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GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.
Efficient parallel quantum chemistry DMRG in MPO formalism
Library first implementation of the D3 dispersion correction
Quantum computational chemistry based on TensorCircuit
Demos for the 2022 Many Electron Collaboration Workshop on PySCF
A python wrapper for https://www.chemie.uni-bonn.de/pctc/mulliken-center/software/dft-d3/get-the-current-version-of-dft-d3
Multifunctional geometry optimization tools for quantum chemical calculations
Source code for Automatic Differentiation for the Direct Minimization Approach to the Hartree-Fock Method
Automatic diagram and code generation of quantum chemistry coupled-cluster equations
Quantum computational chemistry based on TensorCircuit
Implementation of local algorithms within pyscf
Green's function methods using auxiliary space
Fast-randomized iteration for coupled cluster.
A talk about PySCF and how it relates to the rest of the CCQ software ecosystem
2023 MindSpore 量子计算黑客松全国大赛