Results 161 to 170 of about 74,200 (309)
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
A feed forward neural network approach for matrix computations [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.A new neural network approach for performing matrix computations is presented. The idea of this approach is to construct a feed-forward neural network (FNN)
Al-Mudhaf, Ali F, Al-Mudhaf, A.F.
core
:A nonlinear adaptive observer was proposed for a class of Lipschitz nonlinear systems with unknown parameters and output uncertainty.Under the condition that the output uncertainty is Lipschitz,the structure of the observer was given.The observer gain ...
邹伟, 刘玉生
doaj
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
Highly Entangled Bottlebrush Polymer Networks
Bottlebrush polymers are difficult to entangle, enabling ultrasoft yet brittle networks. We report highly entangled bottlebrush elastomers that remain ultrasoft (∼1 kPa) yet stretch to ∼1800% and exhibit exceptional fatigue resistance. Their intrinsic fatigue strength—fatigue threshold normalized by modulus—surpasses that of highly entangled linear ...
Myoeum Kim +3 more
wiley +1 more source
A reversible, all‐optical modulation strategy enables resist‐free, sub‐diffraction nanolithography of halide perovskite films. Leveraging 800 nm fs laser‐induced crystallization and 365 nm laser driven decomposition, reconfigurable patterning achieves feature sizes down to 93.5 nm. This chemistry‐free approach offers dynamic control over optoelectronic
Zhengfen Wan +4 more
wiley +1 more source
We report a wearable photonic patch integrating room light‐ and sunlight‐activatable luminescent particles (RSLPs) for both photochemical tissue bonding and photobiomodulation. RSLPs harvest ambient light and emit red luminescence to drive chlorin e6–mediated collagen crosslinking.
Kyungjoo Jo +12 more
wiley +1 more source
Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler +14 more
wiley +1 more source
Giant Anisotropy and High Second‐Order Nonlinearity of 3R‐MoS2 for Multifunctional Photonics
Graphical abstract highlights, 3R‐polytype of MoS2 (3R‐MoS2) as a multifunctional photonic platform enabled by giant optical anisotropy and optical nonlinearities, demonstrating subdiffractional waveguiding, giant second‐harmonic (SH) generation, and high‐performance reflective polarization control.
Georgy Ermolaev +17 more
wiley +1 more source

