We work in the area of computational nanoelectronics. Expertise in the microscopic simulation of non-equilibrium phenomena will play a crucial role not only in the research and design of emerging electronic and spintronic devices but also in diverse areas such as biological systems. Our simulations address a large class of problems encompassing electron, spin, and…
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To provide the best possible performance, modern infrared photodetector designs necessitate extremely precise modeling of the superlattice absorber region. We advance the Rode’s method for the Boltzmann transport equation in conjunction with the 𝐤.𝐩 band structure and the envelope function approximation for a detailed computation of the carrier mobility and conductivity of layered type-II superlattice structures, using which…
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Neuromorphic computing is inspired by the working of the brain, which performs highly complex tasks while consuming remarkably low power. We employ spintronics to design devices, circuits, and networks to realize hardware implementation of machine learning architectures, i.e., neuromorphic computing. We use our developed hybrid simulation setup to incorporate the diverse physics of spin-transport, magnetization…
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