Modeling and Simulation

Through the application of advanced computational techniques, the field of modeling and simulation plays a pivotal role in acquiring insights about material behavior, performance, and engineering pioneering materials, devices and systems. This interdisciplinary domain fosters collaborative endeavors, drawing expertise from diverse disciplines, to engage in simulations spanning from atomistic to macroscopic scales.

Materials Design and Discovery

Computational techniques are developed to design and discover new materials with tailored properties. High-throughput simulations and machine learning methods are employed to screen vast material databases and identify promising candidates for specific applications.

Molecular Modeling

Researchers employ Molecular Dynamics simulations and Density Functional theory to investigate structure, properties (mechanical, viscoelastic, electrical, optical, etc.), and chemical reactions. Understanding the relationship between structure and various properties is crucial for designing novel materials for targeted applications.

Multi-Scale Modeling

Multi-scale modeling involves bridging the gap between different length and time scales in materials and devices. This research area integrates data from nano and mesoscale simulations to enable comprehensive understanding of how physical mechanisms at various length and time scales influence properties at the macroscale.

Process and Device Simulation

Researchers in this area focus on modeling and simulating electronic devices, such as transistors, diodes, and integrated circuits. They study the electrical behavior, carrier transport, and thermal properties of these devices to optimize their performance and energy efficiency.

Faculty

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