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.
Authors
- Sreetosh Goswami (ORCID: https://orcid.org/0000-0002-5104-5757)
- Bidyabhusan Kundu
Institutions
- Indian Institute of Science Bangalore (IN)
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
Funders
- Ministry of Education, India
- Ministry of Electronics and Information technology
- Science and Engineering Research Board