Event Report
Conferences and lectures
Zuse Institute Berlin, Germany2024.2.19-21 (GER)
CECAM lecture report
We gave a talk and a poster presentation at the “Perspectives and challenges of future HPC installations for atomic and molecular simulations” workshop organized by the Centre Européen de Calcul Atomique et Moléculaire (CECAM) held in Berlin, Germany from February 19th to 21st, 2024.
We received positive feedback from many visitors. Thank you very much to everyone who stopped by.
The presentation materials will be made public, so please take a look.
Title
Million years of research acceleration with universal neural network potential-based SaaS
Contents
- Introduce paper “Towards Universal Neural Network Potential for Material Discovery”
- Impact made by cloud service Matlantis: Universal High-speed Atomistic Simulator
Presentation Materials
Speaker Information
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.
公開日：2024.02.26
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