Dr. Projesh Kumar Roy

C O M P U T A T I O N A L   M A T E R I A L   D I S C O V E R Y    L A B O R A T O R Y

https://www.nitt.edu/home/academics/departments/chemistry/Faculty/projesh/me_7.jpg

S U P E R V I S O R

D R.   P R O J E S H    K U M A R    R O Y

Assistant Professor
Room No CH314, OJAS Building
Department of Chemistry
National Institute of Technology Tiruchirappalli
Tiruchirappalli 620015
Email: projesh@nitt.edu
            projesh.roy@gmail.com
 
Google Scholar: https://scholar.google.com/citations?user=QycvRLEAAAAJ&hl=en
 

B I O D A T A

  • Post-Doctoral experience:

    • Indian Institute of Technology, Madras (2022-2024)
      • Guide: Prof. Sanjib Senapati
    • Institute of Mathematical Sciences, Chennai (2020-2022)
      • Guide: Prof. Pinaki Chaudhuri, Prof. Satyavani Vemparala
    • Indian Institute of Science, Bangalore (2019-2020)
      • Guide: Prof. Prabal K Maiti, Prof. K. Ganapathy Ayappa

  • Ph.D. in Computational Chemistry:

    • University of Münster, Germany (2013-2018)
    • Guide: Prof. Andreas Heuer

  • M.Sc. in Chemistry:

    • Indian Institute of Technology, Kanpur (2011-2013)
    • Guide: Prof. Nishant N. Nair

  • B.Sc. (Hons.) in Chemistry:

    • Presidency college, University of Calcutta (2008-2011)

R E S E A R C H    G R A N T S

  • SERB-NPDF fellowship from DST-SERB (2022-2024)
  • Institute Post-Doctoral fellowship (IPDF) from IMSc, Chennai (2020-2022)
  • Industrial Research Associate fellowship at IISc, Bangalore and SHELL India Inc. (2019-2020)
  • International fellowship from NRW Graduate School of Chemistry, University of Münster, Germany. 

R E S E A R C H   I N T E R E S T S

  • Computational Chemistry:

    • Carbon capture using polymeric membranes.

    • Dynamics of ring-polymers.

    • Mechanical properties of Silica.

    • Ionic-liquids.

  • Theoretical Chemistry:

    • Advanced statistical mechanics.

    • Enhanced sampling techniques.

  • Computational Biology:

    • p53 protein family and their role in cancer.

    • Drug-discovery using molecular docking technique.

  • Artificial Intelligence and Machine Learning:

    • Structural and Rheological properties of polymers.

M A J O R   P U B L I C A T I O N S

  1. Modelling the atomic arrangement of amorphous 2D silica: a network analysis; P. K. Roy, M. Heyde and A. Heuer, Phys. Chem. Chem. Phys., 2018, 20(21), 14725, DOI: 10.1039/C8CP01313F
  2. Ring Statistics in 2D-silica: Effective Temperatures in Equilibrium; P. K. Roy and A. Heuer, Phys. Rev. Lett., 2019, 122(1), 016104, DOI: 10.1103/PhysRevLett.122.016104
  3. Investigations on 6FDA/BPDA-DAM polymer melt properties and CO2 adsorption using molecular dynamics simulations; P. K. Roy, K. Kumar, F. M. Thakkar, A. D. Pathak, K. G. Ayappa and P. K. Maiti, J. Mem. Sci., 2020, 631, 118377, DOI: 10.1016/j.memsci.2020.118377
  4. Effect of ring stiffness and ambient pressure on the dynamical slowdown in ring polymers; P. K. Roy, P. Chaudhuri, S. Vemparala, Soft Matter,  2022, 18, 2959-2967, DOI: 10.1039/D1SM01754C
  5. Derivation of a statistical model for classical systems obeying fractional exclusion principle; P. K. Roy, Phys. Rev. E, 2022, 106, 014141, DOI: 10.1103/PhysRevE.106.01414

T E A C H I N G    E X P E R I E N C E

  • Masters Courses

    • CH629 Polymer Chemistry (Semester 4)

R E S E A R C H    G R O U P

  • Masters Students

    • Mr. Anand Venugopal (2023-2025)

O P E N    P O S I T I O N S

Internships/Ph.D./Post.Doc positions are available in my group for students with M.Sc. in Chemistry/Physics (any branch). Computer programming knowledge (any language) is desired but not mandatory. Kindly send your CV to projesh.roy@gmail.com / projesh@nitt.edu