MARC-TS introduces a two-stage framework that learns endpoint-conditioned continuous reaction paths, queries at arbitrary resolution, and refines transition-state candidates via local path context, with T1x-IRC-8K dataset of 8,209 reactions and 1.09M path-resolved geometries.
See LICENSE filereaction pathtransition statechemical reaction
Presents FRPN, a Full-Resolution Polymer Network that retains both atom-level details and monomer-level connectivity for multi-scale polymer property prediction.
See LICENSE filepolymermulti-scale modelingmaterials discovery
A large-scale CFD-generated wind field simulation dataset containing over 12,000 cases, designed for training and evaluating terrain-informed machine learning models to reconstruct fine-scale 3D wind fields
See LICENSE fileCFDwind field simulationmachine learning
Large-scale CFD-generated wind field dataset with over 12,000 cases, designed for training and evaluating the terrain-informed machine learning model FuXi-CFD for fine-scale 3D wind field reconstruction.
See LICENSE filewind field simulationCFDmachine learning
MaCroScope-Physics-1k is a physics-related scientific dataset published by the ai4collaboration team, designed to support research at the intersection of physical modeling and machine learning.
See LICENSE filedatasetphysics sciencemachine learning
MaCroScope-Physics-4k is a physics-related dataset hosted by ai4collaboration on HuggingFace, with the name suggesting approximately 4,000 samples, potentially for machine learning and physics modeling research.
See LICENSE filedatasetphysics sciencemachine learning
