Memristive Ion Dynamics to Enable Biorealistic Computing
Conventional artificial intelligence (AI) systems are facing bottlenecks due to the
fundamental mismatches between AI models, which rely on parallel, in-memory, and …
fundamental mismatches between AI models, which rely on parallel, in-memory, and …
Recent trends in neuromorphic systems for non-von Neumann in materia computing and cognitive functionalities
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 …
processing has driven exploration into neuromorphic systems, aiming to replicate brain …
In Situ TEM Investigation of Thermally Induced Modifications of Cluster-Assembled Gold Films Undergoing Resistive Switching: Implications for Nanostructured …
Cluster-assembled nanostructured gold films are renowned for exhibiting neuromorphic
properties, making them pivotal components in receptrons. Receptrons, which extend the …
properties, making them pivotal components in receptrons. Receptrons, which extend the …
Brain-inspired computing with self-assembled networks of nano-objects
Major efforts to reproduce functionalities and energy efficiency of the brain have been
focused on the development of artificial neuromorphic systems based on crossbar arrays of …
focused on the development of artificial neuromorphic systems based on crossbar arrays of …
Efficient Spiking Neural Networks with Biologically Similar Lithium-Ion Memristor Neurons
S Ke, Y Pan, Y Jin, J Meng, Y Xiao… - … Applied Materials & …, 2024 - ACS Publications
Benefiting from the brain-inspired event-driven feature and asynchronous sparse coding
approach, spiking neural networks (SNNs) are becoming a potentially energy-efficient …
approach, spiking neural networks (SNNs) are becoming a potentially energy-efficient …
Artificial Neuron Based on the Bloch-Point Domain Wall in Ferromagnetic Nanowires
Nanomagnetism and spintronics are currently active areas of research, with one of the main
goals being the creation of low-energy-consuming magnetic memories based on …
goals being the creation of low-energy-consuming magnetic memories based on …
Direct on-Chip Optical Communication between Nano Optoelectronic Devices
On-chip optical communication between individual nano optoelectronic components is
important to reduce the footprint and improve energy efficiency of photonic neuromorphic …
important to reduce the footprint and improve energy efficiency of photonic neuromorphic …
Two‐Junction Model in Different Percolation Regimes of Silver Nanowires Networks
JI Diaz Schneider, CP Quinteros, P Levy… - Advanced Functional …, 2024 - Wiley Online Library
Random networks offer fertile ground for achieving complexity and criticality, both crucial for
an unconventional computing paradigm inspired by biological brains' features. In this work …
an unconventional computing paradigm inspired by biological brains' features. In this work …
Emerging Spatiotemporal Dynamics in Multiterminal Neuromorphic Nanowire Networks Through Conductance Matrices and Voltage Maps
Self‐organizing memristive nanowire (NW) networks are promising candidates for
neuromorphic‐type data processing in a physical reservoir computing framework because of …
neuromorphic‐type data processing in a physical reservoir computing framework because of …
Volatile and Nonvolatile Dual‐Mode Switching Operations in an Ag‐Ag2S Core‐Shell Nanoparticle Atomic Switch Network
This paper proposes a nanoparticle‐based atomic switch network memristive device,
capable of both volatile and nonvolatile switching operations, which have not been …
capable of both volatile and nonvolatile switching operations, which have not been …