Added Non-adiabatic coupling vectors for linear response calculations Hellmann-Feynman testing for the xTB hamiltonian dipoles Born charges and derivatives can now be calculated for a subset of the desired atoms (similar to the Hessian). Changed Binary output is done using stream I/O to enable processing of those files in Python or C. The BinaryAccessTypes option can be used to restore the old (compiler dependent) sequential I/O. Fixed Tool dp_dos produced obviously incorrect results for Pauli-Hamiltonians (e.g. when using spin-orbit coupling). Other Hamiltonians were not affected.When publishing results obtained with DFTB+, please cite it using the metadata from 'preferred-citation'
We present an overview of the onetep program for linear-scaling density functional theory (DFT) calc...
DFTK v0.6.6 Diff since v0.6.5 Merged pull requests: Need to depend on AtomsIOPython in tests (#838)...
Adiabatic response time-dependent density functional theory (TDDFT) suffers from the restriction to...
DFTB+ is a versatile community developed open source software package offering fast and efficient me...
DFTB+ is a versatile community developed open source software package offering fast and efficient me...
22.1 Added Real time electronic dynamics for xTB Hamiltonian Real time electronic dynamics for ran...
Data associated with the paper entitled On application of Deep Learning to simplified quantum-clas...
Density Functional Theory (DFT) which is based on quantum mechanics theory has been broadly used to ...
Density functional theory (DFT) is a computational quantum mechanical modeling used in physics, chem...
Simulations are progressively becoming an everyday tool for the understanding of materials. DFT is w...
A new versatile code based on Python scripts was developed to calculate spin–orbit coupling (SOC) el...
We introduce HP, an implementation of density-functional perturbation theory, designed to compute Hu...
# Data and Scripts for "Accelerating Equilibration in First-Principles Molecular Dynamics with Orbit...
Added Born charges and polarizability derivatives from finite difference derivatives. Infrared and...
Current neural networks for predictions of molecular properties use quantum chemistry only as a sour...
We present an overview of the onetep program for linear-scaling density functional theory (DFT) calc...
DFTK v0.6.6 Diff since v0.6.5 Merged pull requests: Need to depend on AtomsIOPython in tests (#838)...
Adiabatic response time-dependent density functional theory (TDDFT) suffers from the restriction to...
DFTB+ is a versatile community developed open source software package offering fast and efficient me...
DFTB+ is a versatile community developed open source software package offering fast and efficient me...
22.1 Added Real time electronic dynamics for xTB Hamiltonian Real time electronic dynamics for ran...
Data associated with the paper entitled On application of Deep Learning to simplified quantum-clas...
Density Functional Theory (DFT) which is based on quantum mechanics theory has been broadly used to ...
Density functional theory (DFT) is a computational quantum mechanical modeling used in physics, chem...
Simulations are progressively becoming an everyday tool for the understanding of materials. DFT is w...
A new versatile code based on Python scripts was developed to calculate spin–orbit coupling (SOC) el...
We introduce HP, an implementation of density-functional perturbation theory, designed to compute Hu...
# Data and Scripts for "Accelerating Equilibration in First-Principles Molecular Dynamics with Orbit...
Added Born charges and polarizability derivatives from finite difference derivatives. Infrared and...
Current neural networks for predictions of molecular properties use quantum chemistry only as a sour...
We present an overview of the onetep program for linear-scaling density functional theory (DFT) calc...
DFTK v0.6.6 Diff since v0.6.5 Merged pull requests: Need to depend on AtomsIOPython in tests (#838)...
Adiabatic response time-dependent density functional theory (TDDFT) suffers from the restriction to...