16 citations · 44 across the 13 of their papers we have counts for
13 papers
Design Space and Variability Analysis of SOI MOSFET for Ultra-Low Power Band-to-Band Tunneling Neurons
Jay Sonawane, Shubham Patil, Abhishek Kadam +4
Large spiking neural networks (SNNs) require ultra-low power and low variability hardware for neuromorphic computing applications. Recently, a band-to-band tunneling-based (BTBT) i…
Ferroelectric MirrorBit-Integrated Field-Programmable Memory Array for TCAM, Storage, and In-Memory Computing Applications
Paritosh Meihar, Rowtu Srinu, Sandip Lashkare +6
In-memory computing on a reconfigurable architecture is the emerging field which performs an application-based resource allocation for computational efficiency and energy optimizat…
Process Voltage Temperature Variability Estimation of Tunneling Current for Band-to-Band-Tunneling based Neuron
Shubham Patil, Anand Sharma, Gaurav R +5
Compact and energy-efficient Synapse and Neurons are essential to realize the full potential of neuromorphic computing. In addition, a low variability is indeed needed for neurons…
Evolution of ferroelectricity with annealing temperature and thickness in sputter deposited undoped HfO on silicon
Md Hanif Ali, Adityanarayan Pandey, Rowtu Srinu +4
Ferroelectricity in sputtered undoped-HfO is attractive for composition control for low power and non-volatile memory and logic applications. Unlike doped HfO, evolution of…
Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing
Shubham Patil, Jayatika Sakhuja, Ajay Kumar Singh +5
Energy-efficient real-time synapses and neurons are essential to enable large-scale neuromorphic computing. In this paper, we propose and demonstrate the Schottky-Barrier MOSFET-ba…
FeFET-based MirrorBit cell for High-density NVM storage
Paritosh Meihar, Rowtu Srinu, Vivek Saraswat +6
HfO2-based Ferroelectric field-effect transistor (FeFET) has become a center of attraction for non-volatile memory applications because of their low power, fast switching speed, hi…
Interlayer-engineered local epitaxial templating induced enhancement in polarization (2P > 70C/cm) in HfZrO thin films
Srinu Rowtu, Paritosh Meihar, Adityanarayan Pandey +3
In this work, we report a high remnant polarization, 2Pr >70C/cm in thermally processed atomic layer deposited Hf0.5Zr0.5O2 (HZO) film on Silicon with NH3 plasma exposed thi…
India's Rise in Nanoelectronics Research
Udayan Ganguly, Sandip Lashkare, Swaroop Ganguly
Modern semiconductors innovation has a strong relation to scale and skill. While India has a significant demand for semiconductors, it has a daunting challenge to create a semicond…
Investigating Transient Characteristics of Volatile Hysteresis and Self-Heating of PrMnO based RRAM
J. Sakhuja, S. Lashkare, K. Jana +1
PrMnO (PMO) based RRAM shows selector-less behavior due to high-non-linearity. Recently, the non-linearity, along with volatile hysteresis, is demonstrated and utilized as a co…
Reaction-Drift Model for Switching Transients in PrCaMnO-Based Resistive RAM
Vivek Saraswat, Shankar Prasad, Abhishek Khanna +5
PrCaMnO (PCMO) based RRAM shows promising memory properties like non-volatility, low variability, multiple resistance states and scalability. From a modeling pe…
Understanding the Location of Resistance Change in the Pr0.7Ca0.3MnO3 RRAM
Sandip Lashkare, Udayan Ganguly
Pr1-xCaxMnO3 (PCMO) based resistance random access memory (RRAM) is attractive in large scale memory and neuromorphic applications as it is non-filamentary, area scalable and has m…
A case for multiple and parallel RRAMs as synaptic model for training SNNs
Aditya Shukla, Sidharth Prasad, Sandip Lashkare +1
To enable a dense integration of model synapses in a spiking neural networks hardware, various nano-scale devices are being considered. Such a device, besides exhibiting spike-time…
A simple and efficient SNN and its performance & robustness evaluation method to enable hardware implementation
Anmol Biswas, Sidharth Prasad, Sandip Lashkare +1
Spiking Neural Networks (SNN) are more closely related to brain-like computation and inspire hardware implementation. This is enabled by small networks that give high performance o…