no code implementations • 19 Oct 2022 • Hideyoshi Yanagisawa, Xiaoxiang Wu, Kazutaka Ueda, Takeo Kato
To explain the effect of arousal on emotional valence, we propose a novel mathematical framework of arousal potential variations in the dual process of human cognition: automatic and controlled.
2 code implementations • 30 Nov 2017 • Takahiro Misawa, Satoshi Morita, Kazuyoshi Yoshimi, Mitsuaki Kawamura, Yuichi Motoyama, Kota Ido, Takahiro Ohgoe, Masatoshi Imada, Takeo Kato
mVMC (many-variable Variational Monte Carlo) is an open-source software based on the variational Monte Carlo method applicable for a wide range of Hamiltonians for interacting fermion systems.
Strongly Correlated Electrons Superconductivity Computational Physics
