Unveiling the poroelastic evolution of agar hydrogels through the drying process. [PDF]
Ed-Daoui A +7 more
europepmc +1 more source
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Toward Efficient Machine Learning Systems with Sampling and Compression.
Thesis (Ph.D.)--University of Washington, 2025The rapid growth of machine learning - in terms of model size, dataset volume, and task complexity - has created significant computational and memory efficiency challenges.
Lin, Chien-Yu
core
Development of a Rapid Compression Controlled-Expansion Machine for Chemical Ignition Studies
The ability to accurately model fuel combustion processes is essential to the development of transportation, power generation, and manufacturing technology. Models describing the kinetics of chemical oxidation are readily available and highly refined for
Neuman, John
core
Dual-Scale Synergistic Design: Oriented Material Stiffness and Deposition Path Planning for Enhanced Performance in Large-Format Additive Manufacturing of Short Carbon Fiber Components. [PDF]
Yang T +7 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
Data compression of Bridge Resilience Control: Algorithm and case analysis. [PDF]
Chen M.
europepmc +1 more source
This work develops polyacrylamide‐alginate (PAM‐Alg) double‐network hydrogel fibers for multimodal perception and intelligent human‐machine interfaces. The covalent‐ionic network provides high strength, toughness, and stable conductivity. Easily woven into wearables and integrated with soft robots, the fibers enable object and temperature recognitions ...
Yujue Yang +10 more
wiley +1 more source
Indagine numerica preliminare della tecnologia "Jet Ignition" in una Rapid Compression Machine
L'elaborato si propone di effettuare un'indagine numerica relativa alla combustione di una miscela metano-aria in una Rapid Compression Machine(RCM). In seguito ad un'analisi di vari meccanismi di cinetica chimica effettuata tramite il software OpenSMOKE+
DE MARTINO, RICCARDO
core
Effect of Processing Technology on the Degradation Behavior of Poly(p-dioxanone) Cog Threads. [PDF]
Li D, Wang Q, Zhang K.
europepmc +1 more source

