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Prof. Suvadip Das

Assistant Professor,
Department of Physics

Birla Institute of Technology & Science, Pilani
Hyderabad Campus
Jawahar Nagar, Kapra Mandal
Dist.-Medchal-500 078
Telangana, India

Teaching

Courses Taught

PHY F110: Physics Laboratory

Waves, Mechanics and Optics

PHY F111 - Mechanics Oscillations and Waves Tutorial

Concepts, methodology and Problem solving

PHY F414: Physics of Advanced Materials

The course on “Physics of Advanced Materials” introduces students to the fascinating topic of quantum mechanics to real materials and their potential applications for quantum devices. The topic is essential for the understanding of the working principles, concepts and methodologies applied to quantum applications in the materials domain, predictive quantum simulations, introduction to data-assisted materials discovery and applied quantum methodologies. The course aims to act as a bridge between basic concepts in physics and that of applied physics for their applications to advanced materials for innovative concepts, exploration of novel phenomenon in quantum materials and devices. The course provides a hands-on introduction to concepts such as uncertainty principle, time dependent and time independent Schrodinger’s equation, harmonic oscillators, Hilbert spaces, hydrogen atom, second quantization, phonons, electron-phonon coupling, spintronics, excitons, magnetism and superconductivity, topological materials and their applications to a variety of novel quantum systems for the exploration of applications in quantum world complemented by quantum simulations, quantum methodologies and data-assisted algorithms.

PHY F419: Advanced Solid State Physics

The course on “Advanced Solid State Physics” is an amalgamation of solid state physics with that of applied quantum mechanics, an essential topic for an understanding of the working principles, advanced concepts and methodologies applied to quantum computation, predictive quantum simulations and quantum methodologies in applied materials physics. The course aims to act as a bridge between advanced concepts in physics and that of applied physics/ advanced engineering applications. The course provides a hands-on introduction to concepts such as second quantization, feynman diagrams, linear response, electron-phonon coupling, perturbation theory, random phase approximation, green’s functions and their applications to interacting electronic systems for applications in transport properties, electron-hole pair mediated phenomenon, magnetism and superconductivity.

PHY F242: Quantum Mechanics I

The course on “Quantum Mechanics I” introduces students to the fascinating topic of quantum mechanics, a topic essential for understanding of the working principles, concepts and methodologies applied to quantum computation, predictive quantum simulations, quantum materials discovery and applied quantum methodologies. The course aims to act as a bridge between basic concepts in physics and that of applied physicsfor problems in advanced present-day engineering and quantum applications. The course provides a hands-on introduction to concepts such as wave packets, uncertainty principle, time independent Schrodinger’s equation, harmonic oscillators, Hilbert spaces, perturbation theory, operator notations, hydrogen atom, variational principles, spin and angular momentum, perturbation theory, time evolution, atomic and molecular simulations, symmetries, second quantization and their applications to a variety of quantum systems for applications in quantum simulations, materials discovery and quantum algorithms.

Design & Study Projects Offered

PHY F376: Simulation of Quantum processes for Quantum Materials & Interfaces

Design & Modeling for Quantum Computing

PHY F376: Computational study of Quantum processes in Nanotubes

Design and Modeling for Electronic Device applications

PHY F491: Predictive simulation of Transport properties of Surfaces and Interfaces

Data assisted Modeling for Energy applications

PHY F491: Data-assisted Computational Design and Simulation of material properties

Data assisted Materials Discovery