Results 191 to 200 of about 29,541 (268)
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
Graph latent diffusion-based molecular representation learning for enhanced generalization in molecular property prediction. [PDF]
Koge D, Ono N, Abe T, Kanaya S.
europepmc +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
Intelligent diagnosis of major depressive disorder with edge convolution and contrastive learning. [PDF]
Long D, Zhu C, Xiong L, Long Z, Dong F.
europepmc +1 more source
Field‐programmed anisotropy imparts material‐level intelligence to soft composites. Magnetic torque dynamics drive magneto‐piezoelectric nanowires from random dispersion into deterministic axial alignment. The resulting hierarchical percolation networks confine electromechanical coupling to specific axes and intrinsically decouple superposed force ...
Yubin Kim +9 more
wiley +1 more source
A physics-informed graph neural network conserving linear and angular momentum for dynamical systems. [PDF]
Sharma V, Fink O.
europepmc +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
Analytically tractable model of synaptic crowding explains emergent small-world structure and network dynamics. [PDF]
Fukushima M.
europepmc +1 more source
Ultralow‐Dispersion Silicon THz Photonic Crystal Interconnects for Multichannel Datalinks
An all‐silicon terahertz photonic crystal waveguide interconnect enables 452 Gbps aggregate data transfer through seven complex‐modulated channels. By revealing the impact of ultralow dispersion on link performance and achieving a record interconnect figure of merit, the work advances centimeter‐scale THz on‐chip communication for future data‐centre ...
Nikhil Navaratna +4 more
wiley +1 more source
Aqueous Zn(II) Salphen metallofibers decorated with PNIPAM undergo reversible, multi‐stimuli‐responsive hierarchical bundling. This higher‐order structuring kinetically stabilizes the otherwise fragile assemblies against dilution, acidic hydrolysis, and transmetallation, enables selective sorting of responsive fibers, and programs hydrogelation at ...
Merlin R. Stühler +5 more
wiley +1 more source

