Results 151 to 160 of about 97,752 (301)
Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley +1 more source
Sources of uncertainty in vicarious calibration: understanding calibration target reflectance
A field experiment investigated the hypothesis that the nadir reflectance of calibration surface substrates (asphalt and concrete) remains stable over a range of time-scales.
Milton, E.J., Anderson, K., Rollin, E.M.
core +1 more source
Green‐engineered BiNPs&PEI N‐GQDs enable dual‐emission p‐Si Schottky photodetectors with strong photoresponse, long‐term stability, and a simple scalable fabrication strategy, offering a promising route for sustainable optoelectronic and photosensing applications.
Zeynep Berktaş +6 more
wiley +1 more source
Carbazole ammonium molecule treatment on PEDOT:PSS hole transport layer endows improved tin‐lead perovskite crystallization and interface transport for near‐infrared LED devices. ABSTRACT Incorporating tin (Sn) and lead (Pb) into metal halide perovskites is an effective strategy for reducing bandgap energy, enabling applications in the near‐infrared ...
Jiale Chen +9 more
wiley +1 more source
Herein, electron mobility of the n‐type layer is demonstrated to be a key parameter governing detection performance in CQD‐APDs through a comparative study of ZnO nanoparticles (NPs) and ZnO sol–gel (S‐G). The incorporation of ZnO NPs with high electron mobility facilitates efficient extraction of photogenerated electrons, thereby achieving improved ...
Changjo Kim, Byeongsu Kim
wiley +1 more source
To irradiate or not to irradiate—that is the question
openaire +3 more sources
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
Adopting a scalable hybrid two‐step deposition process route, textured perovskite/silicon tandem solar cells achieve over 30% power‐conversion efficiency. The process route replaces all non‐scalable spin‐coating steps, including organic precursor deposition, self‐assembled monolayer formation, and passivation layer deposition, with scalable techniques ...
Raphael Pesch +16 more
wiley +1 more source
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang +3 more
wiley +1 more source
Isolated Sn sites on Cu(111) induce a highly asymmetric charge distribution, which promotes water dissociation, accelerates key intermediate hydrogenation, and suppresses competing hydrogen evolution. As a result, SnCu111 delivers NH3 Faradaic efficiencies above 90% over an 800 mV potential window and enables stable direct solar power‐driven NH3 ...
Xiaokang Wang +8 more
wiley +2 more sources

