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nucl-th2026
Neural-Network-Based Variational Method in Nuclear Density Functional Theory: Application to the Extended Thomas-Fermi Model
Kenta Yoshimura
We propose a neural-network-based variational framework for nuclear Density Functional Theory based on the extended Thomas--Fermi (ETF) model, in which proton and neutron number de…
hep-lat2026
Parameter Optimization of Domain-Wall Fermion using Machine Learning
Shunsuke Yasunaga, Kenta Yoshimura, Akio Tomiya +1
We study a parameter optimization of domain-wall fermions to improve chiral symmetry based on machine learning. Domain-wall fermions involve coefficients along the fifth dimension,…