首页|University of Shanghai for Science and Technology Reports Findings in Machine Le arning (Carbon-based molecular properties efficiently predicted by deep learning -based quantum chemical simulation with large language models)
University of Shanghai for Science and Technology Reports Findings in Machine Le arning (Carbon-based molecular properties efficiently predicted by deep learning -based quantum chemical simulation with large language models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “The prediction of thermod ynamic properties of carbon-based molecules based on their geometrical conformat ion using fluctuation and density functional theories has achieved great success in the field of energy chemistry, while the excessive computational cost provid es both opportunities and challenges for the integration of machine learning. In this work, a deep learning-based quantum chemical prediction model was construc ted for efficient prediction of thermodynamic properties of carbon-based molecul es.”
ShanghaiPeople’s Republic of ChinaAs iaChemistryCyborgsEmerging TechnologiesMachine Learning
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