Machine Learning and Data Analysis in Soft by George Eckert (.PDF)
File Size: 18.2 MB
Machine Learning and Data Analysis in Soft Matter Physics by George Eckert
Requirements: .PDF reader, 18.2 MB
Overview: Machine Learning and data analysis techniques have found their place in soft matter physics, aiding in the understanding of complex molecular systems, self-assembly, and materials design. These tools facilitate the analysis of large-scale molecular simulations and experimental data, providing insights into the behavior and properties of soft materials. This book examines the application of Machine Learning and data analysis techniques in studying soft matter physics and its complex behavior. Machine Learning (ML) is an umbrella term for solving problems for which development of algorithms by human programmers would be cost-prohibitive, and instead the problems are solved by helping machines ‘discover’ their ‘own’ algorithms, without needing to be explicitly told what to do by any human-developed algorithms.
Genre: Non-Fiction > Tech & Devices
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