首页|University of Vienna Researcher Updates Current Study Findings on Machine Learni ng (Density-based long-range electrostatic descriptors for machine learning forc e fields)
University of Vienna Researcher Updates Current Study Findings on Machine Learni ng (Density-based long-range electrostatic descriptors for machine learning forc e fields)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting from the University o f Vienna by NewsRx journalists, research stated, “This study presents along-ran ge descriptor for machine learning force fields that maintains translational and rotational symmetry,similar to short-range descriptors while being able to inc orporate long-range electrostatic interactions. Theproposed descriptor is based on an atomic density representation and is structurally similar to classical short-range atom-centered descriptors, making it straightforward to integrate into machine learning schemes.”
University of ViennaCyborgsEmerging TechnologiesMachine Learning
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