Artificial Intelligence for Materials Science

Author:   Yuan Cheng ,  Tian Wang ,  Gang Zhang
Publisher:   Springer Nature Switzerland AG
Edition:   2021 ed.
Volume:   312
ISBN:  

9783030683122


Pages:   228
Publication Date:   29 March 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $475.17 Quantity:  
Add to Cart

Share |

Artificial Intelligence for Materials Science


Add your own review!

Overview

Full Product Details

Author:   Yuan Cheng ,  Tian Wang ,  Gang Zhang
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2021 ed.
Volume:   312
Weight:   0.367kg
ISBN:  

9783030683122


ISBN 10:   3030683125
Pages:   228
Publication Date:   29 March 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Reviews

Author Information

Dr. Yuan Cheng. Before join in Monash Suzhou Research Institute, Dr Yuan Cheng is a Senior Scientist and Group Manager at the Institute of High Performance Computing (IHPC) in Singapore. She graduated from Fudan University, China with a Bachelor degree and got her Ph. D degree from National University of Singapore. Upon completion of her Ph.D. degree, she joined the Institute of High Performance Computing (IHPC) in Singapore. During Feb. till Jun. 2009 she visited Brown University, USA as a visiting scholar. Dr Cheng’s expertise involves investigation of the mechanical properties of biomaterials, the mechanical properties of nanomaterials and the interface between nanomaterials and water & biomaterials, exploring their applications in biomedical engineering. She has published more than 70 journal papers in the leading journals including Prog. Polym. Sci., Physics Reports, Adv. Mater., Adv. Funct. Mater., Nature Comm., etc., with an H-index of 25.Dr. Tian Wang. Dr. Wangreceived the M.S. and Ph.D. degrees from Xi'an Jiaotong University, China, and the University of Technology of Troyes, France, in 2010 and 2014, respectively. He is currently an Associate Professor with the School of Automation of Science and Electrical Engineering, Beihang University. His research interests include artificial intelligence and machine learning. Dr. Gang Zhang. Dr. Zhang received B. Sci and PhD in physics from Tsinghua University in 1998 and 2002, respectively. Prior to his joining Institute of High Performance Computing (IHPC), he was a professor at Department of Electronics, Peking University. His research focuses on electronic, thermal, and optical properties of novel materials and structures in important engineering problems, aims to develop a fundamental understanding of the processes underlying new technologies and to establish simulations tools for material and device design.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List