首页|Studies from N.E. Bauman Moscow State Technical University Further@@Understanding of Machine Learning (Pre-trained Mol2vec Embeddings@@As a Tool for Predicting Po lymer Properties)
Studies from N.E. Bauman Moscow State Technical University Further@@Understanding of Machine Learning (Pre-trained Mol2vec Embeddings@@As a Tool for Predicting Po lymer Properties)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of Moscow, Russia, by NewsRx ed itors, research stated, “Machine learning-assisted prediction ofpolymer propert ies prior to synthesis has the potential to significantly accelerate the discove ry anddevelopment of new polymer materials. To date, several approaches have be en implemented to representthe chemical structure in machine learning models, a mong which Mol2Vec embeddings have attractedconsiderable attention in the chemi nformatics community since their introduction in 2018.”
MoscowRussiaCyborgsEmerging Techno logiesMachine LearningN.E. Bauman Moscow State Technical University
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