Machine Learning For Polymer Informatics

DOWNLOAD

Download Machine Learning For Polymer Informatics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Machine Learning For Polymer Informatics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Machine Learning For Polymer Informatics

DOWNLOAD
Author : Ying Li
language : en
Publisher: American Chemical Society
Release Date : 2024-06-28

Machine Learning For Polymer Informatics written by Ying Li and has been published by American Chemical Society this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Science categories.

Machine learning has significantly accelerated the development of new polymer materials. Machine Learning for Polymer Informatics introduces the reader to the most popular ways of applying machine learning in polymer informatics. This primer will equip the reader to ask the right questions about the application of machine learning in their areas of interest, as well as critically interpret publications leveraging machine learning methods. The authors encourage readers to try machine learning techniques when they have sufficient data in their area of interest. The development of machine learning has far exceeded human imagination, and with sufficient data, everything is full of possibilities.

Physical Properties Of Polymers

DOWNLOAD
Author : James E. Mark
language : en
Publisher:
Release Date : 1993

Physical Properties Of Polymers written by James E. Mark and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Science categories.

Completely revised and updated! Expanded to include the latest developments in these fast-moving areas: rubber elasticity; the glassy state and the glass transition; viscoelasticity and flow in polymer melts and concentrated solutions; the crystalline state; and spectroscopic characterization of polymers. Two new chapters cover the mesomorphic state and scattering techniques. Presents fundamental background information, recent developments and unsolved problems. Provides an introduction to basic concepts and detailed descriptions of current topics of importance. The definitive source of basic information needed by polymer physical chemists, polymer physicists, polymer engineers, and all scientists whose work involves polymers.

Advanced Machine Learning With Evolutionary And Metaheuristic Techniques

DOWNLOAD
Author : Jayaraman Valadi
language : en
Publisher: Springer Nature
Release Date : 2024-04-22

Advanced Machine Learning With Evolutionary And Metaheuristic Techniques written by Jayaraman Valadi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Mathematics categories.

This book delves into practical implementation of evolutionary and metaheuristic algorithms to advance the capacity of machine learning. The readers can gain insight into the capabilities of data-driven evolutionary optimization in materials mechanics, and optimize your learning algorithms for maximum efficiency. Or unlock the strategies behind hyperparameter optimization to enhance your transfer learning algorithms, yielding remarkable outcomes. Or embark on an illuminating journey through evolutionary techniques designed for constructing deep-learning frameworks. The book also introduces an intelligent RPL attack detection system tailored for IoT networks. Explore a promising avenue of optimization by fusing Particle Swarm Optimization with Reinforcement Learning. It uncovers the indispensable role of metaheuristics in supervised machine learning algorithms. Ultimately, this book bridges the realms of evolutionary dynamic optimization andmachine learning, paving the way for pioneering innovations in the field.

Materials Informatics Iii

DOWNLOAD
Author : Kunal Roy
language : en
Publisher: Springer Nature
Release Date : 2025-03-01

Materials Informatics Iii written by Kunal Roy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-01 with Science categories.

This contributed volume focuses on the application of machine learning and cheminformatics in predictive modeling for organic materials, polymers, solvents, and energetic materials. It provides an in-depth look at how machine learning is utilized to predict key properties of polymers, deep eutectic solvents, and ionic liquids, as well as to improve safety and performance in the study of energetic and reactive materials. With chapters covering polymer informatics, quantitative structure–property relationship (QSPR) modeling, and computational approaches, the book serves as a comprehensive resource for researchers applying predictive modeling techniques to advance materials science and improve material safety and performance.

Deep Learning For Polymer Discovery

DOWNLOAD
Author : Gang Liu
language : en
Publisher: Springer Nature
Release Date : 2025-06-24

Deep Learning For Polymer Discovery written by Gang Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.

This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges in polymer science and engineering. With a growing demand for new materials with specific properties, traditional experimental methods for polymer discovery are becoming increasingly time-consuming and costly. Deep learning offers a promising solution by enabling rapid screening of potential polymers and accelerating the design process. The authors begin with essential knowledge on polymer data representations and neural network architectures, then progress to deep learning frameworks for property prediction and inverse polymer design. The book then explores both sequence-based and graph-based approaches, covering various neural network types including LSTMs, GRUs, GCNs, and GINs. Advanced topics include interpretable graph deep learning with environment-based augmentation, semi-supervised techniques for addressing label imbalance, and data-centric transfer learning using diffusion models. The book aims to solve key problems in polymer discovery, including accurate property prediction, efficient design of polymers with desired characteristics, model interpretability, handling imbalanced and limited labeled data, and leveraging unlabeled data to improve prediction accuracy.

Sustainability In Polymer Technology And Plastic Engineering

DOWNLOAD
Author : Tamara Tatrishvili
language : en
Publisher: CRC Press
Release Date : 2025-04-08

Sustainability In Polymer Technology And Plastic Engineering written by Tamara Tatrishvili and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Technology & Engineering categories.

The use of polymer and plastic materials have grown widely in recent years due to their wide ranging applications in both science and engineering. This new volume covers the characterization of modern polymer and plastic materials with functional and sustainable applications in various sectors, providing a comprehensive overview of the engineering properties of polymer composites and plastic materials.

Machine Learning Meets Quantum Physics

DOWNLOAD
Author : Kristof T. Schütt
language : en
Publisher: Springer Nature
Release Date : 2020-06-03

Machine Learning Meets Quantum Physics written by Kristof T. Schütt and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-03 with Science categories.

Designing molecules and materials with desired properties is an important prerequisite for advancing technology in our modern societies. This requires both the ability to calculate accurate microscopic properties, such as energies, forces and electrostatic multipoles of specific configurations, as well as efficient sampling of potential energy surfaces to obtain corresponding macroscopic properties. Tools that can provide this are accurate first-principles calculations rooted in quantum mechanics, and statistical mechanics, respectively. Unfortunately, they come at a high computational cost that prohibits calculations for large systems and long time-scales, thus presenting a severe bottleneck both for searching the vast chemical compound space and the stupendously many dynamical configurations that a molecule can assume. To overcome this challenge, recently there have been increased efforts to accelerate quantum simulations with machine learning (ML). This emerging interdisciplinary community encompasses chemists, material scientists, physicists, mathematicians and computer scientists, joining forces to contribute to the exciting hot topic of progressing machine learning and AI for molecules and materials. The book that has emerged from a series of workshops provides a snapshot of this rapidly developing field. It contains tutorial material explaining the relevant foundations needed in chemistry, physics as well as machine learning to give an easy starting point for interested readers. In addition, a number of research papers defining the current state-of-the-art are included. The book has five parts (Fundamentals, Incorporating Prior Knowledge, Deep Learning of Atomistic Representations, Atomistic Simulations and Discovery and Design), each prefaced by editorial commentary that puts the respective parts into a broader scientific context.

Recent Advances In Smart Self Healing Polymers And Composites

DOWNLOAD
Author : Guoqiang Li
language : en
Publisher: Woodhead Publishing
Release Date : 2022-06-08

Recent Advances In Smart Self Healing Polymers And Composites written by Guoqiang Li and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-08 with Technology & Engineering categories.

There have been many new developments since the first edition of this book was published back in 2015. These can be summarized as follows: integration of multiple properties into self-healing polymer materials, such as the shape memory effect and flame retardancy; beyond self-healing and the development of recyclable thermoset polymers; and the application of self-healing polymers in both 3D and 4D printing. Recent Advances in Smart Self-healing Polymers and Composites, Second Edition provides a comprehensive introduction to the fascinating field of smart self-healing polymers and composites. All chapters are brought fully-up-to-date with the addition of six brand new contributions on the characterization of self-healing polymers, light-triggered self-healing, additive manufacturing, multifunctional thermoset polymers with self-healing ability, and recyclable thermoset polymers and 4D printing. It is written for a large readership including not only R&D researchers from diverse backgrounds such as chemistry, materials science, aerospace, physics, and biological science, but also for graduate student working on self-healing technologies as well as their newly developed applications. - Features new chapters on characterization of self-healing polymers, light-triggered self-healing, additive manufacturing, multifunctional thermoset polymers with self-healing ability, recyclable thermoset polymers and 4D printing - All chapters have been significantly updated from the previous edition - Provides a grounding in all key areas of research to bring people up to speed with the latest developments

Advanced Polymer Structures

DOWNLOAD
Author : Omar Mukbaniani
language : en
Publisher: CRC Press
Release Date : 2023-10-06

Advanced Polymer Structures written by Omar Mukbaniani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-06 with Technology & Engineering categories.

Taking an interdisciplinary approach, this new book considers state-of-the-art developments and research in polymer science, such as advanced polymers, composites and nanocomposites, and the role of polymers in the progress of green chemistry and medicine. Polymers are studied in fields as diverse as polymer science (polymer chemistry and polymer physics), biophysics, biochemistry, and more generally in materials science and engineering. Polymer matrix composites (PMCs) and nanocomposites (PMNCs) are widely used in hightech material structures such as in the automotive, marine, and aerospace industries. Their impact on the physical and mechanical performance is mainly due to their reinforcing agents, fibers (glass, carbon, aramid) or nanofibers (MMT, CNTs, graphene, etc) but also due to a perfect mastery of the matrix/reinforcement interface.

Explainable Ai Xai For Sustainable Development

DOWNLOAD
Author : Lakshmi D
language : en
Publisher: CRC Press
Release Date : 2024-06-26

Explainable Ai Xai For Sustainable Development written by Lakshmi D and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-26 with Technology & Engineering categories.

This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. • Focuses on virtual machine placement and migration techniques for cloud data centres • Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services • Includes application of placement techniques for quality of service, performance, and reliability improvement • Explores data centre resource management, load balancing and orchestration using machine learning techniques • Analyses dynamic and scalable resource scheduling with a focus on resource management The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.