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Faculty Dr Arghya Dutta

Dr Arghya Dutta

Assistant Professor

Department of Physics

Contact Details

arghya.d@srmap.edu.in

Office Location

School of Engineering and Sciences Physics Faculty Dr Arghya Dutta

Faculty Information

Education

2015
PhD
S N Bose National Centre for Basic Sciences, University of Calcutta
2009
MSc
S N Bose National Centre for Basic Sciences, West Bengal University of Technology
2007
BSc
University of Calcutta

Personal Website

Experience

  • 2024 – Till Date | Assistant professor, Department of Physics, SRM University AP, Amaravati, India
  • 2021–2024 | Postdoctoral fellow, Institute of Biochemistry II, Goethe University, Frankfurt, Germany
  • 2018–2021 | Postdoctoral fellow, Max Planck Institute for Polymer Research, Mainz, Germany
  • 2017–2018 | Postdoctoral fellow, Leibniz Institute for Polymer Research, Dresden, Germany
  • 2016–2017 | Postdoctoral fellow, Institute Charles Sadron, CNRS, Strasbourg, France
  • 2014–2016 | Postdoctoral fellow, Institute of Mathematical Sciences, Chennai, India

Research Interest

  • In my research I use mathematical and computational tools to design a variety of materials—particularly functional biomaterials. The main tools I employ are data-driven machine learning methods, statistical mechanics, simulations, and rational design. I am especially interested in utilizing data-driven machine learning methods because they enable efficient exploration of the chemical space and offer insight by identifying expressive descriptors.

Awards

  • 2013 Travel Grant from International Centre for Theoretical Physics, Italy
  • 2009 NET fellowship from CSIR, India

Memberships

Publications

Patents

Projects

Scholars

Interests

  • (Bio)-Material design
  • Machine Learning
  • Quantum dynamics
  • Statistical physics

Thought Leaderships

There are no Thought Leaderships associated with this faculty.

Top Achievements

Research Area

Computational Materials and Soft Matter Physics

Group Members

Research Topics

  • Theory of Catalysis: Quantum mechanics and Machine Learning
  • Statistical physics of fracture of disordered materials; Complex systems: socio & econophysics
  • Soft matter and biophysics, rare event sampling
  • Topological quantum materials, transport/ optical properties of 2D materials
  • Machine learning-assisted discovery of materials with targeted properties
  • Quantum transport in magnetic materials for spintronics applications
  • Materials modelling using ab initio calculations
  • Chaos
  • Classical Speed Limits
  • Dynamic Self-Assembly
  • Data-driven in-silico biomolecule design
  • Quantum and classical dynamical systems

Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Recent Updates

No recent updates found.

Education
2007
BSc
University of Calcutta
2009
MSc
S N Bose National Centre for Basic Sciences, West Bengal University of Technology
2015
PhD
S N Bose National Centre for Basic Sciences, University of Calcutta
Experience
  • 2024 – Till Date | Assistant professor, Department of Physics, SRM University AP, Amaravati, India
  • 2021–2024 | Postdoctoral fellow, Institute of Biochemistry II, Goethe University, Frankfurt, Germany
  • 2018–2021 | Postdoctoral fellow, Max Planck Institute for Polymer Research, Mainz, Germany
  • 2017–2018 | Postdoctoral fellow, Leibniz Institute for Polymer Research, Dresden, Germany
  • 2016–2017 | Postdoctoral fellow, Institute Charles Sadron, CNRS, Strasbourg, France
  • 2014–2016 | Postdoctoral fellow, Institute of Mathematical Sciences, Chennai, India
Research Interests
  • In my research I use mathematical and computational tools to design a variety of materials—particularly functional biomaterials. The main tools I employ are data-driven machine learning methods, statistical mechanics, simulations, and rational design. I am especially interested in utilizing data-driven machine learning methods because they enable efficient exploration of the chemical space and offer insight by identifying expressive descriptors.
Awards & Fellowships
  • 2013 Travel Grant from International Centre for Theoretical Physics, Italy
  • 2009 NET fellowship from CSIR, India
Memberships
Publications
Contact Details

arghya.d@srmap.edu.in

Scholars
Interests

  • (Bio)-Material design
  • Machine Learning
  • Quantum dynamics
  • Statistical physics

Education
2007
BSc
University of Calcutta
2009
MSc
S N Bose National Centre for Basic Sciences, West Bengal University of Technology
2015
PhD
S N Bose National Centre for Basic Sciences, University of Calcutta
Experience
  • 2024 – Till Date | Assistant professor, Department of Physics, SRM University AP, Amaravati, India
  • 2021–2024 | Postdoctoral fellow, Institute of Biochemistry II, Goethe University, Frankfurt, Germany
  • 2018–2021 | Postdoctoral fellow, Max Planck Institute for Polymer Research, Mainz, Germany
  • 2017–2018 | Postdoctoral fellow, Leibniz Institute for Polymer Research, Dresden, Germany
  • 2016–2017 | Postdoctoral fellow, Institute Charles Sadron, CNRS, Strasbourg, France
  • 2014–2016 | Postdoctoral fellow, Institute of Mathematical Sciences, Chennai, India
Research Interests
  • In my research I use mathematical and computational tools to design a variety of materials—particularly functional biomaterials. The main tools I employ are data-driven machine learning methods, statistical mechanics, simulations, and rational design. I am especially interested in utilizing data-driven machine learning methods because they enable efficient exploration of the chemical space and offer insight by identifying expressive descriptors.
Awards & Fellowships
  • 2013 Travel Grant from International Centre for Theoretical Physics, Italy
  • 2009 NET fellowship from CSIR, India
Memberships
Publications
Contact Details

arghya.d@srmap.edu.in

Scholars