Pinku Nath, Ph.D

Assistant Professor (ICReDD), Scientific Software Developer

About


I'm a material scientist and scientific software developer. I develop numerical algorithms and automated scientific software to understand the behavior of materials.   
  • Primary developer of CHEMONTO:  CHEMONTO is a computational methodology based on a chemistry ontology. It automates the processing of reaction setup details and determines reaction pathways. 
  • Primary developer of LiCA: LiCA is a Iithium-ion cluster analysis software mostly written in python. It allows to analysis  dynamics of Li-ions within solid electrolytes.  
  • Primary developer of AQHA : It is a python wrapped C++ based ab-initio High-throughput software.  An objective of developing this code is to accelerate the discovery of ultra-high temperature materials. It will soon be available with a GPL license.
  • A developer of AFLOW  (Automatic FLOW for Materials Discovery) .
  • Primary developer of kMC-Heteroepitaxy code: It is an Open-MPI implemented C-code and allows to study surface morphology of heteroepitaxially grown thin films.
Academic position and background  
  • Specially Appointed Assistant Professor,  ICReDD [2022(8)-current]
  • Research Associate,  Basque Center for Applied Mathematics,  Bilbao, Spain [2022(3)-2022(7)] 
  • Assistant Professor,  Lovely Professional University, Phagwara, Punjab, India [2019-21]
  • Postdoctoral Associate, Pratt School of Engineering,  Duke University,  NC, USA [2014-19]
  • Ph.D, IIT-Kanpur, India  [2006-14], [Thesis]
  • M. Sc, IIT-Guwahati, India  [2004-06]
Workshops: I organize national workshops on computational modeling. Link to one previous workshop can be found here (link). 

Other Research Areas
  • Developing Green's Function based methodologies to study defects and transport properties 
  • Developing efficient methodologies to solve quantum mechanical equations with wavelets      

Publications


Design Principles Guided by DFT Calculations and High-Throughput Frameworks for the Discovery of New Diamond-like Chalcogenide Thermoelectric Materials


Adolfo E. Rosado-Miranda, Victor Posligua, Javier Fdez. Sanz, Antonio M. Márquez, Pinku Nath*, Jose J. Plata*

ACS Applied Materials & Interfaces, vol. 16(22), 2024, pp. 28590-28598


Thermodynamics of Solids Including Anharmonicity Through Quasiparticle Theory


Ernesto J. Blancas, Alvaro Lobato, Fernando Izquierdo-Ruiz, Antonio M. M´arquez, J. Manuel Recio, Pinku Nath, Jos´ e J. Plata, Alberto Otero-de-la-Roza

ChemRxiv, xx(xx), 2024, pp. xx


High-Throughput Prediction of the Thermal and Electronic Transport Properties of Large Physical and Chemical Spaces Accelerated by Machine Learning: Charting the ZT of Binary Skutterudites


Julia Santana-Andreo, Antonio M. Márquez, Jose J. Plata, Ernesto J. Blancas, José-Luis González-Sánchez, Javier Fdez. Sanz, Pinku Nath*

ACS Applied Materials & Interfaces, vol. 16(4), 2024


In silico modelling of inorganic thermoelectric materials,


José J. Plata, Pinku Nath, Javier Fdez Sanz, Antonio M. Marquez

Comprehensive Inorganic Chemistry III, Elsevier, 2022


High-Throughput Screening of the Thermoelastic Properties of Ultrahigh-Temperature Ceramics


Pinku Nath, Jose J. Plata*, Julia Santana-Andreo, Ernesto J. Blancas, Antonio M. Márquez, and, Javier Fernández Sanz

ACS Appl. Mater. Interfaces, vol. 13(25), 2021, pp. 29843–29857


View all

Projects


Ultra High Temperature materials


Designing UHT materials for power plants, turbine engines, and aerospace industries.


Research


Application oriented material discovery


Finite Element Method and continuum elasticity


Multiscale modeling: QM + Continuum Elasticity + Structural Mechanics


Courses


Computational Chemistry

Solving various simple ODEs and, preliminary quantum mechanical problems, and basic statistics.


Introduction to artificial intelligence

Machine learning, Natural Language processing, algorithm design.


Introduction to group theory for chemists

Symmetry elements, operations, and their basic properties, point groups, reducible and irreducible represents, vibrational spectroscopy.


Introduction to Finite Element Method

Classification of differential operators, self-adjoint positive definite operators, weighted residual methods, the Rayleigh–Ritz method, solving ODEs using FEM.

Contact



011-706-9680


ICReDD, Hokkaido University


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