self-diffusion in high-entropy alloys based on machine learning and kinetic monte carlo.Acta Materialia, 234:118051, 2022.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Revealing the crucial role of rough energy landscape on self-diffusion in high-entropy alloys based on machine learning and kinetic monte carlo.Acta Materialia, 234:118051, 2022
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.600381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 739b6dd4-8261-4518-baa9-2b5a591c1f2d · outbound
This paper cites Framework to completely bypass expensive dft calculations via graph neural networks for vacancy formation energy predictions in fcc high entropy alloys.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Framework to completely bypass expensive dft calculations via graph neural networks for vacancy formation energy predictions in fcc high entropy alloys
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.585692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cd5c48f3-1dd6-45f8-a48e-0d53d4a633a3 · outbound
This paper cites an unresolved cited work.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T04:33:04.570177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation edef843b-a66c-4c11-9f1b-a7a869ff7564 · outbound
This paper cites Electronic structure study regarding the influence of macro- scopic deformations on the vacancy formation energy in aluminum.Mechanics Research Communications, 99:58–63, 2019.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Electronic structure study regarding the influence of macro- scopic deformations on the vacancy formation energy in aluminum.Mechanics Research Communications, 99:58–63, 2019
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.554642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 50d1203e-4f3d-4653-a221-c9678d61f45e · outbound
This paper cites John wiley & sons, 1994.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys John wiley & sons, 1994
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.539248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 016040b9-4a57-4dbc-923d-9ebf7c3d46a7 · outbound
This paper cites Deformation and failure of the crconi medium-entropy alloy subjected to extreme shock loading.Science advances, 9(18):eadf8602, 2023.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Deformation and failure of the crconi medium-entropy alloy subjected to extreme shock loading.Science advances, 9(18):eadf8602, 2023
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.524080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 26d67cd4-f2a4-426c-9f3e-9e0cfb23ee03 · outbound
This paper cites Vacancy dependent shock response of high-entropy alloy fenicrcocu.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Vacancy dependent shock response of high-entropy alloy fenicrcocu
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.508653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 32ab8427-89a5-4e74-891d-9168fa2b78d9 · outbound
This paper cites Role of lattice resistance in the shock dynamics of fcc-structured high entropy alloy.Materials Today Communications, 33:104884, 2022.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Role of lattice resistance in the shock dynamics of fcc-structured high entropy alloy.Materials Today Communications, 33:104884, 2022
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.492817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5f91a4f7-0c8c-4570-83b9-3f0897b81e8d · outbound
This paper cites Dynamic shock response of high-entropy alloy with elemental anomaly distribution.International Journal of Mechanical Sciences, 253:108408, 2023.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Dynamic shock response of high-entropy alloy with elemental anomaly distribution.International Journal of Mechanical Sciences, 253:108408, 2023
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.477918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d1d8463c-1450-4d28-96eb-163621490344 · outbound
This paper cites Shock compression response of high entropy alloys.Materials Research Letters, 4(4):226–232, 2016.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Shock compression response of high entropy alloys.Materials Research Letters, 4(4):226–232, 2016
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.462296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation aaacc40b-441f-4f2e-b32f-083ab3615a71 · outbound
This paper cites Estreicher.
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.445331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 44f90de9-d821-441a-a6c9-be2d8e550de0 · outbound
This paper cites an unresolved cited work.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T04:33:04.429377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 19da8217-c113-4deb-ad90-e1ae8e6b6e78 · outbound
This paper cites an unresolved cited work.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T04:33:04.413486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bdd7a806-bfe3-4b4a-abfc-d832aa8df356 · outbound
This paper cites Defect properties in a vtacrw equiatomic high entropy alloy (hea) with the body centered cubic (bcc) structure.Journal of Materials Science & Technology, 44:133–139, 2020.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Defect properties in a vtacrw equiatomic high entropy alloy (hea) with the body centered cubic (bcc) structure.Journal of Materials Science & Technology, 44:133–139, 2020
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.397266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2507f21c-cbe7-4ec1-87bc-50740d76a3d1 · outbound
This paper cites Vacancy energetics and diffusivities in the equiatomic multiele- ment nb-mo-ta-w alloy.Materials, 15(15):5468, 2022.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Vacancy energetics and diffusivities in the equiatomic multiele- ment nb-mo-ta-w alloy.Materials, 15(15):5468, 2022
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.380401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 81feb061-7631-420a-b00b-de125a570e2b · outbound
This paper cites Deep sets.Advances in neural information processing systems, 30, 2017.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Deep sets.Advances in neural information processing systems, 30, 2017
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:33:03.905272Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f7baad7-0236-4279-ae62-a51335c50786 · outbound
This paper cites Sch¨ utt, Pieter-Jan Kindermans, Huziel E.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Sch¨ utt, Pieter-Jan Kindermans, Huziel E
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.352953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4524d39a-b93f-4623-8d64-fe4f409fa802 · outbound
This paper cites Courier Corporation, 1997.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Courier Corporation, 1997
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:33:03.914207Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 584ecbe0-dd7b-4c4b-901e-cb01d983b12a · outbound
This paper cites an unresolved cited work.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T04:33:04.325209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 344b4769-6ec3-424d-a428-f3a31c87da28 · outbound
This paper cites Manzoor, G.
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.308128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 96a603ad-dfed-43fb-a5de-5b7e9f3f0cee · outbound
This paper cites an unresolved cited work.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T04:33:04.292260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5e6a1be2-e6d4-40f9-a5b7-50c3dff26756 · outbound
This paper cites Data-inspired atomic environment-dependence of vacancy formation energy in high-entropy alloys.International Journal of Plasticity, 175:104545, 2025.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Data-inspired atomic environment-dependence of vacancy formation energy in high-entropy alloys.International Journal of Plasticity, 175:104545, 2025
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.275961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4900b446-d01a-463f-9b45-8a07f015a076 · outbound
This paper cites Oxford University Press, 2020.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Oxford University Press, 2020
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.260207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 49b16591-4518-4dd2-b67b-1f3272577784 · outbound
This paper cites Order parameter engineering for random sys- tems.High Entropy Alloys & Materials, pages 1–14, 2023.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Order parameter engineering for random sys- tems.High Entropy Alloys & Materials, pages 1–14, 2023
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.243544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 013d28f8-b2db-4185-a4a0-e2ffa9b5d142 · outbound
This paper cites Lammps-a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales.Computer physics communications, 271:108171, 2022.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Lammps-a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales.Computer physics communications, 271:108171, 2022
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:33:03.947611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9b7ea71-62f8-46d0-a1ba-9022ea8421be · outbound
This paper cites Model interatomic potentials and lattice strain in a high-entropy alloy.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Model interatomic potentials and lattice strain in a high-entropy alloy
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.213381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 14c91334-986f-4744-ba0f-b830b8eb965b · outbound
This paper cites Violation of the cauchy–born rule in multi-principal element alloys.Applied Physics Letters, 124(17), 2024.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Violation of the cauchy–born rule in multi-principal element alloys.Applied Physics Letters, 124(17), 2024
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.197757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fb749ce1-9306-4fbf-b1ef-6ce118c9fc8d · outbound
This paper cites Element effects on high-entropy alloy vacancy and heterogeneous lattice distortion subjected to quasi-equilibrium heating.Scientific reports, 9(1):14788, 2019.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Element effects on high-entropy alloy vacancy and heterogeneous lattice distortion subjected to quasi-equilibrium heating.Scientific reports, 9(1):14788, 2019
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.182459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 484d1104-9996-497c-b7c1-713fab07bf0d · outbound
This paper cites Nitol, Artur Tamm, Subah Mubassira, Shuozhi Xu, and Saryu J.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Nitol, Artur Tamm, Subah Mubassira, Shuozhi Xu, and Saryu J
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.165642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 712bd10b-6f7d-4675-a728-e041358d068b · outbound
This paper cites Understanding the phys- ical metallurgy of the cocrfemnni high-entropy alloy: an atomistic simulation study.npj Computational Materials, 4(1):1, 2018.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Understanding the phys- ical metallurgy of the cocrfemnni high-entropy alloy: an atomistic simulation study.npj Computational Materials, 4(1):1, 2018
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.144510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 247ef590-371e-4ca8-8d1c-1194aedad1f9 · outbound
This paper cites Effect of alloying on the thermal-elastic properties of 3d high-entropy alloys.Materials Chemistry and Physics, 210:320–326, 2018.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Effect of alloying on the thermal-elastic properties of 3d high-entropy alloys.Materials Chemistry and Physics, 210:320–326, 2018
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.124443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6298754f-2381-4f84-bd10-ded6650e6aea · outbound
This paper cites Lu, Dianzhong Li, Yiyi Li, C.T.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Lu, Dianzhong Li, Yiyi Li, C.T
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.107671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 28ecc759-001e-4357-80c4-95c6adf62318 · outbound
This paper cites Frontier: The first exascale supercomputer, 2022.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Frontier: The first exascale supercomputer, 2022
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.092022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 90b345e9-2e0b-481f-8b78-b3447e1f7794 · outbound
This paper cites Decoupled Weight Decay Regularization.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Decoupled Weight Decay Regularization
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:33:03.988826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84ab5ad5-03ac-49cf-b4cb-66f8c47cc252 · outbound
This paper cites Rectified linear units improve restricted boltzmann machines.
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys Rectified linear units improve restricted boltzmann machines
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T04:33:04.075343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.