Dr. Ghanshyam Pilania

Profile

Academic position	Lecturer, Assistant Professor, Researcher
Research fields	Materials Engineering,Theoretical Physics
Keywords	Adaptive learning, Statistical learning, Functional materials, Materials informatics, Bandgap prediction

Current contact address

Country	United States of America
City	Los Alamos
Institution	Los Alamos National Laboratory
Institute	Materials Science and Technology Division (MST-7)

Host during sponsorship

Prof. Dr. Matthias Scheffler	Fritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin
Start of initial sponsorship	01/05/2017

Programme(s)

2016	Humboldt Research Fellowship Programme for Postdocs

Publications (partial selection)

2020	Ghanshyam Pilania, Prasanna V Balachandran, James E Gubernatis, Turab Lookman: Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods. Morgan & Claypool Publishers, 2020
2018	ArunMannodi-Kanakkithodi, Anand Chandrasekaran, Chiho Kim, Tran Doan Huan, Ghanshyam Pilania, Venkatesh Botu, Rampi Ramprasad: Scoping the polymer genome: A roadmap for rational polymer dielectrics design and beyond. In: Materials Today, 2018, 785-796
2017	Rampi Ramprasad, Rohit Batra, Ghanshyam Pilania, Arun Mannodi-Kanakkithodi, Chiho Kim: Machine learning in materials informatics: recent applications and prospects. In: NPJ Computational Materials, 2017, 1-13