Results 121 to 130 of about 1,500,046 (301)
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son +20 more
wiley +1 more source
Photo‐synaptic Memristor Devices from Solution‐processed Ga2O3 Thin Films
Hardware integration with biological synaptic function is the key to realizing brain‐like computing. Resistive Random Access Memory (RRAM), with a similar structure to biological synapses, are important candidate for the simulation of biological synaptic
Wei Wang +8 more
doaj +1 more source
Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs [PDF]
Kretzberg J, Sejnowski T, Warzecha A-K, Egelhaaf M. Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs. Neurocomputing.
Egelhaaf, Martin ; https://orcid.org/ +3 more
core +1 more source
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
Device-Algorithm Co-Optimization for an On-Chip Trainable Capacitor-Based Synaptic Device with IGZO TFT and Retention-Centric Tiki-Taka Algorithm. [PDF]
Won J +18 more
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Nano-scale single layer TiO2-based artificial synaptic device
gul, fatih/0000-0001-5072-2122Synaptic nano-electronic devices for brain-inspired computing have become increasingly popular because of their biological neuron-like properties such as massive parallelism with lower power consumption.
Gül, Fatih
core +1 more source
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae +13 more
wiley +1 more source
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung +9 more
wiley +1 more source
Tailoring Dynamic Synaptic Plasticity in FeTFT Optoelectronic Synapse for Associative Learning
Neuromorphic hardware with dynamic synaptic plasticity presents fascinating applications in advanced artificial intelligence. However, the development of low‐cost, CMOS (Complementary Metal‐Oxide‐Semiconductor)‐compatible, and dynamically tunable ...
Peng Yang +10 more
doaj +1 more source

