Results 191 to 200 of about 120,811,929 (257)

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source

Phase-Change Memory for In-Memory Computing. [PDF]

Chem Rev
Syed GS, Le Gallo M, Sebastian A.
europepmc   +1 more source

Sub‐1 ms Optoelectronic Synapse Based on {ZnCdO/ZnO} Multilayer Structure for High‐Speed Neuromorphic Vision Systems

Advanced Functional Materials, EarlyView.
Eu‐doped {ZnCdO/ZnO} structures grown on Si are developed, showcasing dual‐functionality controlled by europium doping. While high europium concentration transforms the device into an ultrafast, self‐powered photodetector, low‐doped structures can be used as an optoelectronic synapse.
Igor Perlikowski, Eunika Zielony, Adrian Kaim, Ewa Przeździecka   +3 more
wiley   +1 more source

High-throughput design of optoelectronic-ferroelectric heterostructure from materials to sensor-memory-computing devices. [PDF]

Natl Sci Rev
Zhong G, Yan J, Tang M, Deng H, Tan Y, Zhong X, Li C, Fan Z, Wang J, Li J.   +9 more
europepmc   +1 more source

Analog Classification of Human Hand Gestures Exploiting Dendritic Integration With an Organic Artificial Soma

Advanced Functional Materials, EarlyView.
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi, Federico Rondelli, Francesco Torricelli, Federica Velluto, Anna De Salvo, Michele Di Lauro, Luciano Fadiga, Fabio Biscarini   +7 more
wiley   +1 more source

Mixed-mode in-memory computing: towards high-performance logic processing in a memristive crossbar array. [PDF]

Commun Eng
Du N, Polian I, Bengel C, Li K, Chen Z, Zhao X, Hübner U, Chen LW, Liu F, Di Ventra M, Menzel S, Krüger H.   +11 more
europepmc   +1 more source

A New Strategy for Creating Quantum Light Emitters Via Post‐Growth Hydrogen‐Ion Irradiation of III‐V Nanowires

Advanced Functional Materials, EarlyView.
A post‐growth method is demonstrated to realize energy‐tunable quantum emitters in GaAs/GaAsN/GaAs core–multishell nanowires on a Si substrate. By combining the N‐induced bandgap reduction with H‐ion irradiation, the GaAsN potential landscape is engineered, enabling isolated, narrow emission lines that function as single‐photon sources with g(2)(0) ∼ 0.
Akant Sagar Sharma, Paolo De Vincenzi, Nadine Denis, Francesca Santangeli, Riccardo Pallucchi, Harikrishnan Gopalakrishnan, Elena Blundo, Antonio Polimeni, Marco Felici, Fumitaro Ishikawa, Marta De Luca   +10 more
wiley   +1 more source

The inherent adversarial robustness of analog in-memory computing. [PDF]

Nat Commun
Lammie C, Büchel J, Vasilopoulos A, Le Gallo M, Sebastian A.   +4 more
europepmc   +1 more source

Current‐Driven Chirality Detection of Magnetic Textures in Cylindrical Nanowires

Advanced Functional Materials, EarlyView.
Current‐assisted anisotropic magnetoresistance measurements in individual Ni/Au cylindrical nanowires enable detection of vortex chirality near Au segments and selective magnetic reversal in defined wire sections at magnetic fields lower than the propagation field. This approach provides a simple, cost‐effective, and non‐invasive method for probing and
Javier Rial, Alejandro Rivelles, Sofia Caspani, Célia T. Sousa, Rodrigo Guedas, José Luis Prieto, Mariana P. Proença   +6 more
wiley   +1 more source

Analog in-memory computing attention mechanism for fast and energy-efficient large language models. [PDF]

Nat Comput Sci
Leroux N, Manea PP, Sudarshan C, Finkbeiner J, Siegel S, Strachan JP, Neftci E.   +6 more
europepmc   +1 more source