Results 201 to 210 of about 120,811,929 (257)
Forming‐free epitaxial Pt/La0.5Sr0.5CoOx (LSCO)/La0.5Sr0.5MnO3 (LSMO) memristors exhibit heterogeneous and partially reversible topotactic switching involving brownmillerite (BM)‐, Grenier (GN)‐like‐, and perovskite (PV)‐like configurations. Atomic‐resolution scanning transmission electron microscopy and in situ transmission electron microscopy resolve
Zi‐Qin Hong +5 more
wiley +1 more source
Fully analog iteration for solving matrix equations with in-memory computing. [PDF]
Li J +11 more
europepmc +1 more source
3D‐Printed Gradient Shape‐Memory Strain Sensors With Rewritable Gauge Factors
A 3D‐printed shape‐memory strain sensor combines thermomechanical programming with gradient architectural design. Preset strain rewrites the gauge factor (GF), while the gradient geometry amplifies the response through strain redistribution. Reprogrammable sensitivity enables the same sensor to detect weak pulse signals and monitor large‐amplitude ...
Xuan Zhang +10 more
wiley +1 more source
CMOS-compatible flash-gated thyristor-based neuromorphic module with small area and low energy consumption for in-memory computing. [PDF]
Ko J +7 more
europepmc +1 more source
Magneto‐Ionic Devices With Polymer‐Based Electrolytes
Polymer electrolytes are introduced for magneto‐ionic devices based on hydroxide and hydrogen ions. The magneto‐ionic effect results in a pronounced voltage‐controlled variation of coercivity in both devices. The switching speed is in the range of 100 ms.
Markus Gößler +3 more
wiley +1 more source
Further advances in applications can be anticipated through the development of unique and functional materials beyond conventional alloys. Nitrogen enables tailor‐made orbital textures in various transition‐metal hosts, paving the way for devices ranging from spintronics memory to artificial intelligence hardware.
Prabhat Kumar +3 more
wiley +1 more source
Deep Bayesian active learning using in-memory computing hardware. [PDF]
Lin Y +5 more
europepmc +1 more source
GeS as an Emerging OTS Material: Atomic Structure and Modeling of ON/OFF Switching
The structural puzzle of glassy GeS, an advanced memory‐selector material, has finally been disentangled, revealing a patchwork of mixed tetrahedral and trigonal species. Under a high electric field, over‐ and under‐coordinated Ge and S defects, together with three‐membered rings, form an interconnected network associated with localized and extended ...
Andrey Tverjanovich +13 more
wiley +1 more source
Emerging 2D Ferroelectric Devices for In-Sensor and In-Memory Computing. [PDF]
Chen C, Zhou Y, Tong L, Pang Y, Xu J.
europepmc +1 more source
Neuromorphic devices for extreme environments are interpreted through the physical states that store and process information. Radiation, temperature extremes, and vacuum can perturb vacancies, filaments, trapped charges, polarization, interfaces, and readout signals.
Taehyun Park +7 more
wiley +1 more source

