Preferred Computational Chemistry
- Video
- Seminar
- New Product
Exhibition: nano tech 2022
Zone: Others: Organizer Special Exhibition
Exhibit Highlights
We support development of innovative materials for a sustainable future
Matlantis is a highly versatile atomistic simulator based on Preferred Network's (PFN's) deep learning technology and enormous computing resources. At our exhibition stand, PFCC members will introduce the outline of Matlantis with some examples of its application to digital transformation in materials development.
Product 1 New Product Video Pdf
Matlantis : a general-purpose atomic simulator
Matlantis supports large-scale materials discovery. A deep learning model has been incorporated into a conventional physical simulator to increase the simulation speed by tens of thousands of times and to support a wide variety of materials. The deep learning model for Matlantis has been trained with a vast amount of atomic structure data generated by physical simulation on PFN’s supercomputers.
Introduction of Matlantis_English.pdf
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Preferred Computational Chemistry