Machine Learning in 2D Materials Science (eBook, PDF)

Redaktion: Chundi, Parvathi; Lushbough, Carol; Jasthi, Bharat K.; Gadhamshetty, Venkataramana

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 248
• Erscheinungstermin: 13. November 2023
• Englisch
• ISBN-13: 9781000987430
• Artikelnr.: 69042067

Autorenporträt

Parvathi Chundi, PhD is Professor of Computer Science, University of Nebraska-Omaha. Prior to Omaha, Dr. Chundi was with Agilent Technologies and HP Labs, both in Palo Alto, CA. Venkataramana Gadhamshetty, PhD, PE is Professor of Environmental Engineering in Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology. He is a cofounder of 2D materials for Biofilm Science Engineering and Technology (2DBEST) center and 2D materials laboratory (2DML) at SDSM&T. Bharat K. Jasthi, PhD is Associate Professor, Department of Materials and Metallurgical Engineering, South Dakota School of Mines and Technology. Dr. Jasthi has research expertise in the areas of microstructural modification, structure property correlation, new alloy development, powder metallurgy, additive manufacturing, and development of engineered surface thin films and coatings for a wide range of applications. Carol Lushbough, MA is an Emeritus Professor of Computer Science, University of South Dakota.

Inhaltsangabe

Chapter 1 Introduction to Machine Learning for Analyzing Material-Microbe Interactions Venkataramana Gadhamshetty
Parvathi Chundi
and Bharat K. Jasthi Chapter 2 Introduction to 2D Materials Roberta Amendola and Amit Acharjee Chapter 3 An Overview of Machine Learning Dilanga Abeyrathna
Mahadevan Subramaniam
and Parvathi Chundi Chapter 4 Discovery of 2D Materials with Machine Learning Md Mahmudul Hasan
Rabbi Sikder
Bharat K. Jasthi
Etienne Z. Gnimpieba
and Venkataramana Gadhamshetty Chapter 5 Bacterial Image Segmentation through Deep Learning Approach Ejan Shakya and Pei-Chi Huang Chapter 6 Self-Supervised Learning-Based Classification of Scanning Electron Microscope Images of Biofilms Md Ashaduzzaman and Mahadevan Subramaniam Chapter 7 Quorum Sensing Mechanisms
Biofilm Growth
and Microbial Corrosion Effects of Bacterial Species Vaibhav Handa
Saurabh Dhiman
Kalimuthu Jawaharraj
Vincent Peta
Alain Bomgni
Etienne Z. Gnimpieba
and Venkataramana Gadhamshetty Chapter 8 Data-Driven 2D Material Discovery Using Biofilm Data and Information Discovery System (Biofilm-DIDS) Tuyen Do
Alain Bomgni
Shiva Aryal
Venkataramana Gadhamshetty
Diing D. M. Agany
Tim Hartman
Bichar D. Shrestha Gurung
Carol M. Lushbough
and Etienne Z. Gnimpieba