Proton conducting neuromorphic materials and devices
Neuromorphic computing and artificial intelligence hardware generally aims to emulate
features found in biological neural circuit components and to enable the development of …
features found in biological neural circuit components and to enable the development of …
A full-stack view of probabilistic computing with p-bits: devices, architectures, and algorithms
The transistor celebrated its 75th birthday in 2022. The continued scaling of the transistor
defined by Moore's law continues, albeit at a slower pace. Meanwhile, computing demands …
defined by Moore's law continues, albeit at a slower pace. Meanwhile, computing demands …
Strongly correlated nickelate: Recent progress of synthesis and applications in artificial intelligence
Z Zhang, Y Yu, X Qiao, J Sun, Y Ni, J Chen - Materials Science in …, 2023 - Elsevier
Perovskite nickelates (ReNiO 3) belong to the family of strongly correlated materials, the
electrical properties of which are extremely sensitive to external stimuli. Nevertheless …
electrical properties of which are extremely sensitive to external stimuli. Nevertheless …
CMOS plus stochastic nanomagnets enabling heterogeneous computers for probabilistic inference and learning
Extending Moore's law by augmenting complementary-metal-oxide semiconductor (CMOS)
transistors with emerging nanotechnologies (X) has become increasingly important. One …
transistors with emerging nanotechnologies (X) has become increasingly important. One …
Infrared Nanoimaging of Hydrogenated Perovskite Nickelate Memristive Devices
Solid-state devices made from correlated oxides, such as perovskite nickelates, are
promising for neuromorphic computing by mimicking biological synaptic function. However …
promising for neuromorphic computing by mimicking biological synaptic function. However …
Superior probabilistic computing using operationally stable probabilistic-bit constructed by manganite nanowire
Y Wang, B Chen, W Gao, B Ye, C Niu… - National Science …, 2024 - academic.oup.com
Probabilistic computing has emerged as a viable approach to treat optimization problems.
To achieve superior computing performance, the key aspect during computation is massive …
To achieve superior computing performance, the key aspect during computation is massive …
Hydrogenated VO2 bits for probabilistic computing
The stochastic nature of electronic phase transitions can serve as a random number
generating source. This work reports probabilistic bits (-bits) based on hydrogen-doped …
generating source. This work reports probabilistic bits (-bits) based on hydrogen-doped …
Double-free-layer stochastic magnetic tunnel junctions with synthetic antiferromagnets
Stochastic magnetic tunnel junctions (SMTJs) using low-barrier nanomagnets have shown
promise as fast, energy-efficient, and scalable building blocks for probabilistic computing …
promise as fast, energy-efficient, and scalable building blocks for probabilistic computing …
Integer Factorization with Stochastic Spiking in Percolating Networks of Nanoparticles
SJ Studholme, SA Brown - ACS nano, 2024 - ACS Publications
As growth in global demand for computing power continues to outpace ongoing
improvements in transistor-based hardware, novel computing solutions are required. One …
improvements in transistor-based hardware, novel computing solutions are required. One …
Resistive switching of films grown on a thermal insulator
Many correlated oxides feature an insulator-to-metal transition as the temperature is
increased. In thin films, this transition can be electrically induced by localized Joule heating …
increased. In thin films, this transition can be electrically induced by localized Joule heating …