dhw059
Artificial intelligence technology accelerates the design of new materials. Battery management system software development, battery management calibration softw
上海交通大学上海市东川路800号
Pinned Repositories
aiida-core
The official repository for the AiiDA code
AIRS
Artificial Intelligence Research for Science (AIRS)
AlphaCrystal
AlphaCrytal: Contact map based deep learning algorithm for crystal structure prediction
atomate
atomate is a powerful software for computational materials science and contains pre-built workflows.
BatteryManagementSystem
Integrated software for comprehensive BMS strategy validation, SOC accuracy estimation, cell boundary definition, and battery data analysis.
DeepModelFusion
L-G-DCNN improves material property predictions with a fusion strategy based on Chemical Environment Classification Vector.
DenseGNN
DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules
LLM-predictor
The strategy of material dataset based on Tokens, utilizing LLM to achieve material prediction, discovery, and design.
maml
maml (MAterials Machine Learning) is a Python package that aims to provide useful high-level interfaces that make ML for materials science as easy as possible.
pymatgen
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
dhw059's Repositories
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