Molecular mechanism enabling linearity and symmetry in neuromorphic elements

From the very inception of neuromorphic computing, the quest for linear and symmetric weight updates has lingered as its most coveted yet untamed ambition. We now unveil a kinetically tuned, molecular-level mechanism that enables conductance modulation with near-ideal linearity across 16,500 analog states spanning four orders of magnitude. By orchestrating inherently nonlinear phenomena, such as nucleation, within finely controlled small-perturbation regimes, we realize what once seemed paradoxical: linearity emerging from nonlinearity. This advance offers a generalizable blueprint for instilling precise synaptic control into the very fabric of future neuromorphic materials.

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Publication Details

Journal
Applied Physics Reviews
Published
2025-08-25
DOI
https://doi.org/10.1063/5.0256247
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46

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article

Molecular mechanism enabling linearity and symmetry in neuromorphic elements

Sreetosh Goswami, Bidyabhusan Kundu
2 citations
Applied Physics Reviews
Advanced Memory and Neural Computing
1.46
article

Molecular mechanism enabling linearity and symmetry in neuromorphic elements

Sreetosh Goswami, Bidyabhusan Kundu
article en
2 citations

Abstract

From the very inception of neuromorphic computing, the quest for linear and symmetric weight updates has lingered as its most coveted yet untamed ambition. We now unveil a kinetically tuned, molecular-level mechanism that enables conductance modulation with near-ideal linearity across 16,500 analog states spanning four orders of magnitude. By orchestrating inherently nonlinear phenomena, such as nucleation, within finely controlled small-perturbation regimes, we realize what once seemed paradoxical: linearity emerging from nonlinearity. This advance offers a generalizable blueprint for instilling precise synaptic control into the very fabric of future neuromorphic materials.

Applied Physics ReviewsVol. 12(3)
Indian Institute of Science Bangalore (IN)
Ministry of Education, India, Ministry of Electronics and Information technology, Science and Engineering Research Board
Openalex Percentile: Top 15%
Advanced Memory and Neural Computing
1.46
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Molecular mechanism enabling linearity and symmetry in neuromorphic elements — Sreetosh Goswami, Bidyabhusan Kundu · Applied Physics Reviews (2025) | TGRS Research Map | TGRS