... Machine learning enables polymer cloud-point engineering via inverse design. npj Comput Mater 2019;5(1):1–6. [26] Ramprasad R. Polymer genome: an informatics platform for rational polymer dielectrics design and beyond. In: APS meeting ...

A walk-through guide to existing open-source data mining software is also included in this edition.This book invites readers to explore the many benefits in data mining that decision trees offer:

Building on an introductory discussion of single-polymerstatistical mechanics, the book provides a detailed treatment of analytical and numerical techniques for addressing the conformational properties of polymers subjected to spatially ...

Tools that can provide this are accurate first-principles calculations rooted in quantum mechanics, and statistical mechanics, respectively.

This book provides a first course on deep learning in computational mechanics. The book starts with a short introduction to machine learning’s fundamental concepts before neural networks are explained thoroughly.

The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.

Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on reservoir engineering.

Subjects discussed include: Real, ideal, Gaussian, semirigid, and branched polymer chains Polymer solutions and thermodynamics Static light scattering of a polymer solution Dynamic light scattering and diffusion of polymers Dynamics of ...