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Reinforcement learning with formation energy feedback for material diffusion models.

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Title: Reinforcement learning with formation energy feedback for material diffusion models.
Authors: Huang J; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China; College of Artificial Intelligence, Jilin University, Changchun, Jilin, 130012, China. Electronic address: huangjiao20@mails.jlu.edu.cn., Xing Q; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China; College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China. Electronic address: qianlixing@jlu.edu.cn., Ji J; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China; College of Artificial Intelligence, Jilin University, Changchun, Jilin, 130012, China. Electronic address: jijl22@mails.jlu.edu.cn., Yang B; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China; College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China. Electronic address: ybo@jlu.edu.cn.
Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 Feb; Vol. 194, pp. 108146. Date of Electronic Publication: 2025 Sep 24.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-2782
DOI:10.1016/j.neunet.2025.108146