Aid research and growth of industry through scientific computation.
Cost reduction for research and development through utilization of simulations, as well as foster new research themes and technological development.
Generate intrinsic values by discovering and employing sharp talent regardless of age or sex.
20-22th August 2017, Washington, DC
We exhibited in booth #622 at American Chemical Society 2017 Fall. Website Floor plan(Booth #622)
2-4th April 2017, San Francisco
We exhibited in booth #1634 at American Chemical Society 2017 Spring. Website Floor plan(Booth #1634)
21-23th August 2016, Philadelphia
We exhibited in booth #234 at American Chemical Society 2016 Fall. Website Floor plan(Booth #234)

WinmostarTM

WinmostarTM for you

Fragment ER on Winmostar

The Fragment ER method can evaluate differences in binding free energies between ligands of varying substituent groups at a high degree of accuracy. ERmod which uses the basic theory*1 of this technique has been downloaded more than 1600 times in 35 different countries. Fragment ER can simulate more than 10x faster than the conventional method*2.

*1 Energy Representation method
*2 Free Energy Perturbation method

Details

DC-DFTB on Winmostar

The DFTB method can be utilized to simulate chemical reactions of large systems. By applying the DC (divide- and-conquer) method, calculation times can be significantly reduced in comparison to the standard DFTB.

Details

Contracted Software Development

We develop software on contractual bases for applications in scientific computation, visualization, parallelization & GPGPU, data analysis, simulation, machine learning.

Our clients include:
Riken AICS (Advanced Institute for Computational Science), Riken QBiC (Quantitative Biology Center), National Institute of Advanced Industrial Science and Technology, National Institute of Natural Sciences, Japan Agency for Marine-Earth Science and Technology, Tokyo University, Kyoto University, Nagoya University, Kobe University, and various private sector companies.

XA-CUDA-QM

GPGPU acceleration module for Quantum Chemistry (NVIDIA GPU, Linux x86_64).
Performance and Accuracy: Material1 Material2 Material3

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