{"library":"chgnet","type":"library","category":null,"description":"CHGNet (Charge-informed Graph Neural Network) is a pretrained universal neural network potential for charge-informed atomistic modeling. Version 0.4.2 supports Python >=3.10 and provides models for energy, forces, stresses, and charge predictions. Released under the CederGroupHub.","language":"python","status":"active","version":"0.4.2","tags":["neural-network-potential","atomistic","charge-informed","universal-potential","materials-science"],"last_verified":"Sun Jun 07","install":[{"cmd":"pip install chgnet","imports":["from chgnet.model import CHGNetCalculator","from chgnet.model import CHGNet","from pymatgen.core import Structure"]}],"homepage":"https://github.com/CederGroupHub/chgnet","github":"https://github.com/CederGroupHub/chgnet","docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}