Bugfix: The target temperature in ensemble nvt_lan keeps to be the initial one, not changing linearly from the initial one to the final one. New features: Added the model_type keyword in nep.in, which can be set to 0, 1, or 2, corresponding to NEP models for potential, dipole, and polarizability, respectively. Tutorials for training dipole and polarizability NEP models are created. Added path-integral molecular dynamics (PIMD) and related techniques such as ring-polymer molecular dynamics (RPMD) and thermostatted RPMD (TRPMD). The new keywords include ensemble pimd, ensemble rpmd, ensemble trpmd, and dump_beads. Added the homogeneous non-equilibrium molecular dynamics Evans-Cummings (HNEMDEC) mehod for calculating thermal conductivity an...
We develop a neuroevolution-potential (NEP) framework for generating neural network-based machine-le...
The convergence speed of NEP training has been significantly improved in most cases. Changed movie.x...
Enabled using a batchsize in NEP training (Therefore, one more line is added to nep.in). Now NEP ne...
Major changes: Added the Neuroevolution machine learning potentials (NEP) [https://arxiv.org/abs/21...
Major changes compared to GPUMD-v2.5: Created Jupyter notebooks (with Python 3) as the new tutorial...
Bugfix: fixed a bug for the plumed interface when the number of atoms exceeds 1024 #339 fixed a fil...
1) Changed about half of the code from C style to C++ style. 2) Added the homogeneous nonequilibrium...
Major changes compared to GPUMD-v2.6: Improved the accuracy of the NEP potential for multi-componen...
Fixed a bug for velocity initialization in linear-chain systems. Added off-diagonal pressure compone...
Added NEP4, which can be chosen by using the version keyword in nep.in. It is now the default versi...
Bugfix: fixed a bug for the plumed interface 1024 #395 fixed some bugs for the prediction mode in n...
Added NEP2 back (equivalent to the NEP as last released in GPUMD-v3.0). One can use the version keyw...
Fixed a bug related to MD simulations with the NEP potential: This bug exists in both GPUMD-v3.0 and...
The well-established molecular dynamics simulation methods for constant-NPT ensemble systems such as...
Removed the phonon executable, and added the compute_phonon keyword in run.in to do phonon dispersio...
We develop a neuroevolution-potential (NEP) framework for generating neural network-based machine-le...
The convergence speed of NEP training has been significantly improved in most cases. Changed movie.x...
Enabled using a batchsize in NEP training (Therefore, one more line is added to nep.in). Now NEP ne...
Major changes: Added the Neuroevolution machine learning potentials (NEP) [https://arxiv.org/abs/21...
Major changes compared to GPUMD-v2.5: Created Jupyter notebooks (with Python 3) as the new tutorial...
Bugfix: fixed a bug for the plumed interface when the number of atoms exceeds 1024 #339 fixed a fil...
1) Changed about half of the code from C style to C++ style. 2) Added the homogeneous nonequilibrium...
Major changes compared to GPUMD-v2.6: Improved the accuracy of the NEP potential for multi-componen...
Fixed a bug for velocity initialization in linear-chain systems. Added off-diagonal pressure compone...
Added NEP4, which can be chosen by using the version keyword in nep.in. It is now the default versi...
Bugfix: fixed a bug for the plumed interface 1024 #395 fixed some bugs for the prediction mode in n...
Added NEP2 back (equivalent to the NEP as last released in GPUMD-v3.0). One can use the version keyw...
Fixed a bug related to MD simulations with the NEP potential: This bug exists in both GPUMD-v3.0 and...
The well-established molecular dynamics simulation methods for constant-NPT ensemble systems such as...
Removed the phonon executable, and added the compute_phonon keyword in run.in to do phonon dispersio...
We develop a neuroevolution-potential (NEP) framework for generating neural network-based machine-le...
The convergence speed of NEP training has been significantly improved in most cases. Changed movie.x...
Enabled using a batchsize in NEP training (Therefore, one more line is added to nep.in). Now NEP ne...