Evaluating large language models for inverse semiconductor design

Digital Discovery 2026 Open access

Read full text
Authors: Muhammed Nur Talha Kilic, Daniel Wines, Kamal Kumar Choudhary, Vishu Gupta, Youjia Li, Sayak Chakrabarty, Wei‐keng Liao, Choudhary Alok, Ankit Agrawal
DOI: 10.1039/d5dd00544b
Cited by: 0
References: 60

Abstract

Large Language Models (LLMs) can enable inverse materials discovery by generating text-encoded crystal structures from target properties.

Fields of Study & Subjects

Machine Learning in Materials Science Computational Drug Discovery Methods Artificial Intelligence Applications

Publication details

Journal / source
Digital Discovery
Volume
5
Issue
2
Pages
780–792
Publication date
1 January 2026
Language
EN