Biodegradable and flexible polymer‐based memristor possessing optimized synaptic plasticity for eco‐friendly wearable neural networks with high energy efficiency

S Oh, H Kim, SE Kim, MH Kim… - Advanced Intelligent …, 2023 - Wiley Online Library
Organic memristors are promising candidates for the flexible synaptic components of
wearable intelligent systems. With heightened concerns for the environment, considerable …

Second-order associative memory circuit hardware implemented by the evolution from battery-like capacitance to resistive switching memory

G Zhou, X Ji, J Li, F Zhou, Z Dong, B Yan, B Sun… - Iscience, 2022 - cell.com
Memristor-based Pavlov associative memory circuit presented today only realizes the simple
condition reflex process. The secondary condition reflex endows the simple condition reflex …

Recent trends in neuromorphic systems for non-von Neumann in materia computing and cognitive functionalities

I Mondal, R Attri, TS Rao, B Yadav… - Applied Physics …, 2024 - pubs.aip.org
In the era of artificial intelligence and smart automated systems, the quest for efficient data
processing has driven exploration into neuromorphic systems, aiming to replicate brain …

Formation of Cluster‐Structured Metallic Filaments in Organic Memristors for Wearable Neuromorphic Systems with Bio‐Mimetic Synaptic Weight Distributions

U Jung, M Kim, J Jang, JH Bae, IM Kang… - Advanced …, 2024 - Wiley Online Library
With increasing demand for wearable electronics capable of computing huge data, flexible
neuromorphic systems mimicking brain functions have been receiving much attention …

A Self-Formed Ag Nanostructure Based Neuromorphic Device Performing Arithmetic Computation and Area Integration: Influence of Presynaptic Pulsing Scheme on …

M Pal, M Kaur, B Yadav, A Bisht, V NS… - ACS Applied Materials …, 2025 - ACS Publications
A material equivalent of a biosynapse is the key to neuromorphic architecture. Here we
report a self-forming labyrinthine Ag nanostructure activated with a few pulses of 0.5 V, width …

Stretchable hierarchical metal wire networks for neuromorphic emulation of nociception and anti-nociception

B Yadav, I Mondal, M Kaur, NS Vidhyadhiraja… - Materials …, 2025 - pubs.rsc.org
Among biomimetic technologies, the incorporation of sensory hardware holds exceptional
utility in human–machine interfacing. In this context, devices receptive to nociception and …

Neuromorphic devices realised using self-forming hierarchical Al and Ag nanostructures: towards energy-efficient and wide ranging synaptic plasticity

R Attri, I Mondal, B Yadav, GU Kulkarni, CNR Rao - Materials Horizons, 2024 - pubs.rsc.org
Closely mimicking the hierarchical structural topology with emerging behavioral
functionalities of biological neural networks in neuromorphic devices is considered of prime …

Energy-efficient resistive switching synaptic devices based on patterned Ag nanotriangles with tunable gaps fabricated using plasma-assisted nanosphere lithography

SK Mehta, I Mondal, B Yadav, GU Kulkarni - Nanoscale, 2024 - pubs.rsc.org
The development of synaptic devices featuring metallic nanostructures with brain-analog
hierarchical architecture, capable of mimicking cognitive functionalities, has emerged as a …

Heterostimuli chemo-modulation of neuromorphic nanocomposites for time-, power-, and data-efficient machine learning

JG Kim, R Liu, P Dhakal, A Hou, C Gao, J Qiu, C Merkel… - Matter, 2024 - cell.com
Heterostimuli-modulated neuromorphic devices were created to emulate chemo-modulated
biological associative learning with concurrent volume and wiring transmission. The zinc …

Emulating learning behavior in a flexible device with self-formed Ag dewetted nanostructure as active element

B Yadav, I Mondal, B Bannur, GU Kulkarni - Nanotechnology, 2023 - iopscience.iop.org
Neuromorphic devices are a promising alternative to the traditional von Neumann
architecture. These devices have the potential to achieve high-speed, efficient, and low …