Chemistry-Informed Machine Learning for Polymer Electrolyte Discovery
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DOI: 10.1021/acscentsci.2c01123
Abstract: Solid polymer electrolytes (SPEs) have the potential to improve lithium-ion batteries by enhancing safety and enabling higher energy densities. However, SPEs suffer from significantly lower ionic conductivity than liquid and solid ceramic electrolytes, limiting their… read more here.
Keywords: chemistry informed; chemistry; model; informed machine ... See more keywords
Guest Editorial: Scientific and Physics-Informed Machine Learning for Industrial Applications
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3215432
Abstract: Deep learning technology has become one of the core driving forces to promote the in-depth development of industrial automation. In [A1], Wang et al. interpreted the decision process of the convolutional neural network (CNN) by… read more here.
Keywords: guest editorial; physics; editorial scientific; informed machine ... See more keywords
Informed machine learning methods for application in engineering: A review
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science"
DOI: 10.1177/09544062231164575
Abstract: Machine Learning (ML) has proved to be successful at identifying and representing underlying relationships in large data sets which would be difficult to process manually. However, the large amounts of data required for unsupervised learning… read more here.
Keywords: machine; application engineering; informed machine; machine learning ... See more keywords