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86 entries in Physics

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OpenMMChodera Lab / StanfordGPU-native molecular dynamics with a scriptable Python API.molecular dynamicsOn demand
TimesFM 2.5Google ResearchForecast a series it has never seen, with no fitting and no training on your data.forecastingOn demand
active_matterpolymathic-aiHigh-fidelity simulations of self-propelled particle systems for benchmarking learned PDE solvers and emergent collective behaviour models.Physics SimulationExplore
AirfRANS_originalPLAID-datasetsOriginal AirfRANS airfoil RANS simulation dataset — graph-structured CFD over NACA airfoils for benchmarking physics-informed and graph neural networks.Aerodynamics CFDExplore
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 LiteratureExplore
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.Multimodal AstronomyExplore
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 FormatExplore
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 ImagingExplore
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 ImagingExplore
CCAluminary-shiftCommon Compressor Aero (CCA) dataset — compressor and turbomachinery simulations for ML-augmented aerospace design workflows.Aerospace CFDExplore
constellarationproxima-fusionLarge-scale dataset of quasi-isodynamic stellarator designs with MHD equilibria for fusion energy research.Fusion PhysicsExplore
core-sdonasa-ibm-ai4scienceMulti-modal Solar Dynamics Observatory dataset combining EUV imagery, magnetograms, and irradiance spectra for solar foundation model pre-training.Solar PhysicsExplore
dataset_debyet_aflowfoundry-mlDebye temperature data from the AFLOW database — fundamental thermal-vibrational descriptor for ML materials property prediction.Thermal PropertiesExplore
dataset_exfoliationefoundry-mlExfoliation energy dataset for 2D materials — supports ML-driven discovery of layered compounds suitable for monolayer isolation.2D MaterialsExplore
dataset_perovskite_tecfoundry-mlThermal expansion coefficients for perovskite materials — curated for ML thermal-property prediction.Perovskite PropertiesExplore
dataset_rpv_ttsfoundry-mlReactor pressure-vessel (RPV) transition-temperature shift dataset — supports ML prediction of irradiation embrittlement.Reactor MaterialsExplore
dataset_thermalcond_aflowfoundry-mlThermal conductivity values from the AFLOW database — supports ML-based screening of thermal management materials.Thermal PropertiesExplore
dataset_thermalexp_aflowfoundry-mlThermal expansion coefficients from the AFLOW database — for ML thermal-mechanical modelling of inorganic materials.Thermal PropertiesExplore
dielectric_constant_v1-1foundry-mlDielectric-constant values for inorganic compounds — supports ML screening of high-k materials for capacitors and devices.Dielectric PropertiesExplore
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 MicroscopyExplore
double_perovskite_bandgap_v1-1foundry-mlComputed band gaps for double-perovskite compounds — supports ML-based screening for photovoltaic and optoelectronic applications.Electronic StructureExplore
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 CFDExplore
elastic_tensor_v1-1foundry-mlElastic tensor data for inorganic materials — supports ML prediction of bulk and shear moduli.Mechanical PropertiesExplore
foundry_aflow_band_gaps_v1-1foundry-mlBand-gap values from the AFLOW high-throughput materials database, formatted for ML model training and evaluation.Electronic StructureExplore
foundry_g4mp2_solvation_v1-2foundry-mlHigh-accuracy G4MP2 solvation-energy data — supports ML for quantum-chemical accuracy on aqueous and organic systems.Solvation EnergiesExplore
foundry_mp_band_gaps_v1-1foundry-mlBand-gap values curated from the Materials Project for ML benchmarking on inorganic electronic structure.Electronic StructureExplore
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 StructureExplore
foundry_qmc_ml_v1-1foundry-mlQuantum Monte Carlo (QMC) reference data for ML benchmarking — high-accuracy electronic structure calculations on small molecules.Quantum ChemistryExplore
heusler_magnetization_v1-1foundry-mlMagnetisation data for Heusler-alloy compounds — supports ML discovery of half-metallic and magnetocaloric materials.Magnetic PropertiesExplore
LeMat-BulkLeMaterialPrimary bulk materials database aggregating 1M+ crystal structures with DFT-computed formation energies, band gaps, and elastic properties for materials discovery.Materials ScienceExplore
LeMat-Bulk-DFT-HullLeMaterialDFT convex hull reference data for materials stability analysis.Materials ScienceExplore
LeMat-Bulk-DFT-Hull-AllLeMaterialComplete DFT convex hull dataset for bulk materials discovery.Materials ScienceExplore
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 ScienceExplore
LeMat-Bulk-MLIP-HullLeMaterialConvex hull data for bulk materials from MLIP calculations.Materials ScienceExplore
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 ScienceExplore
LeMat-GenBench-embeddingsLeMaterialPrecomputed embeddings for the LeMat-GenBench benchmark — drop-in features for evaluating generative materials models on crystal-structure prediction and downstream tasks.Materials EmbeddingsExplore
LeMat-RhoLeMaterialLeMat-Rho — ~69,000 inorganic crystal structures computed at the r2SCAN meta-GGA level in VASP, with charge densities, Bader charges, forces, stresses, and energies for ML training and electronic-structure analysis.Materials ScienceExplore
LeMat-TrajLeMaterialLarge-scale molecular dynamics trajectory dataset for training machine learning interatomic potentials across diverse bulk material compositions.Materials ScienceExplore
LeMat-Traj-subsetLeMaterialSmaller curated subset of LeMat-Traj — manageable slice of the full molecular-dynamics trajectory corpus for prototyping and small-scale MLIP training.Materials ScienceExplore
MHD_64polymathic-ai3D magnetohydrodynamics turbulence simulations at 64³ resolution for training and benchmarking physics-informed neural operators.Physics SimulationExplore
msr-acc-tae25microsoftMicrosoft Research Accurate Chemistry Collection — large dataset of high-accuracy electronic-structure calculations (TAE25 split) for training and evaluating quantum-chemistry ML models.Quantum Chemistry DatasetExplore
peS2oallenaiApproximately 40M cleaned, filtered, and formatted open-access academic papers derived from S2ORC — a large multi-domain pretraining corpus for science-aware language models, spanning biology, chemistry, engineering, computer science, and physics.Pretraining CorpusExplore
piezoelectric_tensor_v1-1foundry-mlPiezoelectric tensor data for inorganic materials — supports ML for sensor and actuator material design.Electromechanical PropertiesExplore
planetswepolymathic-aiSpherical shallow-water equation simulations modelling large-scale planetary atmospheric dynamics for weather and climate surrogate models.Physics SimulationExplore
principia-benchfacebookCurated benchmark of challenging STEM problems requiring multi-step reasoning, quantitative analysis, and domain knowledge across natural sciences.STEM BenchmarkExplore
principia-collectionfacebookLarge-scale STEM reasoning dataset from Meta covering mathematics, physics, chemistry, and biology problems for training and evaluating scientific reasoning in language models.STEM ReasoningExplore
Pumpluminary-shiftCFD simulations of centrifugal pumps spanning operating conditions — for training ML surrogates of turbomachinery flow and performance.Turbomachinery CFDExplore
rayleigh_benardpolymathic-aiRayleigh–Bénard thermal convection simulations at varying Rayleigh and Prandtl numbers for benchmarking turbulence and heat transfer models.Physics SimulationExplore

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