BOOK
“Education is like the Datta Pyramid, where the study of diverse subjects converges at its apex.” – Dibakar Datta
Dibakar Datta is currently working on several books (overview below). Stay tuned for exciting updates!
** UPCOMING BOOK: Agreement Signed with Publishers – Writing in Progress
AI in Electro-Chemo-Mechanics: Fundamentals and Applications
Publisher – Springer Nature ; Book Trailer : CLICK HERE
Book Website : CLICK HERE
Generative AI in Energy Storage : Revolutionizing Materials Design through Electro-Chemo-Mechanical Modeling
Publisher – Wiley; Book Trailer : CLICK HERE
Book Website : CLICK HERE
Generative AI in Mechanics and Materials Science: Fundamentals and Applications
Publisher – TMS Springer ; Book Trailer : CLICK HERE
Book Website : CLICK HERE
*** Philosophical Book ***
Albert Einstein said – ‘Everything is Connected’. This book will explore the profound interconnection between various academic disciplines. Education can be likened to a pyramid (Datta Pyramid), where the study of diverse subjects converges at its apex. Dibakar Datta believes that the more we delve into different fields, the more these disciplines intersect and enrich one another.
Notably, renowned polymaths like Leonardo da Vinci, Gottfried Wilhelm Leibniz made groundbreaking contributions in multiple fields, including Medical Sciences, Engineering, Natural Sciences, Music, Arts.
This book will elucidate the philosophical connections that bind various subjects, fostering a deeper appreciation for the interdisciplinary nature of knowledge.
** PUBLISHED BOOK **
Molecular Simulations Methods in Mechanics and Physics
The book provides some important problems and solutions in Monte Carlo Methods (MC), Kinetic Monte Carlo Methods (KMC) and Molecular Dynamics (MD). Matlab and LAMMPS codes are also provided.
Publisher : LAP LAMBERT Academic Publishing (2014)
Available in More Books : CLICK HERE to access the book
** EDITED BOOK **
Synthesis, Modeling and Characterization of 2D Materials and their Heterostructures (Micro and Nano Technologies)
The book provides a detailed discussion on the multiscale computational approach surrounding atomic, molecular, and atomic-informed continuum models, and optimal experimental design.
Publisher : Elsevier (2020)
Available in Amazon : CLICK HERE
Available in Science Direct : CLICK HERE
Some chapters in this book contributed by Dibakar Datta and/or his group members (*)
E.H.Yang, D. Datta, G. Hader, J. Ding, Introduction to 2D materials and their heterostructure, Pages 3-6, 2020
D. Er, K. Ghatak*, Atomistic modeling by density functional theory of two-dimensional materials, Pages 113-123, 2020
S. Basu, V. Sharma*, Monte Carlo method in two-dimensional materials, Pages 149-163, 2020
V. Sharma*, K. Ghatak*, D. Datta, Two-dimensional materials and its heterostructures for energy storage, Pages 385-401, 2020
S. Das, H. Pegu, K.K. Sahu, A. K. Nayak, S. Ramakrishna, D. Datta, S. Swayamjyoti, Machine learning in materials modeling – fundamentals and the opportunities in 2D materials, Pages 445-468, 2020
** Other books
