Results 141 to 150 of about 467,105 (268)
Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications
Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa +6 more
wiley +1 more source
A memorized multi-objective Sinh-Cosh optimizer for solving multi-objective engineering design problems. [PDF]
El-Nagar D, Zeidan I, Issa M.
europepmc +1 more source
This work provides a novel interpretation of the nitrate reduction mechanism on iron oxides (FeOx) by employing constant‐potential density functional calculations and reports the design and synthesis of a robust and high‐performance Fe3O4/Fe‐N4‐C catalyst with remarkable Faradaic efficiency, current density, and stability under practical reaction ...
Qiang Zhou +8 more
wiley +1 more source
Based on binary evolution operator-enhanced black-kite algorithm with natural replacement for engineering numerical optimization problems. [PDF]
Sun H, Tang N, Li Z, Chen H.
europepmc +1 more source
Hydrocarbon membranes are a greener alternative to PFSA in PEM fuel cells, but degrade rapidly from radical attack. We present a novel strategy using poly(vinylphosphonic acid) (PVPA) as a local radical scavenger. Incorporated as an interfacial barrier, PVPA enhances chemical stability and significantly extends membrane lifetime under accelerated ...
Hendrik Sannemüller +6 more
wiley +1 more source
Science competition-driven teaching optimization for mining engineering. [PDF]
Li X +6 more
europepmc +1 more source
Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann +8 more
wiley +1 more source
Critical evaluation of the theory and practice of feed-forward neural networks for genomic prediction. [PDF]
Kusmec A, Negus KL, Yu J.
europepmc +1 more source
Materials exist that are useful for gamma scintillation, radiation shielding, neutron‐gamma pulse shape discrimination (PSD), thermal neutron detection, or high refractive index applications. While certain materials have exhibited optimal performance for each of these applications, none achieve multiple functions.
Isabelle Winardi +13 more
wiley +1 more source
An Improved Red-Billed Blue Magpie Optimization for Function Optimization and Engineering Problems. [PDF]
Han C, Zhang T, Han H, Dai W, Wu W.
europepmc +1 more source

