[On-demand version now available] How a general-purpose neural network potential for materials exploration was created

Kosuke Nakago

Preferred Networks, Inc.

Kosuke Nakago is an Engineer at Preferred Networks, Inc. He received his master degree in theoretical physics from the University of Tokyo in 2014. He worked on deep learning research & development at Preferred Networks, Inc. and developed chainer-chemistry, A Library for Deep Learning in Biology and Chemistry. He is also supporting users to utilize Matlantis for their innovative material discovery at Preferred Computational Chemistry, Inc. His research interest includes deep learning as well as its application to materials science. He also participates data science competition and he is Kaggle competition master and notebooks grandmaster.

Taku Watanabe

Preferred Computational Chemistry Inc.

Taku Watanabe, PhD. is a Lead Researcher at Preferred Computational Chemistry Inc. He earned his Ph.D. in Materials Science and Engineering from the University of Florida and did postdoctoral research in Chemical Engineering at Georgia Institute of Technology. In 2012, he joined Samsung R&D Institute Japan and dedicated his career for all-solid-state battery research for nearly eight years. His current research interest extends to battery materials, nanoporous solids, surface science, and the application of machine learning technology to computational chemistry in general.