Neuroscience-Inspired Deep Learning Brain-Machine Interface Decoder. [PDF]
Ou HY +3 more
europepmc +1 more source
3D Printing Innovations in Polymeric Porous and Patterned Architecture
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil +13 more
wiley +1 more source
Manifold topological deep learning for biomedical data. [PDF]
Liu X +5 more
europepmc +1 more source
Designed Lewis Acid–Base Passivation for High Performance Perovskite Solar Cells
ABSTRACT Silicon's high cost and long energy payback time remain major barriers to the global expansion of solar power. In contrast, metal–halide perovskites offer abundant, solution‐processable absorbers, and have achieved efficiencies of 25%–30%, positioning them as strong competitors to silicon.
Afna Manaf +4 more
wiley +1 more source
Deep learning for genomic insights into athletic performance in sports education. [PDF]
Dong B, Lv Q.
europepmc +1 more source
Electro‐Steric Ion Confinement in Polyelectrolyte Networks for Robust Nonvolatile Artificial Synapse
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 +9 more
wiley +1 more source
Predictions from deep learning propose substantial protein-carbohydrate interplay. [PDF]
Canner SW, Schnaar RL, Gray JJ.
europepmc +1 more source
Solution‐Processed Thin‐Film Transistors With Tunable Temporal Dynamics for Neuromorphic Computing
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 +5 more
wiley +1 more source
Supervised deep learning with gene functional annotation for cell classification. [PDF]
Lin Z, Gao Y, Sun W.
europepmc +1 more source
Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights
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 +5 more
wiley +1 more source

