LLMs and MI Bring Innovation to Material Development Platforms

/in /by

Publication Date: 7/3/2024

Event: NEC Technical Journal, Special Issue on Revolutionizing Business Practices with Generative AI

Reference: 17(2):46-50, 2024

Authors: Kiichi Obuchi, NEC Corporation; Koichi Funaya, NEC Laboratories Europe; Kiyohiko Toyama, NEC Corporation; Shukichi Tanaka, NEC Corporation; Daniel Onoro Rubio, NEC Laboratories Europe; Martin Renqiang Min, NEC Laboratories America, Inc.; Iain Melvin, NEC Laboratories America, Inc.

Abstract: In this paper, we introduce efforts to apply large language models (LLMs) to the field of material development. NEC is advancing the development of a material development platform. By applying core technologies corresponding to two material development steps, namely investigation activities (Read paper/patent) and experimental planning (Design Experiment Plan), the platform organizes documents such as papers and reports as well as data such as experimental results and then presents in an interactive way to users. In addition, with techniquesthat reflect physical and chemical principles into machine learning models, AI can learn even with limited data and accurately predict material properties. Through this platform, we aim to achieve the seamless integration of materials informatics (MI) with a vast body of industry literature and knowledge, thereby bringing innovation to the material development process.

Publication Link: https://www.nec.com/en/global/techrep/journal/g23/n02/230210.html