Results 181 to 190 of about 6,441,961 (279)
This review surveys organic electrochemical transistors as core building blocks for energy‐autonomous bio‐integrated electronics. We outline device physics, OMIEC materials, and electrolyte effects that enable sub‐volt, high‐gain operation, and discuss direct coupling with mechanical, thermal, and optical energy harvesters to realize battery‐free ...
Jonggeun Park +3 more
wiley +1 more source
AdaK: adaptive KV cache budget estimation framework for analyzing long-context large language model inference. [PDF]
Shao T.
europepmc +1 more source
Atomic‐Scale Mechanisms of Anisotropic Thermal Decomposition in GeSn Alloys With Stepwise Pinning
Combining in situ TEM with DFT calculations, this work elucidates atomic‐scale anisotropic thermal decomposition in GeSn films, identifying laminar receding in defect‐free regions and stepwise pinning at stacking faults. Driven by crystallographic anisotropy and defect‐mediated energetic penalties, these findings establish a physical framework for ...
YiXin Wang +6 more
wiley +1 more source
Bridging Economic Efficiency and Perceived Fairness: A New Framework for Collaborative Disaster Material Reserves. [PDF]
Wang F, Feng Y.
europepmc +1 more source
Selector integration enables scalable memristor crossbar arrays by suppressing sneak‐path currents and improving array selectivity. This review summarizes integration strategies, device requirements, challenges, and opportunities for high‐density memory, compute‐in‐memory, and neuromorphic computing systems.
Zohreh Hajiabadi +3 more
wiley +1 more source
SABER-BIM: A Component-Level Adaptive Lightweighting Framework for Digital Twin BIM Models. [PDF]
Yang Z +3 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Optimizing Drug Procurement Using ABC-VEN: A Narrative Review and Conceptual Framework. [PDF]
Heryanto D, Amalia E, Kautsar AP.
europepmc +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Benchmarking Quantum Solvers in Noisy Digital Simulations for Financial Portfolio Optimization. [PDF]
Shen R, Hao Z, Lee CH.
europepmc +1 more source

