Assistant Professor
Centre for Applied Research in Electronics (CARE)
Indian Institute of Technology Delhi -110016
Research Area
Spintronic devices for non-volatile memories
Neuromorphic Computing
THz applications
2D material for neuromorphic devices
Dr. Rahul Mishra received his Ph.D. in Electrical and Computer Engineering from the National University of Singapore in December 2018. He holds a B.Tech-M.Tech dual degree (2006–2011) in Electrical Engineering from the Indian Institute of Technology, Kanpur. From 2011 to 2014, he gained industry experience as a Component Design Engineer at Intel Corporation, Bangalore. Subsequently, he served as a Graduate Student (2014–2018) and later as a Postdoctoral Researcher (2018–2020) at the National University of Singapore.
Since 2020, Dr. Rahul Mishra has been an Assistant Professor at the Centre for Applied Research in Electronics (CARE). His current research interests include Magnetic RAM (MRAM) engineering, spintronic and magnetic devices for computing and communication, spin-orbit torque devices and their underlying physics, devices for bio-inspired computing, spin phenomena in quantum materials, and computational spintronics. He is the recipient of several national and international awards and recognitions for his contributions to the field.
ST-FMR SETUP
The Spin Torque Ferromagnetic Resonance (ST-FMR) setup is a state of the art experimental platform designed to investigate magnetization dynamics in microscopic and nanoscopic spintronic systems. In this technique, a radio-frequency (RF) current (Irf) in the range of 3 GHz to 13 GHz is applied to the sample, typically a magnetic tunnel junction (MTJ) or a ferromagnet/heavy metal bilayer, using a signal generator and a bias-tee. Simultaneously, a direct current (Idc) can also be introduced for advanced measurements.
HARMONIC HALL MEASUREMENT SETUP
The Harmonic Hall measurement setup is a sophisticated experimental system designed for the precise investigation of spin-orbit torques and related effects in magnetic thin films and heterostructures. This methodology employs an alternating current (AC) to generate both first and second harmonic Hall voltages within the sample, which are subsequently detected using high-sensitivity lock-in amplifiers to maximize signal fidelity and minimize noise. The apparatus typically consists of a precision current source, a lock-in amplifier, a sample stage with reliable electrical contacts, and a controllable magnetic field. By systematically analyzing the first and second harmonic components of the Hall voltage as a function of magnetic field orientation and magnitude, researchers can quantitatively determine critical parameters such as the magnitude and symmetry of spin-orbit torques, effective magnetic fields, and intrinsic material anisotropies.
Micro-Optical Manipulation Workstation (MOMW)
The Micro Optical Manipulation Workstation (MOMW) is a state of the art experimental platform engineered for high-resolution optical imaging and precise manipulation at the micro- and nanoscale. The system seamlessly integrates a high-magnification optical microscope with a computer-controlled XYZ micromanipulator, enabling highly accurate positioning and handling of delicate specimens. Equipped with advanced image capture functionality and real-time control, the MOMW supports detailed observation and interactive manipulation with sub-micron precision. This versatile workstation is ideally suited for a range of applications, including microelectronic probing, materials characterization, device fabrication, and microscale biological research.
SPINTRONICS
Spintronics (short for spin electronics) is a cutting-edge field of electronics that exploits the intrinsic spin of electrons, along with their charge, to store, process, and transfer information. Unlike traditional electronics, which rely solely on electron charge, spintronic devices utilize electron spin states—typically "up" or "down"—to enable faster, more energy-efficient, and non-volatile operation. Spintronics plays a key role in advanced memory technologies (such as MRAM), logic devices, and quantum computing, offering significant advantages in speed, scalability, and power consumption.
Neuromorphic computing is an advanced computational paradigm that draws inspiration from the architecture and operational principles of the human brain to design energy-efficient and parallel processing systems. By emulating the behavior of biological neurons and synapses, neuromorphic systems enable real-time information processing, adaptive learning, and low-power operation—capabilities that are particularly advantageous for applications in artificial intelligence, autonomous systems, and edge computing. This brain-inspired approach holds the potential to overcome the limitations of conventional von Neumann architectures, particularly in tasks requiring high-speed pattern recognition, decision-making, and sensor integration.
THz (Terahertz) devices operate in the terahertz frequency range (0.1–10 THz), bridging the gap between microwave and infrared regions of the electromagnetic spectrum. These devices enable high-speed, high-resolution sensing, imaging, and communication applications due to their unique ability to penetrate materials and support ultra-fast data transmission. Recent advancements in materials such as 2D semiconductors and nanostructures have significantly enhanced the performance and scalability of THz electronics, making them increasingly vital for applications in security screening, biomedical imaging, spectroscopy, and next-generation wireless communication systems.
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