About
JaQMC is a JAX-based framework for neural network quantum Monte Carlo (QMC). It uses deep neural networks as variational wavefunctions to solve the electronic Schrödinger equation, achieving high accuracy without relying on basis sets or density functionals.
Open Source Health
- Stars
- 121
- Forks
- 27
- License
- Apache-2.0
- Last commit
- 1 months ago
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ByteDance
Publisher of UI TARS Desktop, Trae Agent and danmu.js
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