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Models
297
Datasets
245
Organisations
128

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85 entries in Physics

Showing 48 of 85

OpenMMChodera Lab / StanfordGPU-native molecular dynamics with a scriptable Python API.molecular dynamicsOn demand
active_matterpolymathic-aiHigh-fidelity simulations of self-propelled particle systems for benchmarking learned PDE solvers and emergent collective behaviour models.Physics SimulationBrowse
AIFS ENS 1.0ecmwfFirst 1.0 release of the AIFS ensemble model — probabilistic data-driven global forecasts, predecessor to AIFS ENS 2.0.Weather ForecastingBrowse
AIFS ENS 2.0ecmwfLatest AIFS ensemble forecasting model — generates probabilistic medium-range global forecasts on the Anemoi framework, the open ML counterpart to ECMWF’s IFS ensemble.Weather ForecastingBrowse
AIFS Single 0.2.1ecmwfEarly-release AIFS deterministic model (0.2.1) — original AIFS checkpoint demonstrating ECMWF’s data-driven medium-range forecasting on the Anemoi framework.Weather ForecastingBrowse
AIFS Single 1.1ecmwfAIFS Single 1.1 — intermediate deterministic AIFS release on the Anemoi framework, supporting reproducibility of operational forecast comparisons.Weather ForecastingBrowse
AIFS Single 2.0ecmwfLatest deterministic AIFS — ECMWF’s data-driven global weather model on the Anemoi framework, producing single-trajectory medium-range forecasts.Weather ForecastingBrowse
Aion Basepolymathic-aiMulti-domain scientific foundation model.Foundation ModelBrowse
AirfRANS_originalPLAID-datasetsOriginal AirfRANS airfoil RANS simulation dataset — graph-structured CFD over NACA airfoils for benchmarking physics-informed and graph neural networks.Aerodynamics CFDBrowse
AmberToolsAmber consortiumThe Amber force field family plus the full analysis toolchain.molecular dynamicsBrowse
arxiv-abstracts-largeUniverseTBD1.7 million scholarly article abstracts spanning physics, computer science, and statistics from arXiv, structured for pretraining and fine-tuning astronomy and scientific language models.Scientific LiteratureBrowse
AstroCLIPpolymathic-aiMultimodal astronomy model aligning galaxy spectra and images into a shared embedding space for downstream astrophysical property prediction.Astronomy Foundation ModelBrowse
AstroLLaVA_convosUniverseTBDAstronomical images paired with detailed captions and question-answer pairs sourced from APOD, ESO, and ESA Hubble archives, for training multimodal vision-language models on astrophysics. ## Models (7)Multimodal AstronomyBrowse
AtompackLeMaterialAtompack — Hub-hosted public atomistic ML datasets distributed in the Atompack format, part of the broader LeMaterial effort to standardise atomistic data exchange.Atomistic ML FormatBrowse
atomvison_atomistic_stm_images_2d_materials_unique_chemical_compositions_structure_v1-1foundry-mlSimulated STM images for 2D materials with unique chemical compositions — supports ML on atomic-resolution microscopy.STM ImagingBrowse
atomvison_simulated_atomistic_stem_images_2d_materials_unique_chemical_compositions_structure_bafoundry-mlSimulated STEM images for 2D materials — paired with structure metadata for training ML models on electron microscopy.STEM ImagingBrowse
AuroramicrosoftFoundation model for the Earth system — global weather forecasting, atmospheric chemistry, ocean waves, and tropical-cyclone tracking from a single shared backbone.Weather Foundation ModelBrowse
AutoDock-GPUScripps ResearchMassively parallel Lamarckian genetic algorithm docking for library screens.virtual screeningBrowse
CCAluminary-shiftCommon Compressor Aero (CCA) dataset — compressor and turbomachinery simulations for ML-augmented aerospace design workflows.Aerospace CFDBrowse
constellarationproxima-fusionLarge-scale dataset of quasi-isodynamic stellarator designs with MHD equilibria for fusion energy research.Fusion PhysicsBrowse
core-sdonasa-ibm-ai4scienceMulti-modal Solar Dynamics Observatory dataset combining EUV imagery, magnetograms, and irradiance spectra for solar foundation model pre-training.Solar PhysicsBrowse
dataset_debyet_aflowfoundry-mlDebye temperature data from the AFLOW database — fundamental thermal-vibrational descriptor for ML materials property prediction.Thermal PropertiesBrowse
dataset_exfoliationefoundry-mlExfoliation energy dataset for 2D materials — supports ML-driven discovery of layered compounds suitable for monolayer isolation.2D MaterialsBrowse
dataset_perovskite_tecfoundry-mlThermal expansion coefficients for perovskite materials — curated for ML thermal-property prediction.Perovskite PropertiesBrowse
dataset_rpv_ttsfoundry-mlReactor pressure-vessel (RPV) transition-temperature shift dataset — supports ML prediction of irradiation embrittlement.Reactor MaterialsBrowse
dataset_thermalcond_aflowfoundry-mlThermal conductivity values from the AFLOW database — supports ML-based screening of thermal management materials.Thermal PropertiesBrowse
dataset_thermalexp_aflowfoundry-mlThermal expansion coefficients from the AFLOW database — for ML thermal-mechanical modelling of inorganic materials.Thermal PropertiesBrowse
dielectric_constant_v1-1foundry-mlDielectric-constant values for inorganic compounds — supports ML screening of high-k materials for capacitors and devices.Dielectric PropertiesBrowse
direct_electron_detectorceleritas_xs_simulated_readout_images_electron_counting_model_v1-1foundry-mlSimulated readout images from a Celeritas XS direct-electron detector — training data for electron-counting models in cryo-EM and STEM.Electron MicroscopyBrowse
double_perovskite_bandgap_v1-1foundry-mlComputed band gaps for double-perovskite compounds — supports ML-based screening for photovoltaic and optoelectronic applications.Electronic StructureBrowse
drivaermlneashtonHigh-fidelity CFD simulation dataset of the DrivAer reference automotive geometry — resolved-flow data for training ML models on aerodynamics prediction (drag, downforce, surface pressure).Automotive CFDBrowse
elastic_tensor_v1-1foundry-mlElastic tensor data for inorganic materials — supports ML prediction of bulk and shear moduli.Mechanical PropertiesBrowse
Equiformer v3mirror-physicsEquivariant graph transformer for molecular and materials modeling — predicts energies, forces, and properties on molecular structures and crystals.Equivariant GNNBrowse
FNO Active Matterpolymathic-aiFourier Neural Operator for active matter prediction.Physics Foundation ModelBrowse
foundry_aflow_band_gaps_v1-1foundry-mlBand-gap values from the AFLOW high-throughput materials database, formatted for ML model training and evaluation.Electronic StructureBrowse
foundry_g4mp2_solvation_v1-2foundry-mlHigh-accuracy G4MP2 solvation-energy data — supports ML for quantum-chemical accuracy on aqueous and organic systems.Solvation EnergiesBrowse
foundry_mp_band_gaps_v1-1foundry-mlBand-gap values curated from the Materials Project for ML benchmarking on inorganic electronic structure.Electronic StructureBrowse
foundry_oqmd_band_gaps_v1-1foundry-mlBand-gap values from the Open Quantum Materials Database (OQMD), prepared for ML benchmarking on inorganic crystal electronic structure.Electronic StructureBrowse
foundry_qmc_ml_v1-1foundry-mlQuantum Monte Carlo (QMC) reference data for ML benchmarking — high-accuracy electronic structure calculations on small molecules.Quantum ChemistryBrowse
FourCastNet 3nvidiaAdvanced ML model for global weather forecasting - produces 60-day forecasts in under 4 minutes on a single GPU.Weather PredictionBrowse
GROMACSGROMACS consortiumThe high-performance MD workhorse for large systems and membranes.molecular dynamicsBrowse
heusler_magnetization_v1-1foundry-mlMagnetisation data for Heusler-alloy compounds — supports ML discovery of half-metallic and magnetocaloric materials.Magnetic PropertiesBrowse
LeMat-BulkLeMaterialPrimary bulk materials database aggregating 1M+ crystal structures with DFT-computed formation energies, band gaps, and elastic properties for materials discovery.Materials ScienceBrowse
LeMat-Bulk-DFT-HullLeMaterialDFT convex hull reference data for materials stability analysis.Materials ScienceBrowse
LeMat-Bulk-DFT-Hull-AllLeMaterialComplete DFT convex hull dataset for bulk materials discovery.Materials ScienceBrowse
LeMat-Bulk-MLIP-Formation-EnergiesLeMaterialFormation energies for LeMat-Bulk computed with multiple ML interatomic potentials (MLIPs) — used to benchmark MLIPs and to derive MLIP-based stability estimates.Materials ScienceBrowse
LeMat-Bulk-MLIP-HullLeMaterialConvex hull data for bulk materials from MLIP calculations.Materials ScienceBrowse
LeMat-BulkUniqueLeMaterialDeduplicated companion to LeMat-Bulk — unique inorganic crystal structures aggregated across source databases, intended as a curated training set for generative materials models.Materials ScienceBrowse

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