I started off as an experimental researcher working on low-temperature deformation behaviour of materials and later got trained in the range of theoretical as well as simulation tools applicable to Materials Science and Engineering. We employ a hybrid experimental-simulation methodology to develop the understanding of structure-property correlation in materials with an aim to develop design rules for the development of newer materials for a sustainable future.
In addition to the above, I am interested in Archaeometallurgy as well. We employ a range of characterisation tools to study the archaeometallurgical objects in our group to deduce the structure-property-processing relations for these objects.
- Postdoctoral research, Warwick Centre for Predictive Modelling, University of Warwick, UK, 2018-19.
- PhD, University of Sheffield, UK, 2015-18
- M.Sc. (Materials Science and Engineering), University of Sheffield, UK, 2014
- B. E. (Metallurgy and Materials Engineering), IIEST-Shibpur, 2011
A combined experimental-theoretical-simulation scheme is employed to develop a multiscale understanding of the structure-property correlation in materials. We employ a range of simulation schemes such as Density Functional Theory, Molecular Dynamics, Tight-Binding and mesoscale schemes in conjugation with machine learning algorithms.
The ongoing research is broadly classified into the following domains:
- High-Entropy Materials
- Equilibrium and Non-Equilibrium Thermodynamics
- Machine learning in Materials Science
- Design of Sustainable Materials
- Integrated Computational Materials Engineering (ICME)
G. Anand, GAASP: Genetic Algorithm-Based Atomistic Sampling Protocol for High-Entropy Materials, Materials and Manufacturing Processes, 2023
G. Anand, Swarnava Ghosh, Markus Eisenbach, Order Parameter Engineering for Random Systems, 1-14, High Entropy Alloys and Materials, 2023
G Anand, Swarnava Ghosh, Liwei Zhang, Angesh Anupam, Colin L Freeman, Christoph Ortner, Markus Eisenbach, James R Kermode, Exploiting Machine Learning in Multiscale Modelling of Materials, 1-11, Journal of The Institution of Engineers (India): Series D, 2022
Liwei Zhang, Berk Onat, Geneviève Dusson, Gautam Anand, Reinhard J Maurer, Christoph Ortner, James R Kermode, Equivariant analytical mapping of first principles Hamiltonians to accurate and transferable materials models, 8, NPJ Computational Materials, 2022
G. Anand, M. Eisenbach, R. Goodall, Colin L. Freeman, Electron spin mediated distortion in metallic systems, 185, Page(159-164), Scripta Materialia, 2020
Soham Chattopadhyay, G. Anand, Sandip Ghosh Chowdhury, Indranil Manna, Effect of reverse austenitic transformation on mechanical property and associated texture evolution in AISI 316 austenitic stainless steel processed by low temperature rolling and annealing, 734, 139-148, Materials Science and Engineering A, 2018
G. Anand, Alex P. Wynn, Christopher M. Handley, Colin L. Freeman, Phase Stability and Distortion in High-Entropy Oxides, 146, 119-125, Acta Materialia 03/2018, 2018
G. Anand, Russell Goodall, Colin L. Freeman, Role of configurational entropy in body-centred cubic or face-centred cubic phase formation in high entropy alloys, 124, 90-94, Scripta Materialia 07/2016, 2016
G. Anand, K. Barai, R. Madhavan, P.P. Chattopadhyay, Evolution of Annealing Texture in Cryo-Rolled Copper, 638, 114-120, Materials Science and Engineering A, 2015
G. Anand, P. Dey, P.J. J. Kok, D. Chakraborty, P. P. Chattopadhyay, Architectured Microstructure in Steel, 30(9), 1086-1093, Materials Science and Technology 03/2014, 2014