PFCC to Present a Poster at 24th Annual Advanced Automotive Battery Conference (AABC)
We will be presenting a poster at 24th Annual Advanced Automotive Battery Conference (AABC). Please see below for details of the exhibit.
Conference Information
Date: December 9 – 12, 2024
Location: Mandalay Bay Resort & Casino, Las Vegas, NV
Presentation Information
Title: High-Performance Atomistic Simulation Platform with a Universal Neural Network Model
Abstract:
The state-of-the-art machine learning potential has been developed and applied to a number of battery-related applications. The model’s versatility is demonstrated through three key applications: It reveals the instability of layered LiMnO2 nanostructures at elevated temperatures, attributed to MnO6 to MnO4 transitions. In sodium all-solid-state batteries, Matlantis identifies PS3 species as crucial for interface stabilization between the Na electrode and solid electrolyte. Furthermore, it investigates the impact of nickel content on electrolyte adsorption on LiNixMnyCozO2 cathode surfaces. These studies showcase Matlantis’s capability to provide atomic-level insights into complex materials systems, advancing energy storage research.
Presenter
Taku Watanabe
Taku Watanabe, PhD. is a Principal 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.
For more information about the conference (External Site) -> 24th Annual AABC
