Himangshu Prabal Goswami

Assistant Professor

MSc (Delhi) PhD (IISc) Post Doctorate (Max Planck Institute, PKS)

Quantum Statistical Mechanics, Multidimensional Spectroscopy, Machine Learning

Department of Chemistry
Gauhati University, Guwahati, 781014
Email: hpg[at]gauhati[dot]ac[dot]in

QuAInT: Quantum statistics, Artificial Intelligence and nonequilibrium Thermodynamics

 

We are a new group working on developing a theoretical perspective in the broad area of nonequilibrium quantum systems. We focus mainly on  the thermodynamics, transport, optical and spectroscopic properties using many body quantum theory within a nonequilibrium quantum statistical framework. We are right now actively focusing on using artificially intelligent numerical algorithms (machine learning) to establish/identify/develop mappings between analytical theories of quantronics (as well as spectroscopy) and numerically computed data.  The following are the current systems of interests:

  • Single Molecule Junctions
  • Quantum Heat Engines
  • Rydberg Aggregates
  • Small Solvated Organic molecules

Interested graduates and undergraduates (from any science background) who are enthusiastic to pursue research or are interested in data science/IT skills can get in touch by mailing their CV at hpg@gauhati.ac.in.

Ph. D Candidates:

Quantum Thermodynamics and Machine Learning  

Manash                                         Bitap                           Javed

  • Manash Jyoti Sarmah is working on "Quantum Thermodynamics and Machine Learning". He is an  M.Sc from Gauhati University. He joined in 2020.

  • Bitap Raj Thakuria is an M.Sc from  Tezpur University (2019). He joined in 2021. He is also under the supervision of Dr. Bedanta Gogoi.
  • Javed Akhtar is an M.Sc from  Gauhati University. He joined in 2021.

 

M.Sc Dissertations:

 

11. Saurav Saha, 2022-

 

10. Sonali Brahma, 2022-

 

9. Ayesha Touhid, 2022-

 

8. Bristi Maina Deka Application of Machine Learning in catalytic Assymetric Hydrogenation of Alkene and Imine, 2021. (Currently: Ph.D Scholar, IIT Guwahati, Assam through NET/GATE)

 

7. Deepsikha Kalita, Efficiency prediction of Organic Photovoltaic Cells using Machine learning, 2021.

 

6. Javed Akhtar, Engineering band gaps using machine Learning, 2021

 

5. Pubali Neog, An alternative approach for crystal symmetry determination: EBSD coupled with Machine Learning, 2021

 

4. Samim Ahmed, Deep Learning approach to denoise Photo Electron Spectra obtained from Fluctuating Pulses, 2020 (Current Status: Teacher, Junior College, Barpeta, Assam)

 

3. Kaushik Das, Artificial Neural Networks in Conical Intersection Dynamics, 2020.

 

2. Nishanta Barman, Machine Learning Approaches in Near Field Spectroscopy of Molecular Aggregates,  2020 (Current Status: Ph. D scholar, IIT Guwahati, Assam through NET/GATE).

 

1. Raju Chouhan, Apodization Functions in Spontaneous Light Emission Spectroscopy, 2019, Tezpur University (Current Status: Ph.D Scholar, Tezpur University, Assam through TUEE)

 

 

Collaborators:

  • Dr. Sajal Kumar Giri, Northwestern University, Illinois, USA
  • Dr. Nilamoni Nath, Gauhati University.
  • "Optimization of quantum heat engine prototypes for experimental prognosis using artificial neural networks",  SERB-DST Start-up Research Grant, Dec 2021 - Dec 2023
  • "Nonequilibrium Quantum Thermodynamics of Driven Single Molecule Junctions",  BSR-UGC Startup Grant, Dec 2021- Dec 2023

 

  • Nonequilibrium fluctuations of boson transport through squeezed reservoirs, M.J. Sarmah, A. Bansal and H.P. Goswami, (submitted, 2022, https://arxiv.org/abs/2206.07606 )
  • "Controlling thermodynamics of a quantum heat engine with modulated amplitude drivings", S. K. Giri and  H.P. Goswami (submitted, 2022, https://arxiv.org/abs/2203.15005)
  • "Solvent Induced 1H NMR chemical shifts of annulenes", S. Goyari, M.J. Sarmah, H.P. Goswami and N. Nath (submitted, 2021)

  • "Two Dimensional Spectroscopy of Rydberg gases", K. Mukherjee, H.P. Goswami, S. Whitlock, S. Wuester and A. Eisfeld, New. J. Phys, 22, 073040 (2020)

  • "Nonequilibrium fluctuations of a driven quantum heat engine via machine learning", S. K. Giri and H.P. Goswami, Phys. Rev. E, 99, 022104 (2019)

 

For a full list, please visit:

# Google Scholar: https://scholar.google.co.in/citations?user=jYQaWvwAAAAJ&hl=en&oi=ao

# Researchgate: https://www.researchgate.net/profile/Himangshu_Goswami

 

  • Quantum and Computational Chemistry (CH403 Spl, M.Sc Semester IV)

  • Quantum Chemistry (CH104, M.Sc Semester I)
  • Computational Methods (Ph.D Semester I)
  • Spectroscopy 1 and 2 (CH105: M.Sc Semester I, CH204: M.Sc Semester II)
  • Physical Chemistry (CH103, M.Sc Semester I, Sampling and Data Analysis)
  • Modern Methods of Analysis (CH302, M.Sc semester III)
  • Laboratory Course (CH305, Physical Chemistry, Semester III)
  • Solid State and Materials Chemistry (CH302, a part of CH101)
  • Electroanalytical Methods (Paper 6.1e, PGDAC Semester II)
  • Modern Analytical Methods (PGDAC, Semester I)

At Tezpur University

  • Quantum Chemistry (Integrated B.Sc-M.Sc, Semester V)

  • Physical Chemistry of Surfaces and Condensed Systems (M.Sc, Semester III)

  • Numerical Methods and Computational Chemistry (Int. M.Sc, Semester X)

  • Electrochemistry and Chemical Dynamics (M.Sc, Semester II)

  • Basic Computer Applications (Int. B.Sc-B.Ed, Semester I)

  • General Chemistry (B.Tech, Semester I)

  • Chemistry Laboratory (Int. M.Sc and B.Tech, Semester I)

  • Research Methodology (Ph.D, Semester I)

 

  • New work on Quantum Squeezing: https://arxiv.org/pdf/2206.07606.pdf
  • Check out our recent work on Quantum Heat Engines: https://arxiv.org/pdf/2203.15005.pdf
  • The QuAInT researchers congratulate Saurav Saha on securing a CSIR-JRF position in 2022.
  • The QuAInT researchers congratulate Brishti Maina Deka on clearing the NET examination, 2022.
  • We welcome the new M.Sc project students, Sonali, Ayesha and Saurav to the "QuAInT" et al  in 2022.
  • We welcome Bitap and Javed to  "QuAInT" et al in 2021.
  • The QuAInT researchers congratulate Nishanta on clearing the NET examination.

About QuAInT  PI:

Academics:

  • Assistant Professor, GU, 2019-

  • Worked as Assistant Professor (Temporary), Department of Chemical Sciences, Tezpur University, Aug 2018 - Dec 2019.

  • Appointed as Guest Scientist, Max Planck Institute for the Physics of Complex Systems, Dresden, Germany, Mar 2017-Aug 2018.

  • Guest Scientist Fellowship from Max Planck Institute, 2017
  • DST INSPIRE Faculty Award, 2017

  • Awarded Research Associate Fellowship, Indian Institute of Science, Aug 2016-Mar 2021

  • Awarded Senior Research Fellowship,  2013

  • Awarded Junior Research Fellowship, 2011

  • Qualified Graduate Aptitude Test in Engg.  2011

Administration:

  • Member, 2021 NAAC Task Force Committee, IQAC, GU.
  • Member, 2020 DQAC, GU

Facilities & Resources

Facilities
Resources
Some Important Links (Outside GU)