Results 71 to 80 of about 13,497 (217)
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
We prove a global existence and uniqueness result for the solution of a mixed stochastic functional differential equation driven by a Wiener process and fractional Brownian motion with Hurst index H > 1/2.
Toufik Guendouzi, Soumia Idrissi
doaj +2 more sources
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
Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández +15 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
From Payload‐First Toward Dual‐Mechanism Antibody–Drug Conjugates
Conjugation converts potent antibodies into underexposed carriers. This perspective defines the antibody exposure deficit and maps a mechanism‐first design space from payload‐first to antibody‐first ADC architectures, integrating DAR, linker chemistry, and Fc engineering to guide rational design of constructs that balance targeted cytotoxicity with ...
Xavier Pivot +3 more
wiley +1 more source
Atomic‐Scale Detection of Néel Vector Switching in the Single‐Layer A‐Type Antiferromagnet Cr2S3‐2D
Interfacial electron donation from graphene redistributes charge within single‐layer Cr2S3‐2D, preferentially accumulating at the lower Cr/S plane. The resulting minute magnetic imbalance lifts the equivalence of the two magnetic sublayers, enabling atomic‐resolution identification and field‐induced control of Néel‐vector states in a two‐dimensional A ...
Affan Safeer +11 more
wiley +1 more source
Mg─Te chalcogenides address the leakage scaling trade‐off in ultrathin selector‐only memory. Structural partitioning in multiphase Mg─Te, combined with highly ionic Mg─Te bonding and Hf interfacial engineering, supports reliable 5 nm thickness operation at low write voltage with suppressed leakage current, narrow threshold voltage distributions, 10 ns ...
Yoori Seo +5 more
wiley +1 more source
The primary objective of this study is to identify the criteria under which a unique μ-pseudo almost automorphic solution can exist for a stochastic functional differential equation with Stepanov forcing terms.
Zhonghua Wu
doaj +1 more source
Dynamic mechanical loading of outer meniscus fibrochondrocytes increases extracellular vesicle (EV) yield and alters EV composition. When applied to progenitor cells, these mechanically primed EVs modulate the expression of matrix‐related genes.
Catherine Cheung +6 more
wiley +1 more source

