RESPACK is a first-principles calculation software for evaluating the interaction parameters of materials and is able to calculate maximally localized Wannier functions, response functions based on the random phase approximation and related optical properties, and frequency-dependent electronic interaction parameters. RESPACK receives its input data from a band-calculation code using norm-conserving pseudopotentials with plane-wave basis sets. Automatic generation scripts that convert the band-structure results to the RESPACK inputs are prepared for xTAPP and Quantum ESPRESSO. An input file for specifying the RESPACK calculation conditions is designed pursuing simplicity and is given in the Fortran namelist format. RESPACK supports hybrid p...
Computational Theoretical Chemnistry is a research area which, as far as electronic structure proble...
SHARP pack, short for Surface Hopping And Ring Polymer package, is a highly-parallelized software wi...
In this thesis, we present a new implementation of the constrained Random Phase Approximation (cRPA)...
RESPACK is a first-principles calculation software for evaluating the interaction parameters of mate...
We develop the interface tool $\verb|wan2respack|$, which connects $\verb|RESPACK|$ (software that d...
In this thesis, we explore ways to predict the electronic structure of physical systems comprising t...
TurboRVB is a computational package for ab initio Quantum Monte Carlo (QMC) simulations of both mole...
We present the python package reskit, developed to calculate the coefficients of an analytical conti...
We present PYATB, a Python package designed for computing band structures and related properties of ...
The Quantum-ESPRESSO package is a multi-purpose and multi-platform software for ab-initio calculatio...
A new ab-inito method and the related computer code has been developed within this work --- in accor...
SchNetPack is a toolbox for the development and application of deep neural networks that predict pot...
The knowledge of the stopping power is essential for a variety of applications which depend on the ...
The Quantum-ESPRESSO package is a multi-purpose and multi-platform software for ab-initio calculatio...
New methods to efficiently calculate energetics and first order-properties for mean-field and correl...
Computational Theoretical Chemnistry is a research area which, as far as electronic structure proble...
SHARP pack, short for Surface Hopping And Ring Polymer package, is a highly-parallelized software wi...
In this thesis, we present a new implementation of the constrained Random Phase Approximation (cRPA)...
RESPACK is a first-principles calculation software for evaluating the interaction parameters of mate...
We develop the interface tool $\verb|wan2respack|$, which connects $\verb|RESPACK|$ (software that d...
In this thesis, we explore ways to predict the electronic structure of physical systems comprising t...
TurboRVB is a computational package for ab initio Quantum Monte Carlo (QMC) simulations of both mole...
We present the python package reskit, developed to calculate the coefficients of an analytical conti...
We present PYATB, a Python package designed for computing band structures and related properties of ...
The Quantum-ESPRESSO package is a multi-purpose and multi-platform software for ab-initio calculatio...
A new ab-inito method and the related computer code has been developed within this work --- in accor...
SchNetPack is a toolbox for the development and application of deep neural networks that predict pot...
The knowledge of the stopping power is essential for a variety of applications which depend on the ...
The Quantum-ESPRESSO package is a multi-purpose and multi-platform software for ab-initio calculatio...
New methods to efficiently calculate energetics and first order-properties for mean-field and correl...
Computational Theoretical Chemnistry is a research area which, as far as electronic structure proble...
SHARP pack, short for Surface Hopping And Ring Polymer package, is a highly-parallelized software wi...
In this thesis, we present a new implementation of the constrained Random Phase Approximation (cRPA)...