Results 101 to 110 of about 7,263,956 (278)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +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
Robust Exponential Stability of Impulsive Stochastic Neural Networks with Leakage Time-Varying Delay
This paper investigates mean-square robust exponential stability of the equilibrium point of stochastic neural networks with leakage time-varying delays and impulsive perturbations. By using Lyapunov functions and Razumikhin techniques, some easy-to-test
Chunge Lu, Linshan Wang
doaj +1 more source
Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley +1 more source
Our work introduces a new framework that fundamentally changes how orientation in bismuth oxyhalide systems is approached. Comprehensive experiments, backed by theoretical models, reveal the pivotal role of halide anions to modify the van der Waals stacking energies required to direct orientation. Our method enables the fabrication of near perfect (001)
Gabriel Aygur +10 more
wiley +1 more source
This paper studies the exponential stability in the mean square of the stochastic complex networks with time-varying coupling under an intermittent dynamic event-triggered control.
Yongbao Wu, Jiayi Bing
doaj +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
We report perovskite photodetectors with record specific detectivities exceeding 1013 Jones with a novel molecular design strategy to functionalize self‐assembled monolayers (SAMs) with ferrocene (Fc) derivatives. Fc‐SAM‐based devices also exhibit strong operational stability and enable data transmission rates exceeding 1 Mbps in a LiFi system ...
Edoardo Angela +10 more
wiley +1 more source
Efficient in‐Plane Exciton Transport in a Discontinuous Layered Lead‐Bromide Perovskite
A new class of two‐dimensional lead‐bromide perovskite based on monovalent 4‐aminomethylbenzoic acid cations is presented, featuring a discontinuous inorganic layer. Despite the discontinuous lattice, transient photoluminescence microscopy demonstrates efficient though strongly anisotropic in‐plane exciton transport.
Raquel Utrera‐Melero +9 more
wiley +1 more source
Helicity‐Defined Analog Conductance States in Chiral Perovskite Synapses
Chiral perovskite synapses convert the handedness of circularly polarized light into persistent analog memory during electrical programming. An optimized n = 3 structure combines strong helicity selectivity with low read noise, enabling 72 distinct conductance levels.
Min Jong Lee +16 more
wiley +1 more source

