Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T06:01:04.750870Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 100 of 117 outbound references and 0 inbound Pith citation observations for arXiv:2411.19629.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T06:01:04.750870Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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
100 of 117 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5648ffcf-8119-4409-8ddc-fcb1a6eb827b · outbound
OpenQDC: Open Quantum Data Commons Computational approaches for studying drug binding kinetics
Reference 1
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Observation 4ca59b64-f4bf-43ad-8757-62ee3032496d · outbound
OpenQDC: Open Quantum Data Commons Protein–ligand (un) binding kinetics as a new paradigm for drug discovery at the crossroad between experiments and modelling
Reference 2
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Observation 7d4fe19f-c70f-46a2-8e18-7f669fb2c211 · outbound
OpenQDC: Open Quantum Data Commons New approaches for computing ligand–receptor binding kinetics
Reference 3
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Observation b121ac96-d0d6-4797-ad59-754f91a1b0b5 · outbound
OpenQDC: Open Quantum Data Commons Kinetics of ligand–protein dissociation from all-atom simulations: Are we there yet? Biochemistry, 58(3):156–165, 2018
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec04c268-4add-4335-a483-6bd51c4f4466 · outbound
OpenQDC: Open Quantum Data Commons Molecular dynamics simulations in drug design
Reference 5
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Unavailable: canonical work link unavailable.
Observation 234024a2-a498-44e7-9679-4af8cd38725d · outbound
OpenQDC: Open Quantum Data Commons Molecular dynamics and protein function
Reference 6
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Unavailable: canonical work link unavailable.
Observation 8239e88e-ddb1-4f06-8cf8-733b655ce0cd · outbound
OpenQDC: Open Quantum Data Commons Applications of molecular dynamics simulation in protein study
Reference 7
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Observation ea02842e-d4af-48c7-acf3-70c1f3073647 · outbound
OpenQDC: Open Quantum Data Commons Gfn2-xtb—an accurate and broadly parametrized self-consistent tight-binding quantum chemical method with multipole electrostatics and density-dependent dispersion contributions
Reference 8
Source-reported events for the cited work
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Observation 7d14d0ad-80c9-4f3b-837a-c1138325b1cd · outbound
OpenQDC: Open Quantum Data Commons Dftb3: Extension of the self-consistent- charge density-functional tight-binding method (scc-dftb)
Reference 9
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Observation 1c853003-5fdb-4767-866b-51a2de150405 · outbound
OpenQDC: Open Quantum Data Commons Optimization of parameters for semiempirical methods v: Modification of nddo approximations and application to 70 elements
Reference 10
Source-reported events for the cited work
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Observation 968eeab6-4e53-47d7-9a4f-4dfa405bc321 · outbound
OpenQDC: Open Quantum Data Commons Generalized neural-network representation of high- dimensional potential-energy surfaces
Reference 11
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Observation beea93f7-2540-406f-a11a-38911fe6d189 · outbound
OpenQDC: Open Quantum Data Commons Ani-1, a data set of 20 million calculated off-equilibrium conformations for organic molecules
Reference 12
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Unavailable: canonical work link unavailable.
Observation f79e9934-f8b4-4857-a60e-c71575f7389f · outbound
OpenQDC: Open Quantum Data Commons Amp: A modular approach to machine learning in atomistic simulations
Reference 13
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Observation f5d5e281-7d76-4855-a4d3-45bfc2344e7f · outbound
OpenQDC: Open Quantum Data Commons A reactive, scalable, and transferable model for molecular energies from a neural network approach based on local information
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0b92d3d-b507-495a-a593-55e89fe6a8eb · outbound
OpenQDC: Open Quantum Data Commons Equivariant transformers for neural network based molecular potentials
Reference 15
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Observation 77729bcb-495d-4083-920d-ec81eb5e72e2 · outbound
OpenQDC: Open Quantum Data Commons Linear atomic cluster expansion force fields for organic molecules: beyond rmse
Reference 16
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Observation e4c61e39-1cdd-485a-9d5b-57d7911ffb20 · outbound
OpenQDC: Open Quantum Data Commons Efficient and accurate machine- learning interpolation of atomic energies in compositions with many species
Reference 17
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Unavailable: canonical work link unavailable.
Observation f48b7d9e-b363-45c4-96ca-a56e6b1b7c7c · outbound
OpenQDC: Open Quantum Data Commons Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements
Reference 18
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Observation 8cf8008c-de4a-47d4-b056-09c5b57c792a · outbound
OpenQDC: Open Quantum Data Commons Directional Message Passing for Molecular Graphs
Reference 19
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Observation 1063556b-32c1-47a4-912a-51b9fe834649 · outbound
OpenQDC: Open Quantum Data Commons Gemnet: Universal directional graph neural networks for molecules
Reference 20
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Observation d6fcaa2b-c1cd-4805-bb13-dab383f96def · outbound
OpenQDC: Open Quantum Data Commons Spherical message passing for 3d molecular graphs
Reference 21
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Unavailable: canonical work link unavailable.
Observation 09aa2b09-f45e-4313-9867-9adbfc0b2cef · outbound
OpenQDC: Open Quantum Data Commons E (n) equivariant graph neural networks
Reference 22
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Unavailable: canonical work link unavailable.
Observation 64d5d06e-7654-40bb-a20f-d1014320baea · outbound
OpenQDC: Open Quantum Data Commons A universal graph deep learning interatomic potential for the periodic table
Reference 23
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Unavailable: canonical work link unavailable.
Observation 0a630d37-f488-4f51-81ab-6b4111d41e89 · outbound
OpenQDC: Open Quantum Data Commons Equivariant message passing for the prediction of tensorial properties and molecular spectra
Reference 24
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Unavailable: canonical work link unavailable.
Observation 2f40e311-05a2-4e68-81f9-058a7b41776d · outbound
OpenQDC: Open Quantum Data Commons Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Reference 25
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Observation 63bae921-648a-44c3-95cc-0be3247909f8 · outbound
OpenQDC: Open Quantum Data Commons Informing Geometric Deep Learning with Electronic Interactions to Accelerate Quantum Chemistry
Reference 26
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Observation 01a37351-6dae-428b-9047-ed0b9e066632 · outbound
OpenQDC: Open Quantum Data Commons Ani-1: an extensible neural network potential with dft accuracy at force field computational cost
Reference 27
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Observation 0f6633c1-79d9-4996-8091-6cd03a88cd23 · outbound
OpenQDC: Open Quantum Data Commons Torchani: A free and open source pytorch-based deep learning implementation of the ani neural network potentials
Reference 28
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Unavailable: canonical work link unavailable.
Observation 7e9108c9-0e3a-4d2b-9883-4cb2d951eff8 · outbound
OpenQDC: Open Quantum Data Commons Accurate and transferable multitask prediction of chemical properties with an atoms-in-molecules neural network
Reference 29
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Observation 0c970b5a-ee63-4d40-aeda-90c0e6a1b4d7 · outbound
OpenQDC: Open Quantum Data Commons Aimnet2: a neural network potential to meet your neutral, charged, organic, and elemental-organic needs
Reference 30
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Observation 411ac351-f6d3-48cf-a5c3-a9da88245a43 · outbound
OpenQDC: Open Quantum Data Commons MACE-OFF: Transferable Short Range Machine Learning Force Fields for Organic Molecules
Reference 31
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Observation 7d242368-120e-4f6a-a79c-fa6e6db11c71 · outbound
OpenQDC: Open Quantum Data Commons Forces are not enough: Benchmark and critical evaluation for machine learning force fields with molecular simulations
Reference 32
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Observation cf3c6074-784c-4aa6-9fe2-31d4a43b40c8 · outbound
OpenQDC: Open Quantum Data Commons Scalable bayesian uncertainty quantifi- cation for neural network potentials: Promise and pitfalls
Reference 33
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Observation 471fb39b-2a6a-4817-bce5-ae301db93853 · outbound
OpenQDC: Open Quantum Data Commons Molecular dynamics simulations with quantum mechanics/molec- ular mechanics and adaptive neural networks
Reference 34
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Observation eba4b91a-80e5-4a95-9364-ad9de055bdb5 · outbound
OpenQDC: Open Quantum Data Commons Unresolved cited work
Reference 35
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Observation 527eaf41-9ab0-4d26-bc4f-539db833a1cb · outbound
OpenQDC: Open Quantum Data Commons Learning multiple layers of features from tiny images
Reference 36
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Observation 195dd4b4-b9d1-49e5-b89d-66d19f567e34 · outbound
OpenQDC: Open Quantum Data Commons The cityscapes dataset for semantic urban scene understanding
Reference 37
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Observation 38cb714e-bd93-43ac-96c1-ad6c73bdd738 · outbound
OpenQDC: Open Quantum Data Commons Pointer sentinel mixture models, 2016
Reference 38
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Observation c44c2f8c-61b8-444e-aa84-a13d2797c804 · outbound
OpenQDC: Open Quantum Data Commons CCNet: Extracting high quality monolingual datasets from web crawl data
Reference 39
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Observation f992756a-01ae-42a4-8fff-49cc58ac32a9 · outbound
OpenQDC: Open Quantum Data Commons Unsupervised cross-lingual representation learning at scale
Reference 40
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Observation 92d59e94-12d5-4be3-b94c-bec577c0baf5 · outbound
OpenQDC: Open Quantum Data Commons Datasets: A community library for natural language processing
Reference 41
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Observation 744f4739-37cc-4464-b514-ba6ca74df737 · outbound
OpenQDC: Open Quantum Data Commons Torchvision: Pytorch’s computer vision library
Reference 42
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Observation 9c4953b7-bdef-43d2-ba18-15064f604624 · outbound
OpenQDC: Open Quantum Data Commons Therapeutics data commons: Machine learning datasets and tasks for drug discovery and development
Reference 43
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Observation a972224e-2361-4070-bc67-26c10495c7e3 · outbound
OpenQDC: Open Quantum Data Commons Unresolved cited work
Reference 44
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Observation 89cbdaec-7123-4e6a-93bc-edbfd2dc7838 · outbound
OpenQDC: Open Quantum Data Commons The molssi qcarchive project: An open-source platform to compute, organize, and share quantum chemistry data
Reference 45
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Observation f56afd72-7e98-49b3-9324-a014559545d0 · outbound
OpenQDC: Open Quantum Data Commons Colabfit exchange: Open-access datasets for data-driven interatomic potentials
Reference 46
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Observation 703fc173-9c6a-4298-befc-cfe5965243e0 · outbound
OpenQDC: Open Quantum Data Commons Quantum chemical bench- mark energy and geometry database for molecular clusters and complex molecular systems (www
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Observation 484eebd2-066a-4e38-b9ee-ce3a5d518432 · outbound
OpenQDC: Open Quantum Data Commons Cuby: An integrative framework for computational chemistry, 2016
Reference 48
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Observation c35ff4d2-ad03-464e-a819-d1d640d9ea0d · outbound
OpenQDC: Open Quantum Data Commons Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
Reference 49
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Observation 409e5806-f4c5-4498-8b21-3de9dc591461 · outbound
OpenQDC: Open Quantum Data Commons Moleculenet: a benchmark for molecular machine learning
Reference 50
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Observation 2ede94f9-28de-4c9c-bfdb-7435c1673e68 · outbound
OpenQDC: Open Quantum Data Commons Unresolved cited work
Reference 51
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Observation b30d835f-0055-4dee-bfcb-8ed848cb3e2d · outbound
OpenQDC: Open Quantum Data Commons Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 52
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Observation d4ae8b1a-59f1-40c4-b439-65c1d17d06c3 · outbound
OpenQDC: Open Quantum Data Commons Torchdrug: A powerful and flexible machine learning platform for drug discovery, 2022
Reference 53
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Observation 43f99f40-9a1d-4c28-aa0d-5265a6f3228a · outbound
OpenQDC: Open Quantum Data Commons Unresolved cited work
Reference 54
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Observation b17b8f8b-9592-4d60-8f54-be59bf3bfee1 · outbound
OpenQDC: Open Quantum Data Commons Electronic spectra from tddft and machine learning in chemical space
Reference 55
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Observation 2a7f6bee-0a3f-4cf4-b89b-2c128d0b8303 · outbound
OpenQDC: Open Quantum Data Commons Quantum chemistry structures and properties of 134 kilo molecules
Reference 56
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Observation 43976007-83c6-44b1-b84f-76d0b93cc36e · outbound
OpenQDC: Open Quantum Data Commons Pubchemqc pm6: Data sets of 221 million molecules with optimized molecular geometries and electronic properties
Reference 58
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Observation 089cacc5-7b14-4911-a091-a5ebd9e6fdb8 · outbound
OpenQDC: Open Quantum Data Commons OGB-LSC: A large-scale challenge for machine learning on graphs
Reference 59
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Observation d9747d2a-0d09-4c7a-9d0d-68dac00735db · outbound
OpenQDC: Open Quantum Data Commons Deepmd-kit: A deep learning package for many-body potential energy representation and molecular dynamics
Reference 60
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Observation 32be80c5-3234-4a3f-8ca1-7e1dde465ca9 · outbound
OpenQDC: Open Quantum Data Commons Dp-gen: A concurrent learning platform for the generation of reliable deep learning based potential energy models
Reference 61
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Observation 40fb02a7-272b-435f-9cd5-b00b11be62de · outbound
OpenQDC: Open Quantum Data Commons Pinn: A python library for building atomic neural networks of molecules and materials
Reference 62
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Observation ede7ddd5-3cae-46ff-816d-96b3ef97a458 · outbound
OpenQDC: Open Quantum Data Commons Elliott, and Ellad B
Reference 63
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Observation 38e9f85d-1e23-4e4d-a021-6b78f8c0265a · outbound
OpenQDC: Open Quantum Data Commons Jax md: a framework for differentiable physics
Reference 64
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Observation 0ad07671-2a83-467a-ad48-50df1b72528c · outbound
OpenQDC: Open Quantum Data Commons Torchmd: A deep learning framework for molecular simulations
Reference 65
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Observation 9d3d4ebb-f181-460d-be1c-b63b8ddea26f · outbound
OpenQDC: Open Quantum Data Commons Pelaez, Guillem Simeon, Raimondas Galvelis, Antonio Mirarchi, Peter Eastman, Stefan Doerr, Philipp Thölke, Thomas E
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OpenQDC: Open Quantum Data Commons Tensornet: Cartesian tensor representations for efficient learning of molecular potentials
Reference 67
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Observation fb3ad61b-13fc-4e57-adb8-c4f169e606a9 · outbound
OpenQDC: Open Quantum Data Commons Charron, Toni Giorgino, Brooke E
Reference 68
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OpenQDC: Open Quantum Data Commons Quantum-chemical insights from deep tensor neural networks
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Observation ca956f13-d98b-4fc9-b76f-f8f0d06bcbd7 · outbound
OpenQDC: Open Quantum Data Commons Schnet–a deep learning architecture for molecules and materials
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OpenQDC: Open Quantum Data Commons Schnetpack: A deep learning toolbox for atomistic systems
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OpenQDC: Open Quantum Data Commons Thermal half-lives of azobenzene derivatives: Virtual screening based on intersystem crossing using a machine learning potential
Reference 73
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Observation 725de08d-9822-479f-b729-ed5e38fbb0e7 · outbound
OpenQDC: Open Quantum Data Commons Excited state non- adiabatic dynamics of large photoswitchable molecules using a chemically transferable ma- chine learning potential
Reference 74
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Observation 86d0bec5-9274-401d-a2a7-8fcfc22fd449 · outbound
OpenQDC: Open Quantum Data Commons Mace: Higher order equivariant message passing neural networks for fast and accurate force fields
Reference 75
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OpenQDC: Open Quantum Data Commons The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials
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Observation 80777ac1-7804-4238-a075-42f1edd8afc1 · outbound
OpenQDC: Open Quantum Data Commons A foundation model for atomistic materials chemistry
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OpenQDC: Open Quantum Data Commons e3nn: Euclidean Neural Networks
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Reference 79
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Observation f2d78aac-5211-4a4f-af6d-a203e020dcc1 · outbound
OpenQDC: Open Quantum Data Commons Less is more: Sampling chemical space with active learning
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Observation 671f2a1a-88d0-4a67-aba4-09380469bfe5 · outbound
OpenQDC: Open Quantum Data Commons The ani-1ccx and ani-1x data sets, coupled-cluster and density functional theory properties for molecules
Reference 81
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OpenQDC: Open Quantum Data Commons Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning
Reference 82
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Observation 53eb722b-26a1-4aee-a7a1-6d68927f3ad0 · outbound
OpenQDC: Open Quantum Data Commons Chembl: towards direct deposition of bioassay data
Reference 83
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Observation 22b0c466-4c6c-4f8d-8727-d807db764d50 · outbound
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OpenQDC: Open Quantum Data Commons Geom, energy-annotated molecular conforma- tions for property prediction and molecular generation
Reference 85
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Observation cc7ba2dd-ed1b-4669-b94d-d82e43868d15 · outbound
OpenQDC: Open Quantum Data Commons Gfn2-xtb—an accurate and broadly parametrized self-consistent tight-binding quantum chemical method with multipole electrostatics and density-dependent dispersion contributions
Reference 86
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Observation 26885a43-0c0b-4b6b-8c21-2d273b6afa7a · outbound
OpenQDC: Open Quantum Data Commons Schnet: A continuous-filter convolutional neural network for modeling quantum interactions
Reference 87
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OpenQDC: Open Quantum Data Commons Accurate global machine learning force fields for molecules with hundreds of atoms
Reference 88
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Observation 05c1b4ed-9e4c-4df2-9869-34711c1895e8 · outbound
OpenQDC: Open Quantum Data Commons Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
Reference 89
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OpenQDC: Open Quantum Data Commons Multixc-qm9: Large dataset of molecular and reaction energies from multi-level quantum chemical methods
Reference 90
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Observation 77b49cd2-eeaf-4490-bc54-1968327adeff · outbound
OpenQDC: Open Quantum Data Commons Quantum chemistry structures and properties of 134 kilo molecules
Reference 91
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d3954375-91b3-4382-8284-f06c4cfed92f · outbound
OpenQDC: Open Quantum Data Commons nabladft: Large-scale conformational energy and hamiltonian prediction benchmark and dataset
Reference 92
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3b446486-07e0-4a87-9cbd-81d95abd1544 · outbound
OpenQDC: Open Quantum Data Commons Orbnet denali: A machine learning potential for biological and organic chemistry with semi-empirical cost and dft accuracy
Reference 93
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 80d9a8f3-da00-42d9-a9d9-9af795b36c83 · outbound
OpenQDC: Open Quantum Data Commons Pubchem 2023 update
Reference 94
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Observation ba095047-decc-4ee2-b302-df78197b39d5 · outbound
OpenQDC: Open Quantum Data Commons Pubchemqc b3lyp/6-31g*//pm6 data set: The electronic structures of 86 million molecules using b3lyp/6-31g* calculations
Reference 95
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f34c2d03-e923-4740-8b38-9119d9829707 · outbound
OpenQDC: Open Quantum Data Commons Qm7-x, a comprehensive dataset of quantum- mechanical properties spanning the chemical space of small organic molecules
Reference 96
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a77a7831-8468-4792-9f9a-10e065f2e6b2 · outbound
OpenQDC: Open Quantum Data Commons Qmugs, quantum mechanical properties of drug-like molecules
Reference 97
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 25ce238d-ea41-4628-9bc7-edc2f1383fae · outbound
OpenQDC: Open Quantum Data Commons On the role of gradients for machine learning of molecular energies and forces
Reference 98
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b0e45125-169c-4771-bd83-dd9adff58b37 · outbound
OpenQDC: Open Quantum Data Commons Machine learning of accurate energy-conserving molecular force fields
Reference 99
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5ae98d5d-e360-46e1-9ee7-b97bcc3a9c87 · outbound
OpenQDC: Open Quantum Data Commons Physnet: A neural network for predicting energies, forces, dipole moments, and partial charges
Reference 100
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 938880c7-fa08-4961-8d55-ee11bd1cefb6 · outbound
OpenQDC: Open Quantum Data Commons Spice, a dataset of drug-like molecules and peptides for training machine learning potentials
Reference 101
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 323ddd80-1237-4dfb-a433-4bd004560add · outbound
OpenQDC: Open Quantum Data Commons Spice 2.0.1, April 2024
Reference 102
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No inbound Pith citation observations are available.