(Ilmumisaeg: 24-Oct-2023, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262048132)
This book introduces students and non-specialists to the study of material behaviors at the molecular level and their impact on macroscopic properties-- A student-oriented introduction to understanding mechanisms at the atomistic level c...Loe edasi...
Molecular Dynamics Simulation of Nanocomposites using BIOVIA Materials Studio, Lammps and Gromacs, Second Edition introduces the three major software packages essential for the molecular dynamics simulation of nanocomposites, providing detaile...Loe edasi...
Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for applications in materials modeling and discovery. The...Loe edasi...
N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo
Sari: Machine Intelligence for Materials Science
(Ilmumisaeg: 07-May-2024, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031446214)
Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for applications in materials modeling and discovery. The...Loe edasi...
The book focuses on correlation of mechanical behavior with structural evaluation and the underlying mechanism through molecular dynamics technique using Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) platform. It also gives idea...Loe edasi...
Gears are machine elements used in most engineering applications, mainly in the automotive and aerospace industries. When designing gear drives, the available standardised procedures are usually used for that purpose. However, the available computat...Loe edasi...
This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very li...Loe edasi...
This book provides broad coverage of data science and ML fundamentals to materials science researchers so that they can confidently leverage these techniques in their research projects. ...Loe edasi...
(Ilmumisaeg: 24-Oct-2023, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262048132)
This book introduces students and non-specialists to the study of material behaviors at the molecular level and their impact on macroscopic properties-- A student-oriented introduction to understanding mechanisms at the atomistic level c...Loe edasi...
This book provides readers with a deep understanding of the use of objective algorithms for integration of constitutive relations (CRs) for Hooke-like hypoelasticity based on the use of corotational stress rates. The purpose of objective algorithm...Loe edasi...
The book involves the basic principles, methods, anatomy and other knowledge for modelling and simulation of the musculoskeletal system. In addition, abundant examples are presented in detail to help readers easily learn the principles and methods...Loe edasi...
Computational Modelling of Intelligent Soft Matter: Shape Memory Polymers and Hydrogels covers the multiphysics response of various smart polymer materials, such as temperature-sensitive shape memory polymers and temperature/ chemosensitive hy...Loe edasi...
This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very li...Loe edasi...
The book involves the basic principles, methods, anatomy and other knowledge for modelling and simulation of the musculoskeletal system. In addition, abundant examples are presented in detail to help readers easily learn the principles and methods...Loe edasi...
(Ilmumisaeg: 08-Sep-2021, Hardback, Kirjastus: Royal Society of Chemistry, ISBN-13: 9781788019002)
Computer Simulation of Porous Materials covers the key approaches in the modelling of porous materials, with a focus on how these can be used for structure prediction and to either rationalise or predict a range of properties including sorption, diff...Loe edasi...
Computational Chemistry Methodology in Structural Biology and Materials Sciences provides a selection of new research in theoretical and experimental chemistry, focusing on topics in the materials science and biological activity....Loe edasi...
This book presents research advances in materials behavior using fractal analysis, mathematical modeling and simulation, and other methods. Examined are electrical, mechanical, optical, and magnetic properties; size; morphology; and chemical behav...Loe edasi...
This book provides an overview of the experimental characterization of materials and their numerical modeling, as well as the development of new computational methods for virtual design. Its 17 contributions are divided into four main sections: ex...Loe edasi...
