Machine Learning for Materials Discovery

Numerical Recipes and Practical Applications

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Éditeur :

Springer

Paru le : 2024-05-06

Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for applications in materials modeling and discovery. The book explains complex mathematical concepts in a luci...
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Éditeur

Collection
n.c

Parution
2024-05-06

Pages
279 pages

EAN papier
9783031446214

N. M. Anoop Krishnan is an Associate Professor in the Department of Civil Engineering, IIT Delhi, with a joint affiliation in the Yardi School of Artificial Intelligence, IIT Delhi. Prior to this, he worked as Lecturer and Postdoctoral Researcher at the University of California, Los Angeles. His primary area of research includes data- and physics-based modeling of materials. He has published more than 100 peer-reviewed publications and won several prestigious awards including the Google research scholar award (2023), W. A. Weyl international glass science award, Young Associate 2022 (Indian Academy of Sciences), Young Engineer Award 2020 (Indian National Academy of Engineering).  Hariprasad Kodamana is an Associate Professor in the Department of Chemical Engineering, IIT Delhi withaffiliation in the Yardi School of Artificial Intelligence, IIT Delhi. Prior to this, he worked as Assistant Professor at IIT Kharagpur, Postdoctoral Researcher and Sessional Instructor at the University of Alberta, Canada, and Process Engineer at GE Energy. His primary area of research includes data-driven modeling and optimization. He serves as Reviewer for various scientific journals and has won several awards including the Young Faculty Incentive Fellowship (IIT Delhi) and the IIT Bombay Institute Award for best Ph.D. thesis.  Ravinder Bhattoo is currently a postdoctoral researcher in the University of Wisconsin-Madison. Prior to this, he completed his Ph.D. in the Department of Civil Engineering, IIT Delhi and undergraduate degree in civil engineering from IIT Roorkee. He works in the area of machine learning applied to glass science to predict the composition–property relationships in glasses. He has won several awards including the prestigious prime minister’s research fellowship (PMRF).

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EAN PDF
9783031446221
Prix
179,34 €
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
15770 Ko
EAN EPUB
9783031446221
Prix
179,34 €
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
53197 Ko

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