首页|Nanjing University of Information Science and Technology (NUIST) Reports Finding s in Machine Learning (Descriptor Design for Perovskite Material with Compatible Molecules via Language Model and First-Principles)

Nanjing University of Information Science and Technology (NUIST) Reports Finding s in Machine Learning (Descriptor Design for Perovskite Material with Compatible Molecules via Language Model and First-Principles)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Nanjing, People’s Republ ic of China, by NewsRx journalists, research stated, “Directlyapplying big lang uage models for material and molecular design is not straightforward, particular lyfor real-scenario cases, where experimental validation accuracy is required. In this study, we propose amultimode descriptor design method for materials pre diction and analysis, leveraging the advantages ofthe natural language processi ng literature model and density functional theory (DFT) calculations withthe as sistance of the genetic algorithm (GA).”

NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.2)