Cornell-Holland Ab-initio Materials Package
The Cornell-Holland Ab-initio Materials Package (CHAMP) is a quantum Monte Carlo suite of programs for electronic structure calculations of atomic and molecular systems. The code is a sister code of the homonymous program originally developed by Cyrus Umrigar and Claudia Filippi of which it retains the accelerated Metropolis method and the efficient diffusion Monte Carlo algorithms.
The European branch of the code is currently developed by Claudia Filippi and Saverio Moroni, with significant contributions by Claudio Amovilli and other collaborators.
CHAMP has three basic capabilities:
- Metropolis or variational Monte Carlo (VMC)
- Diffusion Monte Carlo (DMC)
- Optimization of many-body wave functions by energy minimization (VMC) for ground and excited states
Noteworthy features of CHAMP are:
- Efficient wave function optimization also in a state-average fashion for multiple states of the same symmetry (VMC)
- Efficient computation of analytical interatomic forces (VMC)
- Compact formulation for a fast evaluation of multi-determinant expansions and their derivatives (VMC and DMC)
- Multiscale VMC and DMC calculations in classical point charges (MM), polarizable continuum model (PCM), and polarizable force fields (MMpol)
About the project
CHAMP © 2022-2023 by Prof. Claudia Filippi.
License
CHAMP is distributed by an GPl-3.0 license.
Thank you to the contributors of CHAMP!
Source code usage and collaboration
You should neither obtain this program from any other source nor should you distribute it or any portion thereof to any person, including people in the same research group. It is expected that users of the programs will do so in collaboration with one of the principal authors. This serves to ensure both that the programs are used correctly and that the principal authors get adequate scientific credit for the time invested in developing the programs.
Usual disclaimer
The authors make no claims about the correctness of the program suite and people who use it do so at their own risk.