首页|Friedrich-Schiller-University Jena Reports Findings in Machine Learning (Machine -learning to predict anharmonic frequencies: a study of models and transferability)
Friedrich-Schiller-University Jena Reports Findings in Machine Learning (Machine -learning to predict anharmonic frequencies: a study of models and transferability)
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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 the subject of a report. According to news reporting originating in Jena, Germany, by NewsRx journalists, research stated, “With more and more accurate electronic structure methods at hand, the inclusion of anharmonic effects in the post-proc essing of such data towards thermochemical properties is the next step. In this context, the description of anharmonicity has been an important topic of physica l chemistry and chemical physics for a long time.” Funders for this research include TURBOMOLE, Carl-Zeiss-Stiftung.
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