D. Bhowmik

发表

Synapse cell optimization and back-propagation algorithm implementation in a domain wall synapse based crossbar neural network for scalable on-chip learning

Divya Kaushik, Janak Sharda, D. Bhowmik, 2020, Nanotechnology.

Experimental evidence of ferroelectric negative capacitance in nanoscale heterostructures

Xiaoqing Pan, Sung Joo Kim, S. Salahuddin, 2011, 1103.4419.

Spin Hall effect clocking of nanomagnetic logic without a magnetic field.

L. You, S. Salahuddin, D. Bhowmik, 2014, Nature nanotechnology.

Switching of perpendicularly polarized nanomagnets with spin orbit torque without an external magnetic field by engineering a tilted anisotropy

J. Bokor, Jeongmin Hong, L. You, 2014, Proceedings of the National Academy of Sciences.

Spin orbit torque driven magnetic switching for low power computing and memory

D. Bhowmik, 2015 .

On-chip learning of a domain-wall-synapse-crossbar-array-based convolutional neural network

Divya Kaushik, Janak Sharda, D. Bhowmik, 2022, Neuromorph. Comput. Eng..

Resolving Single-Nanoconstruct Dynamics during Targeting and Nontargeting Live-Cell Membrane Interactions.

Teri W. Odom, T. Odom, Tingting Liu, 2019, ACS nano.

Ferrimagnetic Synapse Devices for Fast and Energy-Efficient On-Chip Learning on An Analog-Hardware Neural Network

Janak Sharda, D. Bhowmik, P. Muduli, 2021 .

Fast-QTrain: an algorithm for fast training of variational classifiers

D. Bhowmik, Siddharth Dangwal, Ritvik Sharma, 2022, Quantum Information Processing.

Significant structural differences between transient amyloid-β oligomers and less-toxic fibrils in regions known to harbor familial Alzheimer's mutations.

Bappaditya Chandra, D. Bhowmik, S. Maiti, 2014, Angewandte Chemie.

A folding transition underlies the emergence of membrane affinity in amyloid-β.

E. Haas, E. Lerner, D. Bhowmik, 2013, Physical chemistry chemical physics : PCCP.

A reconfigurable spintronic device for quantum and classical logic

T. K. Bhattacharyya, D. Bhowmik, A. Sarkar, 2010, 1012.1993.

Vibrational Foundations of Mental Morphogenesis

D. Bhowmik, A. Shanker, Kirill Popov, 2018 .

Magnetization Switching and Domain Wall Motion Due to Spin Orbit Torque

L. You, S. Salahuddin, D. Bhowmik, 2016 .

Coexisting Ordered and Disordered Membrane Phases Have Distinct Modes of Interaction with Disease-Associated Oligomers.

D. Bhowmik, S. Maiti, Simli Dey, 2022, The journal of physical chemistry. B.

Supervised learning with a quantum classifier using multi-level systems

D. Bhowmik, Siddharth Dangwal, S. Adhikary, 2020, Quantum Information Processing.

Experimental evidence of ferroelectric negative capacitance in nanoscale heterostructures

Xiaoqing Pan, Sung Joo Kim, S. Salahuddin, 2011, 1103.4419.

Supervised learning with a quantum classifier using multi-level systems

Debanjan Bhowmik, Soumik Adhikary, Siddharth Dangwal, 2019, Quantum Inf. Process..

On-chip learning for domain wall synapse based Fully Connected Neural Network pdf

Utkarsh Saxena, Debanjan Bhowmik, Shouri Chatterjee, 2018, Journal of Magnetism and Magnetic Materials.

Cell-Membrane-Mimicking Lipid-Coated Nanoparticles Confer Raman Enhancement to Membrane Proteins and Reveal Membrane-Attached Amyloid-β Conformation.

Bappaditya Chandra, D. Bhowmik, J. Basu, 2015, ACS nano.

Gate control of the spin-splitting energy in a quantum dot: Application in single qubit rotation

Supriyo Bandyopadhyay, Debanjan Bhowmik, Supriyo Bandyopadhyay, 2009 .

An early folding contact between Phe19 and Leu34 is critical for amyloid-β oligomer toxicity.

D. Huster, D. Bhowmik, S. Maiti, 2015, ACS chemical neuroscience.

Zn(++) binding disrupts the Asp(23)-Lys(28) salt bridge without altering the hairpin-shaped cross-β Structure of Aβ(42) amyloid aggregates.

D. Bhowmik, S. Maiti, P. Madhu, 2011, Biophysical journal.

A Detailed Analysis of the Morphology of Fibrils of Selectively Mutated Amyloid β (1-40).

H. Scheidt, D. Huster, D. Bhowmik, 2016, Chemphyschem : a European journal of chemical physics and physical chemistry.

Wavelength-Dependent Differential Interference Contrast Inversion of Anisotropic Gold Nanoparticles.

T. Odom, D. Bhowmik, Priscilla Choo, 2018, The journal of physical chemistry. C, Nanomaterials and interfaces.

Major Reaction Coordinates Linking Transient Amyloid-β Oligomers to Fibrils Measured at Atomic Level.

R. Venkatramani, Bappaditya Chandra, D. Bhowmik, 2017, Biophysical journal.

Curcumin Dictates Divergent Fates for the Central Salt Bridges in Amyloid-β40 and Amyloid-β42.

Bappaditya Chandra, D. Bhowmik, S. Maiti, 2017, Biophysical journal.

Rapid, cell-free assay for membrane-active forms of amyloid-β.

D. Bhowmik, S. Maiti, A. K. Das, 2015, Langmuir : the ACS journal of surfaces and colloids.

The basic structural motif and major biophysical properties of Amyloid-β are encoded in the fragment 18–35

Neelanjana Sengupta, D. Bhowmik, S. Maiti, 2013 .

Curcumin Alters the Salt Bridge-containing Turn Region in Amyloid β(1–42) Aggregates*

D. Bhowmik, S. Maiti, P. Madhu, 2014, The Journal of Biological Chemistry.

An Oscillator-Synchronization-Based Off-Line Learning Algorithm, With On-Chip Inference on an Array of Spin Hall Nano-Oscillators

D. Bhowmik, P. Muduli, N. Garg, 2023, IEEE Transactions on Nanotechnology.

Deterministic Domain Wall Motion Orthogonal To Current Flow Due To Spin Orbit Torque

Jeffrey Bokor, Long You, Sayeef Salahuddin, 2014, Scientific Reports.

Hypertrophic cardiomyopathy mutations in the pliant and light chain-binding regions of the lever arm of human β-cardiac myosin have divergent effects on myosin function

J. Spudich, D. Bhowmik, Makenna M. Morck, 2021, bioRxiv.

1 Curcumin alters the salt-bridge containing turn region in amyloid beta 1-42 aggregates *

D. Bhowmik, S. Maiti, P. Madhu, 2014 .

On-chip Learning In A Conventional Silicon MOSFET Based Analog Hardware Neural Network

Utkarsh Saxena, Debanjan Bhowmik, Utkarsh Singh, 2019, 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS).

pH changes the aggregation propensity of amyloid-β without altering the monomer conformation.

R. Venkatramani, D. Bhowmik, S. Maiti, 2014, Physical chemistry chemical physics : PCCP.

Single-spin implementation of a multiplexer

T. K. Bhattacharyya, D. Bhowmik, A. Neogy, 2009 .

Lattice-Resonance Metalenses for Fully Reconfigurable Imaging.

T. Odom, Tingting Liu, D. Bhowmik, 2019, ACS nano.

Demonstration of Synaptic Behavior in a Heavy-Metal-Ferromagnetic-Metal-Oxide-Heterostructure-Based Spintronic Device for On-Chip Learning in Crossbar-Array-Based Neural Networks

D. Bhowmik, P. Muduli, Pankhuri Gupta, 2023, ACS Applied Electronic Materials.

Spike time dependent plasticity (STDP) enabled learning in spiking neural networks using domain wall based synapses and neurons

Upasana Sahu, Kushaagra Goyal, Debanjan Bhowmik, 2019, AIP Advances.

Comparing domain wall synapse with other Non Volatile Memory devices for on-chip learning in Analog Hardware Neural Network pdf

Upasana Sahu, Debanjan Bhowmik, Utkarsh Singh, 2019, AIP Advances.

Design of a Conventional-Transistor-Based Analog Integrated Circuit for On-Chip Learning in a Spiking Neural Network

Debanjan Bhowmik, Shikhar Tuli, D. Bhowmik, 2020, ICONS.

Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation pdf

Debanjan Bhowmik, Saurabh Kumar, Siddharth Dangwal, 2020, ArXiv.

Steric Crowding of the Turn Region Alters the Tertiary Fold of Amyloid-β18–35 and Makes It Soluble*

Harwinder Singh, D. Bhowmik, S. Maiti, 2015, The Journal of Biological Chemistry.

An Algorithm for Fast Supervised Learning in Variational Circuits through Simultaneous Processing of Multiple Samples

Debanjan Bhowmik, Ritvik Sharma, Siddharth Dangwal, 2020, 2011.14297.

Superior Performance of Phase Binarized Oscillators (PBOs) Compared to Quantum Approximation Optimization Algorithm (QAOA) for Ising Computing (Max-Cut Problem)

D. Bhowmik, Sanyam Singhal, 2023 .

Kuramoto-model-based data classification using the synchronization dynamics of uniform-mode spin Hall nano-oscillators

D. Bhowmik, P. Muduli, Neha Garg, 2021, Neuromorph. Comput. Eng..

Low energy implementation of feedforward neural network with backpropagation algorithm using a spin orbit torque driven skyrmionic device.

Divya Kaushik, Mudit Bansal, Debanjan Bhowmik, 2018, 2018 IEEE International Magnetic Conference (INTERMAG).

Training of a Spiking Neural Network on spintronics based analog hardware for handwritten digit recognition

Kushaagra Goyal, Debanjan Bhowmik, Upasana Sahu, 2021 .

Major Reaction Coordinates Linking Transient Amyloid-β Oligomers to Fibrils Measured at Atomic Level.

R. Venkatramani, Bappaditya Chandra, D. Bhowmik, 2017, Biophysical journal.

Impact of edge defects on the synaptic characteristic of a ferromagnetic domain-wall device and on on-chip learning

D. Bhowmik, P. Muduli, Amod Holla, 2023, Neuromorph. Comput. Eng..

Learning of classification tasks with an array of uniform-mode spin Hall nano-oscillators

Debanjan Bhowmik, Utkarsh Singh, Neha Garg, 2021, AIP Advances.

Skyrmionic implementation of Spike Time Dependent Plasticity (STDP) enabled Spiking Neural Network (SNN) under supervised learning scheme

Upasana Sahu, Kushaagra Goyal, Utkarsh Saxena, 2018, 2018 4th IEEE International Conference on Emerging Electronics (ICEE).

Deterministic Spin-Orbit Torque Switching of a Perpendicularly Polarized Magnet Using Wedge Shape of the Magnet

S. Salahuddin, D. Bhowmik, 2016 .

Possible route to low current, high speed, dynamic switching in a perpendicular anisotropy CoFeB-MgO junction using Spin Hall Effect of Ta

L. You, S. Salahuddin, D. Bhowmik, 2012, 2012 International Electron Devices Meeting.

Low-Energy Implementation of Feed-Forward Neural Network With Back-Propagation Algorithm Using a Spin-Orbit Torque Driven Skyrmionic Device

Divya Kaushik, Mudit Bansal, Debanjan Bhowmik, 2018, IEEE Transactions on Magnetics.

Reduction of the Weight-Decay Rate of Volatile Memory Synapses in an Analog Hardware Neural Network for Accurate and Scalable On-Chip Learning

Debanjan Bhowmik, Ankesh Jain, Nilabjo Dey, 2020, ICONS.

Allosteric destabilization of the super-relaxed state of cardiac myosin by hypertrophic cardiomyopathy-causing mutations

J. Spudich, D. Bhowmik, K. Ruppel, 2022, Biophysical Journal.