Semiconductor quantum dots for memories and neuromorphic computing systems

Z Lv, Y Wang, J Chen, J Wang, Y Zhou… - Chemical reviews, 2020 - ACS Publications
The continued growth in the demand of data storage and processing has spurred the
development of high-performance storage technologies and brain-inspired neuromorphic …

Recent developments and perspectives for memristive devices based on metal oxide nanowires

G Milano, S Porro, I Valov… - Advanced Electronic …, 2019 - Wiley Online Library
Memristive devices are considered one of the most promising candidates to overcome
technological limitations for realizing next‐generation memories, logic applications, and …

Self-limited single nanowire systems combining all-in-one memristive and neuromorphic functionalities

G Milano, M Luebben, Z Ma, R Dunin-Borkowski… - Nature …, 2018 - nature.com
The ability for artificially reproducing human brain type signals' processing is one of the main
challenges in modern information technology, being one of the milestones for developing …

Reset Voltage-Dependent Multilevel Resistive Switching Behavior in CsPb1–xBixI3 Perovskite-Based Memory Device

S Ge, Y Wang, Z Xiang, Y Cui - ACS applied materials & interfaces, 2018 - ACS Publications
All-inorganic CsPb1–x Bi x I3 perovskite film was successfully fabricated by incorporating
Bi3+ in CsPbI3 to stabilize the cubic lattice. Furthermore, the perovskite film was applied to …

Neuromorphic liquids, colloids, and gels: A review

NR Kheirabadi, A Chiolerio, K Szaciłowski… - …, 2023 - Wiley Online Library
Advances in flexible electronic devices and robotic software require that sensors and
controllers be virtually devoid of traditional electronic components, be deformable and …

Brain-inspired computing with self-assembled networks of nano-objects

A Vahl, G Milano, Z Kuncic, SA Brown… - Journal of Physics D …, 2024 - iopscience.iop.org
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 …

[HTML][HTML] Learning in colloids: Synapse-like zno+ dmso colloid

NR Kheirabadi, A Chiolerio, N Phillips, A Adamatzky - Neurocomputing, 2023 - Elsevier
Colloids subjected to electrical stimuli exhibit a reconfiguration that might be used to store
information and potentially compute. In a colloidal suspension of ZnO nanoparticles in …

Experimental and modeling study of metal–insulator interfaces to control the electronic transport in single nanowire memristive devices

G Milano, E Miranda, M Fretto, I Valov… - ACS applied materials …, 2022 - ACS Publications
Memristive devices relying on redox-based resistive switching mechanisms represent
promising candidates for the development of novel computing paradigms beyond von …

TEM nanostructural investigation of Ag-conductive filaments in polycrystalline ZnO-based resistive switching devices

K Bejtka, G Milano, C Ricciardi, CF Pirri… - ACS applied materials …, 2020 - ACS Publications
Memristive devices based on a resistive switching mechanism are considered very
promising for nonvolatile memory and unconventional computing applications, even though …

Water-mediated ionic migration in memristive nanowires with a tunable resistive switching mechanism

G Milano, F Raffone, M Luebben… - … applied materials & …, 2020 - ACS Publications
Memristive devices based on electrochemical resistive switching effects have been
proposed as promising candidates for in-memory computing and for the realization of …