Results 91 to 100 of about 20,470,336 (306)

Electro‐Steric Ion Confinement in Polyelectrolyte Networks for Robust Nonvolatile Artificial Synapse

Advanced Functional Materials, EarlyView.
Polyelectrolyte stoichiometry governs ion transport and retention in electrolyte‐gated synaptic transistors. A PSS‐rich network creates electro‐steric ion confinement that suppresses ion back‐diffusion and stabilizes channel doping, enabling robust nonvolatile synaptic memory, linear weight updates, and low‐energy operation.
Donghwa Lee, Jinbo Kim, Myeongjin An, Jisoo Park, Junho Sung, Eunsung Hwang, Suhwan Seok, Seong‐Min Bak, Jeonghun Kim, Eunho Lee   +9 more
wiley   +1 more source

Biogeography and assembly processes of abundant and rare soil microbial taxa in the southern part of the Qilian Mountain National Park, China

Ecology and Evolution
Soil microorganisms play vital roles in regulating multiple ecosystem functions. Recent studies have revealed that the rare microbial taxa (with extremely low relative abundances, which are still largely ignored) are also crucial in maintaining the ...
Zhilin Feng, Na Li, Yanfang Deng, Yao Yu, Qingbo Gao, Jiuli Wang, Shi‐long Chen, Rui Xing   +7 more
doaj   +1 more source

The success of artificial selection for collective composition hinges on initial and target values

eLife
Microbial collectives can perform functions beyond the capability of individual members. Enhancing collective functions through artificial selection is, however, challenging.
Juhee Lee, Wenying Shou, Hye Jin Park
doaj   +1 more source

Solution‐Processed Thin‐Film Transistors With Tunable Temporal Dynamics for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Solution‐processed CNT and CNT/P3HT ion‐gated transistors exhibit materials‐defined synaptic timescales: fast CNT devices for high‐frequency spiking and slow hybrid devices for temporal integration. Embedding these dynamics into coupled reservoir‐computing and spiking neural network simulations reveals that a Hybrid‐Reservoir / CNT‐SNN architecture ...
Kevin Schnittker, Haoyi Lin, Zahra Bahrami, Strahinja Marinkovic, Sung Hyun Lee, Joseph Andrews   +5 more
wiley   +1 more source

Second-order time-variant reliability analysis method based on Hessian matrix approximation

Xibei Gongye Daxue Xuebao
First-order time-variant reliability analysis(TRA) methods have been widely studied in the literature. However, these methods have low accuracy when solving time-variant reliability analysis problems with high nonlinear performance functions.
ZHANG Yunwei, ZOU Nanzheng, ZHAO Xuexuan, LI Chunna   +3 more
doaj   +1 more source

Stochastic process and tutorial of the African buffalo optimization. [PDF]

Sci Rep, 2022
Odili JB, Noraziah A, Alkazemi B, Zarina M.   +3 more
europepmc   +1 more source

Quantum Stochastic Processes [PDF]

, 1985
Let ℬ be *-algebra with identity (usually it wil be a C*- or a W*-algebra). A quantum stochastic process over ℬ indexed by ℝ is defined by a triple {A, (jt)t∈ℝ, φ} where A is a *-algebra with identity. jt : ℬ ↪A is an embedding (t∈ℝ). φ is a State on A.
openaire   +2 more sources

Quantum stochastic processes III [PDF]

Communications in Mathematical Physics, 1970
We investigate properties of a class of quantum stochastic processes subject to a condition of irreducibility. These processes must be recurrent or transient and an equilibrium state can only exist in the former case. Every finite dimensional process is recurrent and it is possible to establish convergence in time to a unique equilibrium state.
openaire   +4 more sources

Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights

Advanced Functional Materials, EarlyView.
This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He, Wenbo Wang, Simon Schweidler, Yanjiao Ma, Ben Breitung, Torsten Brezesinski   +5 more
wiley   +1 more source

π VAE: a stochastic process prior for Bayesian deep learning with MCMC. [PDF]

Stat Comput, 2022
Mishra S, Flaxman S, Berah T, Zhu H, Pakkanen M, Bhatt S.   +5 more
europepmc   +1 more source