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Experimental and Computational Advances in Materials / edited by Lalita Ledwani, Saurabh Srivastava.

Springer Nature - Springer Physics and Astronomy eBooks 2026 English International Available online

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Format:
Book
Author/Creator:
Ledwani, Lalita.
Contributor:
Ledwani
Series:
Engineering Materials, 1868-1212
Language:
English
Subjects (All):
Condensed matter.
Machine learning.
Computer simulation.
Composite materials.
Mathematical physics.
Materials.
Catalysis.
Force and energy.
Condensed Matter Physics.
Machine Learning.
Computer Modelling.
Composites.
Computational Physics and Simulations.
Materials for Energy and Catalysis.
Local Subjects:
Condensed Matter Physics.
Machine Learning.
Computer Modelling.
Composites.
Computational Physics and Simulations.
Materials for Energy and Catalysis.
Physical Description:
1 online resource (711 pages)
Edition:
1st ed. 2026.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
Summary:
This book highlights recent advances in the field of Materials and related computational techniques used to explore various type of materials. Since the field of materials is an interdisciplinary field where researchers from all domains of sciences such as Physical Sciences, Chemical Sciences, Biological Sciences, and Mathematical and Computer Sciences work toward the development of novel materials, the book provides a platform for comprehensive discussions and methods to explore materials development and the properties of novel and existing materials. This book also includes the research work in computational techniques developed by mathematical and machine learning models to understand and design various devices and their applications and properties as an integral part of materials science.
Contents:
Novel Molecules and Materials for drug discovery
Emerging 2D and 3D materials for nano electronics nano devices semiconductors
Composite Materials
Multifunctional nanomaterials
Sensors and actuators
Energy storage materials.
ISBN:
981-9541-80-8
9789819541805

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