Debanjan Bhowmik
Debanjan Bhowmik
Assistant Professor, Department of Electrical Engineering, Indian Institute of Technology Delhi
Verified email at - Homepage
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Experimental evidence of ferroelectric negative capacitance in nanoscale heterostructures
AI Khan, D Bhowmik, P Yu, SJ Kim, X Pan, R Ramesh, S Salahuddin
Applied Physics Letters 99 (11), 113501, 2011
Spin Hall effect clocking of nanomagnetic logic without a magnetic field
D Bhowmik, L You, S Salahuddin
Nature nanotechnology 9 (1), 59-63, 2014
Switching of perpendicularly polarized nanomagnets with spin orbit torque without an external magnetic field by engineering a tilted anisotropy
L You, OJ Lee, D Bhowmik, D Labanowski, J Hong, J Bokor, ...
Proceedings of the National Academy of Sciences 112 (33), 10310-10315, 2015
Deterministic Domain Wall Motion Orthogonal To Current Flow Due To Spin Orbit Torque
D Bhowmik, M Nowakowski, L You, OJ Lee, D Keating, M Wong, J Bokor, ...
Scientific Reports 5, 2015
On-chip learning for domain wall synapse based Fully Connected Neural Network
D Bhowmik, U Saxena, A Dankar, A Verma, D Kaushik, S Chatterjee, ...
Journal of Magnetism and Magnetic Materials, 165434, 2019
Supervised learning with a quantum classifier using multi-level systems
S Adhikary, S Dangwal, D Bhowmik
Quantum Information Processing 19 (3), 89, 2020
Possible route to low current, high speed, dynamic switching in a perpendicular anisotropy CoFeB-MgO junction using Spin Hall Effect of Ta
D Bhowmik, L You, S Salahuddin
Electron Devices Meeting (IEDM), 2012 IEEE International, 29.7. 1-29.7. 4, 2012
Low-Energy Implementation of Feed-Forward Neural Network With Back-Propagation Algorithm Using a Spin-Orbit Torque Driven Skyrmionic Device
U Saxena, D Kaushik, M Bansal, U Sahu, D Bhowmik
IEEE Transactions on Magnetics, 1-5, 2018
Low energy implementation of feedforward neural network with backpropagation algorithm using a spin orbit torque driven skyrmionic device
U Saxena, D Kaushik, M Bansal, H Chandel, U Sahu, D Bhowmik
2018 IEEE International Magnetics Conference (INTERMAG), 2018
Single-spin implementation of a multiplexer
TK Bhattacharyya, A Neogy, D Bhowmik
Physica E: Low-dimensional Systems and Nanostructures 41 (7), 1184-1186, 2009
Gate control of the spin-splitting energy in a quantum dot: Application in single qubit rotation
D Bhowmik, S Bandyopadhyay
Physica E: Low-dimensional Systems and Nanostructures 41 (4), 587-592, 2009
Magnetization switching and domain wall motion due to spin orbit torque
D Bhowmik, OJ Lee, L You, S Salahuddin
Chapter in “Nanomagnetic and Spintronic Devices for Energy Efficient Memory …, 2016
On-chip learning in a conventional silicon MOSFET based Analog Hardware Neural Network
N Dey, J Sharda, U Saxena, D Kaushik, U Singh, D Bhowmik
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2019
Comparing domain wall synapse with other non volatile memory devices for on-chip learning in analog hardware neural network
D Kaushik, U Singh, U Sahu, I Sreedevi, D Bhowmik
AIP Advances 10 (2), 025111, 2020
Spike time dependent plasticity (STDP) enabled learning in spiking neural networks using domain wall based synapses and neurons
U Sahu, A Pandey, K Goyal, D Bhowmik
AIP Advances 9 (12), 125339, 2019
Supervised Learning Using a Dressed Quantum Network with" Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation
S Kumar, S Dangwal, D Bhowmik
arXiv preprint arXiv:2007.10242, 2020
Deterministic Spin–Orbit Torque Switching of a Perpendicularly Polarized Magnet Using Wedge Shape of the Magnet
D Bhowmik, S Salahuddin
Spin 6 (02), 1640008, 2016
An Algorithm for Fast Supervised Learning in Variational Circuits through Simultaneous Processing of Multiple Samples
S Dangwal, R Sharma, D Bhowmik
arXiv preprint arXiv:2011.14297, 2020
Design of a Conventional-Transistor-Based Analog Integrated Circuit for On-Chip Learning in a Spiking Neural Network
S Tuli, D Bhowmik
International Conference on Neuromorphic Systems 2020, 1-8, 2020
Reduction of the Weight-Decay Rate of Volatile Memory Synapses in an Analog Hardware Neural Network for Accurate and Scalable On-Chip Learning
J Sharda, N Dey, A Jain, D Bhowmik
International Conference on Neuromorphic Systems 2020, 1-8, 2020
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