{"library":"torch-sim-atomistic","type":"library","category":null,"description":"A PyTorch toolkit for calculating material properties using machine learning interatomic potentials (MLIPs). Current version 0.6.0 supports SIMPL, MACE, CHGNet, and other models via a unified interface. Release cadence is quarterly.","language":"python","status":"active","version":"0.6.0","tags":["machine-learning","interatomic-potentials","materials-science","pytorch","MLIP"],"last_verified":"Mon Apr 27","install":[{"cmd":"pip install torch-sim-atomistic","imports":["from torch_sim_atomistic import TorchSim","from torch_sim_atomistic.models import MACE"]}],"homepage":null,"github":"https://github.com/torchsim/torch-sim","docs":null,"changelog":null,"pypi":"https://pypi.org/project/torch-sim-atomistic/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}