Results 211 to 220 of about 23,077 (281)

Designed Lewis Acid–Base Passivation for High Performance Perovskite Solar Cells

Advanced Functional Materials, EarlyView.
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, Hiba Shahulhameed, Bhabani Sankar Swain, Shengzhong (Frank) Liu, Adel Najar   +4 more
wiley   +1 more source

Reinforcement Learning for Secure Semantic LEO Satellite Networks: Joint Fidelity-Secrecy Power Allocation. [PDF]

Sensors (Basel)
Zhou F, Zhu X.
europepmc   +1 more source

Microfabricated Anisotropic Myobundles for the Scalable Production of Cardiac Tissue Grafts

Advanced Functional Materials, EarlyView.
Controlling the anisotropy of cardiac tissue remains an outstanding challenge in the field of cardiac tissue engineering. Here, we introduce an approach to generate anisotropic cardiac myobundles using cell‐adhesive, synthetic, electrospun fibers and stem cell‐derived cardiac fibroblasts.
Maggie E. Jewett, Javiera Jilberto, Margaret E. Stanley, David O. Ntim, Siddhi M. Bhirud, Avianna T. Schroeder, Gonzola X. Anyosa Galvez, Jingyi Xia, Samuel J. DePalma, Emmanouil Agrafiotis, Susan S. Xi, Amanda S. Bluem, Courtney M. Lestock, Adam S. Helms, David A. Nordsletten, Brendon M. Baker   +15 more
wiley   +1 more source

DT-aided resource allocation via generative adversarial imitation learning in complex cloud-edge-end scenarios. [PDF]

Sci Rep
Zhang X, Xin M, Li Y, Fu Q.
europepmc   +1 more source

Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review

Advanced Functional Materials, EarlyView.
Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera, Chiranjeevi Kanike, Appurva Tiwari, Hongyan Wu, Larry D. Unsworth, Ben Bin Xu, Xuehua Zhang   +6 more
wiley   +1 more source

Gender, status, and team interaction: A microdynamic exploration of wearable sensor data across 11 research groups. [PDF]

PLoS One
Müller J, Uzaheta A, Piñón JS.
europepmc   +1 more source

Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights

Advanced Functional Materials, EarlyView.
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, Wenbo Wang, Simon Schweidler, Yanjiao Ma, Ben Breitung, Torsten Brezesinski   +5 more
wiley   +1 more source

Enhanced grid stability of DFIG-based wind systems through intelligent reactive power coordination using machine learning-based control. [PDF]

Sci Rep
Borah B, Rajak MK, Banerjee A, Pudur R, Deepa SN.   +4 more
europepmc   +1 more source

A Dual‐Functional Electrolyte Additive for Highly Reversible Zinc‐Ion Batteries

Advanced Functional Materials, EarlyView.
This study introduces tetrabutylammonium bromide (TBAB) as a dual‐function additive for aqueous zinc‐ion batteries. TBAB disrupts the hydrogen‐bond network of water while TBA+ adsorbs on Zn to improve interfacial wettability and regulate Zn2+ flux, resulting in suppressed dendrite growth and parasitic reactions. This synergy extended the lifespan of Zn|
Shirui Zhang, Shixun Wang, Jianen Zhang, Jun Liu, Jinfeng Xie, Wentao Tang, Li Guan, He Huang, Qi Xue, Chunyi Zhi   +9 more
wiley   +1 more source

Intelligent decision-making for mine ventilation systems based on graph neural network and deep reinforcement learning fusion. [PDF]

Sci Rep
Zhang K, Yang X, Li H.
europepmc   +1 more source