Results 221 to 230 of about 4,000,497 (331)

Defect Engineering via Vacuum Annealing: Precise Selenium Vacancy Control for High‐Performance InSe Photodetectors

open access: yesAdvanced Electronic Materials, EarlyView.
A low‐temperature and high‐vacuum annealing strategy precisely tunes ultrathin InSe device properties. It induces effective n‐type doping in InSe, enhancing mobility and photoresponsivity by one to two orders of magnitude. XPS analysis confirms that the controlled generation of Se vacancies (VSe) drives these enhancements by modulating charge transport
Yi Liu   +9 more
wiley   +1 more source

Correlating the Photoshunt with Charge‐Collection Losses in Organic Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Quantifying charge extraction losses in organic solar cells is crucial for understanding the origin of power losses and, consequently, for improving the performance. An analytical framework is presented that utilizes a readily available observable photoshunt and its correlation with light intensities for evaluating charge transport properties of a ...
Eunchi Kim   +2 more
wiley   +1 more source

Impact of Trap Depth on the Steady‐State and Transient Photoluminescence in Halide Perovskite Films

open access: yesAdvanced Energy Materials, EarlyView.
The presence of shallow traps in halide perovskites is frequently postulated by density functional theory calculations. This review studies the implications of recombination‐active shallow traps on steady‐state and transient recombination kinetics. How to identify shallow traps and how the depth of the traps and their density are reflected in different
Jürgen Hüpkes   +2 more
wiley   +1 more source

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

open access: yesAdvanced Energy Materials, EarlyView.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

Investigating the wave profiles to the linear quadratic model in mathematical biology. [PDF]

open access: yesSci Rep
Younas U   +5 more
europepmc   +1 more source

Quantifying the land‐use change due to soybean‐based biodiesel in the United States

open access: yesApplied Economic Perspectives and Policy, EarlyView.
Abstract We quantify the impact of soybean oil‐based biodiesel production on US cropland, using a method that accounts for the intermediate effect of soybean crushing facilities. Based on U.S. Environmental Protection Agency data for biodiesel production and proprietary data for soybean crushing facilities over 2011–2020, we find that the elasticities ...
Ruiqing Miao   +5 more
wiley   +1 more source

2023–2027 CAP First Pillar Reform and Livestock Sector: Production and Economic Impacts on Italian Specialized Dairy Cattle Farms

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT The present study uses an agroeconomic supply model to assess the impacts of 2023–2027 CAP on Italian specialized dairy cattle farms. The model considers the voluntary choice of Eco‐Scheme 1, specifically addressed to livestock farms, through the implementation of binary variables.
Davide Dell'Unto, Raffaele Cortignani
wiley   +1 more source

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