2 papers
physics.chem-ph2018
A portable code for dissipative particle dynamics (DPD) simulations with additional specific interactions
Hideo Doi, Koji Okuwaki, Takamitsu Naito +2
We developed a portable code for dissipative particle dynamics (DPD) simulations. This Fortran program named CAMUS has a couple of notable features. One is the omission of construc…
physics.chem-ph2018
Application of TensorFlow to recognition of visualized results of fragment molecular orbital (FMO) calculations
Sona Saitou, Jun Iijima, Mayu Fujimoto +4
We have applied Google's TensorFlow deep learning toolkit to recognize the visualized results of the fragment molecular orbital (FMO) calculations. Typical protein structures of al…