18 citations · 59 across the 6 of their papers we have counts for
6 papers
Self-Organising Memristive Networks as Physical Learning Systems
Francesco Caravelli, Gianluca Milano, Adam Z. Stieg +3
Learning with physical systems is an emerging paradigm that seeks to harness the intrinsic nonlinear dynamics of physical substrates for learning. The impetus for a paradigm shift…
Spoken Digit Classification by In-Materio Reservoir Computing with Neuromorphic Atomic Switch Networks
Sam Lilak, Walt Woods, Kelsey Scharnhorst +4
Atomic Switch Networks (ASN) comprising silver iodide (AgI) junctions, a material previously unexplored as functional memristive elements within highly-interconnected nanowire netw…
Harnessing adaptive dynamics in neuro-memristive nanowire networks for transfer learning
Ruomin Zhu, Joel Hochstetter, Alon Loeffler +5
Nanowire networks (NWNs) represent a unique hardware platform for neuromorphic information processing. In addition to exhibiting synapse-like resistive switching memory at their cr…
Thermodynamic Computing
Tom Conte, Erik DeBenedictis, Natesh Ganesh +36
The hardware and software foundations laid in the first half of the 20th Century enabled the computing technologies that have transformed the world, but these foundations are now u…
Thermodynamic Self Assembly of Two-Dimensional pi-Conjugated Metal-Porphyrin Covalent Organic Frameworks by On-Site Equilibrium Polymerization
Ryota Tanoue, Rintaro Higuchi, Kiryu Ikebe +5
Two dimensional pi conjugated metal porphyrin covalent organic frameworks were produced in aqueous solution on an iodine-modified Au(111) surface by on site azomethine coupling of…
Benchtop Fabrication of Memristive Atomic Switch Networks
Henry O. Sillin, Eric J. Sandouk, Audrius V. Avizienis +3
Recent advances in nanoscale science and technology provide possibilities to directly self-assemble and integrate functional circuit elements within the wiring scheme of devices wi…