Search

Categories

    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss

Filter By Price

$
-
$

Dietary Needs

Top Rated Product

product-img product-img

Modern Chair

$165.00
product-img product-img

Plastic Chair

$165.00
product-img product-img

Design Rooms

$165.00

Brands

  • Wooden
  • Chair
  • Modern
  • Fabric
  • Shoulder
  • Winter
  • Accessories
  • Dress

Welcome and thank you for visiting us. For any query call us on 0799 626 359 or Email [email protected]

Offcanvas Menu Open

Shopping Cart

Africa largest book store

Sub Total:

Search for any Title

Machine Learning in 2D Materials Science

By: Bharat K. Jasthi (Edited by) , Carol Lushbough (Edited by) , Parvathi Chundi (Edited by) , Venkataramana Gadhamshetty (Edited by)

Manufacture on Demand

Ksh 31,650.00

Format: Hardback or Cased Book

ISBN-10: 0367678209

ISBN-13: 9780367678203

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 13th, 2023

Publication Status: Active

Product extent: 238 Pages

Weight: 620.00 grams

Choose your Location

Shipping & Delivery

Door Delivery

Delivery fee

Delivery in 10 to 14 days

  • Description

  • Reviews

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.

Data science and machine learning (ML) methods are increasingly being used to transform the way research is being conducted in materials science to enable new discoveries and design new materials. For any materials science researcher or student, it may be daunting to figure out if ML techniques are useful for them or, if so, which ones are applicable in their individual contexts, and how to study the effectiveness of these methods systematically.

KEY FEATURES

  • 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
  • Offers introductory material in topics such as ML, data integration, and 2D materials
  • Provides in-depth coverage of current ML methods for validating 2D materials using both experimental and simulation data, researching and discovering new 2D materials, and enhancing ML methods with physical properties of materials
  • Discusses customized ML methods for 2D materials data and applications and high-throughput data acquisition
  • Describes several case studies illustrating how ML approaches are currently leading innovations in the discovery, development, manufacturing, and deployment of 2D materials needed for strengthening industrial products
  • Gives future trends in ML for 2D materials, explainable AI, and dealing with extremely large and small, diverse datasets

Aimed at materials science researchers, this book allows readers to quickly, yet thoroughly, learn the ML and AI concepts needed to ascertain the applicability of ML methods in their research.


Get Machine Learning in 2D Materials Science by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

Customer Reviews

Based on 0 reviews

Mind, Body, & Spirit