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MatterSim: A deep learning atomistic model across elements, temperatures and pressures.
Graphormer is a general-purpose deep learning backbone for molecular modeling.
A trainable PyTorch reproduction of AlphaFold 3.
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)
Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov
quacc is a flexible platform for computational materials science and quantum chemistry that is built for the big data era.
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
Recent advancements propelled by large language models (LLMs), encompassing an array of domains including Vision, Audio, Agent, Robotics, Fundamental Sciences such as Mathematics, and Ominous.
List of Geometric GNNs for 3D atomic systems
A general AI agent framework that can be adapted to various tasks and environments.