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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Spintronic-based neuromorphic hardware offers high density and rapid data processing at nanoscale lengths by leveraging magnetic configurations like skyrmion and domain walls. Here, we present the maximal hardware implementation of a convolutional neural network (CNN) based on a compact multi-bit skyrmion-based synapse and a hybrid CMOS domain wall-based circuit for activation and max-pooling functionalities. We…
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The spin-valley qubit promises significantly enhanced spin-valley lifetimes due to strong coupling of the electrons’ spin to their momentum (valley) degrees of freedom. In transition-metal dichalcogenides (TMDCs), such spin-valley locking is expected to be particularly strong owing to the significant intrinsic spin–orbit coupling (SOC) strength. Very recently, a few experiments on TMDC quantum dots have…
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Recent breakthroughs in the transport spectroscopy of 2-D material quantum-dot platforms have engendered a fervent interest in spin–valley qubits. In this context, Pauli blockades in double quantum dot structures form a crucial basis for multi-qubit initialization and manipulation. Focusing on double quantum dot structures in the bilayer graphene platform, and the experimental results, we develop…
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Generating valley contrasts and achieving valley-specific transport of Dirac fermions in graphene are inherently challenging due to isotropic transport. In this work, we propose a tilted PN junction structure to induce anisotropic chiral transport within otherwise isotropic Dirac systems. By introducing a junction tilt, we modify the conservation conditions of pseudo-spin modes, effectively segregation valleys…
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Antimonide (Sb)-based materials are leading the development of low-noise, high-gain avalanche photodiodes for infrared applications. Achieving minimal dark current in a simple p–i–n device structure remains a significant challenge. In this work, we explore the inherent flexibility of the InAsSb ternary alloy material systems to design the nBn architecture and investigate its performance through barrier…
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In this episode of the Physics World Weekly podcast, Prof. Bhaskaran Muralidharan, who leads the Computational Nanoelectronics & Quantum Transport Group at the Indian Institute of Technology Bombay, talks about how computational physics is being used to develop new quantum materials; and how ultrasound can help detect breast cancer. In a conversation with Physics World’s Hamish Johnston, he…
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Recent experiments on Cooper pair splitters using superconductor-quantum dot hybrids have embarked on creating entanglement in the solid-state, by engineering the sub-gap processes in the superconducting region. Using the thermoelectric Cooper pair splitter setup [Nat. Comm., 12, 21, (2021)] as a prototype, we present a comprehensive analysis of the fundamental components of the observed transport…
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A class of two-dimensional (2D) materials known as MXenes has a layered structure and is expected to exhibit unique thermoelectric (TE) properties. Despite the high expectations for certain MXenes’ TE capabilities, there has been surprisingly limited theoretical research into this area. Inspired by the recent successful growth of 2D monolayer Ti3C2 MXene, here we explore the…
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The pursuit of high-efficiency heat-to-electricity conversion is one of the indispensable driving forces toward future renewable energy production. The two-dimensional (2D) transition metal dichalcogenide, such as molybdenum disulfide (MoS2), is at the forefront of research due to its outstanding heat propagation features and potential applications as a thermoelectric material. Using the first-principles density functional theory…
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