CECAM 講演報告

2024年2月19日～2月21日ドイツ・ベルリンで開催されたCentre Européen de Calcul Atomique et Moléculaire (CECAM) 主催の“Perspectives and challenges of future HPC installations for atomistic and molecular simulations” workshopにて、講演およびポスター発表を行いました。
多くの来場者の方からご好評いただきました。お立ち寄りくださった方、誠にありがとうございました。
講演資料を公開させていただきますので、ぜひご覧ください。

タイトル

Million years of research acceleration with universal neural network potential-based SaaS

内容

Introduce paper “Towards Universal Neural Network Potential for Material Discovery”
Impact made by cloud service Matlantis: Universal High-speed Atomistic Simulator

講演資料

講演者情報

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.

Rudy Coquet

Preferred Computational Chemistry, Inc.

Senior Manager at PFCC, he received his PhD in Chemistry from Cardiff University, UK in 2005 and his MBA from HEC Paris, France in 2013.