Contact Details:
Somnath Bhowmick
Address: Faculty Building- 410, IIT Kanpur, Kanpur-208016.
Phone: 0512-259-7161
Email: bsomnath[at]iitk[dot]ac[dot]in
Affiliation: Department of Materials Science and Engineering and ICME national hub
Research Interests
Data science, AI-ML, Ab initio and atomistic calculations, Multi-scale modeling, Integrated computational materials engineering (ICME)
Publication List:
Selected recent publications: AI-ML
Deep learning-driven prediction of microstructure evolution via latent space interpolation, S Gaikwad, T Kasilingam, O Ahmad, R Mukherjee, S Bhowmick, arXiv preprint arXiv:2508.01822 (2025).
Scope of Generative Artificial Intelligence in Microstructural Studies: a Case Study, O Ahmad, V Panwar, K Das, R Mukherjee, S Bhowmick, Physica Scripta 100, 076020 (2025).
A Robust Method of Denoising Experimental Micrographs Using Deep Learning, O Ahmad, A Linda, S Jha, S Bhowmick, Materials Characterization 223, 114963 (2025).
Accelerating the prediction of stacking fault energy by combining ab initio calculations and machine learning, A Linda, M F Akhtar, S Pathak, S Bhowmick, Phys. Rev. B 109, 214102 (2024).
Accelerating microstructure modelling via machine learning: A new method combining Autoencoder and ConvLSTM, O Ahmad, N Kumar, R Mukherjee, S Bhowmick, Phys. Rev. Materials 7, 083802 (2023).
Selected recent publications: 2D materials
High-Throughput Screening of 2D Photocatalyst Heterostructures with Suppressed Electron-Hole Recombination for Solar Water Splitting, S Yadav, J Modi, R Ahammed, B Bhadoria, Y Chauhan, A Agarwal, S Bhowmick, arXiv preprint arXiv:2508.17483 (2025).
Harnessing Gaussian-like transfer characteristics for ultraefficient computation in monolayer two-dimensional devices, A Naseer, K Nandan, M Rafiq, A Agarwal, S Bhowmick, YS Chauhan, Physical Review Applied 23, 044026 (2025).
Transistors based on Novel 2D Monolayer Bi2O2Se, InSe, & MoSi2N4 for Enhanced Logic Density Scaling, K Nandan, A Naseer, A Agarwal, S Bhowmick, YS Chauhan, IEEE Transactions on Electron Devices 72, 516 (2025).
Room Temperature Ferroelectricity and Electrically Tunable Berry Curvature Dipole in III-V Monolayers, A Naseer, A Priydarshi, P Ghosh, R Ahammed, Y Chauhan, S Bhowmick, and A Agarwal, Nanoscale 16, 12107-12117 (2024).
Room Temperature Ferroelectricity, Ferromagnetism & Anomalous Hall Effect in Monolayer CrTe, I Ahamed, A Chakraborty, P Yadav, R Dey, Y Chauhan, S Bhowmick, A Agarwal, ACS Appl. Electronic Materials 6,3810(2024).
Selected recent publications: multiscale and atomicistic calculation
Effect of Cr Segregation on Grain Growth in Nanocrystalline α-Fe Alloy: A Multiscale Modelling Approach, S Guin, A Linda, S Bhowmick, R Mukherjee, Computational Materials Science 247, 113509 (2025).
Role of phase fraction on deformation behavior & tensile properties of dual-phase polycrystalline Fe-Ni alloy: A molecular dynamics study, S Sahni, S Bhowmick, A Upadhyaya, Materials Chemistry & Physics 322, 129538 (2024).
Molecular Dynamics Simulations of Solid-State Sintering in Fe35Ni Alloy: Understanding the Process at the Atomic Scale, S Sahni, S Bhowmick, A Upadhyaya, Journal of Materials Science 59, 2954-2973 (2024).
Understanding Deformation Behaviour in Sintered Fe36Ni alloy through Nanoindentation Experiments and Molecular Dynamics Simulation, S Sahni, S Bhowmick, A Upadhyaya, Advanced Engg Materials 26, 2301460 (2024).
Effect of pressure on stacking fault energy and deformation behavior of face-centered cubic metals, A Linda, P K Tripathi, S Nagar, S Bhowmick, Materialia 26, 101598 (2022).
Complete publication list
Courses Taught in IIT Kanpur:
MSE617: Mathematics and Computational Methods
MSE682: Computer Simulations in Materials Science
MSE638: Symmetry and Properties of Crystals
NPTEL Course on : Electronic properties of materials: computational approach
List of Lectures:
Lecture 1: Introduction Lecture 2: Drude Model Lecture 3: Schrodinger Equation and Particle in a Box (including superposition) Lecture 4: Solving Schrodinger Equation for Different Potentials (Harmonic Oscillator, free particle, tunneling) Lecture 5: Visualization using Python Lecture 6: Visualization using Python Lecture 7: Numerov Method (algorithm) Lecture 8: Numerov Method (code) Lecture 9: WKB approximation Lecture 10: WKB approximation Lecture 11: Quantum free electrons Lecture 12: Quantum free electrons Lecture 13: Quantum free electrons Lecture 14: Quantum free electrons Lecture 15: Quantum free electrons (numerical exercise) Lecture 16: Real and Reciprocal lattice Lecture 17: XRD, periodic potential, Bloch theorem Lecture 18: Bloch electrons in 1D solid Lecture 19: Bloch electrons in 1D solid Lecture 20: Bloch electrons in 1D solid Lecture 21: Origin of band gap (Bragg reflection) Lecture 22: Origin of band gap (Bragg reflection, Kronig-Penny model) Lecture 23: Origin of band gap (Kronig-Penny model) Lecture 24: Band structure in 1D: different representations Lecture 25: Band structure in 2D and 3D Lecture 26: Fermi surface (Brillouin zone of a square lattice) Lecture 27: Fermi surface (monovalent, divalent, trivalent, tetravalent) Lecture 28: Fermi surface (nearly free electrons) Lecture 29: Semiclassical electron dynamics Lecture 30: Semiclassical electron dynamics Lecture 31: Semiclassical electron dynamics: concept of hole Lecture 32: Semiclassical electron dynamics: concept of effective mass Lecture 33: Semiclassical electron dynamics: concept of electron and hole orbit Lecture 34: Tight bonding method (1D energy dispersion, density of states) Lecture 35: Tight binding method (2D, 3D, LCAO for linear chain) Lecture 36: Tight binding method (LCAO for square lattice, graphene) Lecture 37: Semiconductors (Valence and Conduction band) Lecture 38: Semiconductors (Si, Ge, GaAs) Lecture 39: Semiconductors (law of mass action) Lecture 40: Semiconductors (impurity conductivity)