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Machine Learning for Advanced Functional Materials 1st Edition by Nirav Joshi, Vinod Kushvaha, Priyanka Madhushri ISBN 9789819903924 9819903920

Name: Machine Learning for Advanced Functional Materials 1st Edition by Nirav Joshi, Vinod Kushvaha, Priyanka Madhushri ISBN 9789819903924 9819903920
SKU: EB-50261520
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Machine Learning for Advanced Functional Materials Nirav Joshi Digital Instant Download

Author(s): Nirav Joshi, Vinod Kushvaha, Priyanka Madhushri, (eds.)

ISBN(s): 9789819903924, 9819903920

Edition: 1st ed. 2023

File Details: PDF, 10.25 MB

Year: 2023

Language: English

SKU: EB-50261520 Category: Computers - Artificial Intelligence (AI) Tags: (eds.), Nirav Joshi, Priyanka Madhushri, Vinod Kushvaha

Description

Machine Learning for Advanced Functional Materials 1st Edition by Nirav Joshi, Vinod Kushvaha, Priyanka Madhushri – Ebook PDF Instant Download/Delivery: 9789819903924 ,9819903920
Full download Machine Learning for Advanced Functional Materials 1st Edition after payment

Product details:
ISBN 10: 9819903920
ISBN 13: 9789819903924
Author: Nirav Joshi, Vinod Kushvaha, Priyanka Madhushri

This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material’s electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods.

Machine Learning for Advanced Functional Materials 1st Edition Table of contents:

Solar Cells and Relevant Machine Learning
Machine Learning-Driven Gas Identification in Gas Sensors
A Machine Learning Approach in Wearable Technologies
Potential of Machine Learning Algorithms in Material Science: Predictions in Design, Properties, and Applications of Novel Functional Materials
The Application of Novel Functional Materials to Machine Learning
Recent Advances in Machine Learning for Electrochemical, Optical, and Gas Sensors
Perovskite-Based Materials for Photovoltaic Applications: A Machine Learning Approach
A Review of the High-Performance Gas Sensors Using Machine Learning
Machine Learning for Next‐Generation Functional Materials
Contemplation of Photocatalysis Through Machine Learning
Discovery of Novel Photocatalysts Using Machine Learning Approach
Machine Learning in Impedance-Based Sensors
Machine Learning in Wearable Healthcare Devices

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Tags: Nirav Joshi, Vinod Kushvaha, Priyanka Madhushri, Machine Learning, Functional Materials