Lei Zhang1,2,*, Hangyuan Deng1,2
CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1-11, 2025, DOI:10.32604/cmc.2025.062666
- 26 March 2025
Abstract NJmat is a user-friendly, data-driven machine learning interface designed for materials design and analysis. The platform integrates advanced computational techniques, including natural language processing (NLP), large language models (LLM), machine learning potentials (MLP), and graph neural networks (GNN), to facilitate materials discovery. The platform has been applied in diverse materials research areas, including perovskite surface design, catalyst discovery, battery materials screening, structural alloy design, and molecular informatics. By automating feature selection, predictive modeling, and result interpretation, NJmat accelerates the development of high-performance materials across energy storage, conversion, and structural applications. Additionally, NJmat serves as an… More >
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