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Amartya Banerjee

Amartya Banerjee
Postdoctoral Fellow
Computational Research Division
Mobile: +1-7636567830
Lawrence Berkeley National Laboratory
1 Cyclotron Road
Mailstop 50A-3111
Berkeley, California 94720 US

Amartya Banerjee is currently a Postdoctoral Fellow in the Computational Research Division of the Lawrence Berkeley National Laboratory.

He is interested in the development and usage of mathematical and computational tools for the characterization and informed discovery of novel materials and structures, with a particular focus on first principles (i.e., quantum mechanical) methods. He has been working on extending the scope and capabilities of such methods, for applications to problems in mechanics (such as the modeling of defects), and energy storage / conversion technologies. His other research interests include the analysis and development of multiscale methods, and the usage of symmetry principles in various areas of science and engineering, including problems related to molecular self-assembly, wave-propagation, and the design of computational solvers.

Research Interests

  • First principles (quantum mechanical) methods for the design, discovery and characterization of novel materials and structures. Extending the scope of first principles methods for applications to problems in mechanics (e.g. studies of deformation modes and materials defects).
  • Energy materials -- with emphasis on, lithium ion storage devices and catalytic materials.
  • Usage of symmetry principles in various areas of science and engineering, including:
    • Usage  of  the Objective  Structures  framework for  the  exploration  and  systematic
      study of unprecedented nano-materials, nano-structures and their deformations.
    • Problems related to symmetry mediated self assembly.
    • Wave-propagation problems in novel symmetric structures and composites.
    • Reduction of scientific computation problems / design of computational solvers.
  • Multi-scale methods and algorithms for the study of defects in materials – design, analysis
    and implementation.
  • Numerical analysis and scientific computation (spectral methods, non-linear PDEs, numerical linear algebra, high performance computing, symmetry based solutions of PDEs).


  • Ph.D. in Aerospace Engineering & Mechanics, December 2013.
    University of Minnesota, Minneapolis, USA.
    Advisors: Richard D. James and Ryan S. Elliott.
  • M.S. in Aerospace Engineering & Mechanics, November 2011.
    University of Minnesota, Minneapolis, USA.
  • M.S. in Mathematics, April 2011.
    University of Minnesota, Minneapolis, USA.
  • B.Tech. (Honors) in Aerospace Engineering, August 2007.
    Indian Institute of Technology (IIT), Kharagpur, India.