Results 31 to 40 of about 322,369 (303)

Multi‐scale Optimization on Interfacial Evaporative Cooling for Photovoltaic Performance Enhancement

open access: yesAdvanced Science, EarlyView.
This study presents a passive siphon‐driven interfacial evaporative cooling technology for photovoltaics. A multiscale multiphysics model is developed and validated experimentally. Results show that optimizing installation parameters reduces operating temperature by up to 22.3 °C and boosts power efficiency by 8.9%, offering a practical pathway for ...
Fuxiang Li   +5 more
wiley   +1 more source

GNSS Meteorology [PDF]

open access: yesTransNav, 2011
GNSS meteorology is the remote sensing of the atmosphere (troposphere) using Global Navigation Satellite Systems (GNSS) to derive information about its state.
Jaroslaw Bosy   +3 more
doaj  

Intra-Annual Variation of Stem Circumference of Tree Species Prevailing in Hemi-Boreal Forest on Hourly Scale in Relation to Meteorology, Solar Radiation and Surface Ozone Fluxes

open access: yesAtmosphere, 2021
(1) Background: Continuous monitoring of the tree stem increment throughout the year is crucial for the understanding of trees’ reactions to changes in meteorology, solar radiation and surface ozone and evaluating the adaptive capacity of prevailing tree
Algirdas Augustaitis
doaj   +1 more source

Long‐Term Ambient Benzene Exposure and Brain Disorders Among Urban Adults: Effect Modification by Genetic Susceptibility and Potential Mediation by Plasma Proteins

open access: yesAdvanced Science, EarlyView.
Low‐level ambient benzene exposure is associated with increased risks of multiple brain disorders in urban adults. Genetic susceptibility modifies these associations, while plasma proteomics points to potential biological pathways linking benzene exposure to adverse brain health.
Jianhui Guo   +10 more
wiley   +1 more source

Sensitivity of Spring Phenology Simulations to the Selection of Model Structure and Driving Meteorological Data

open access: yesAtmosphere, 2021
Accurate estimation of the timing of intensive spring leaf growth initiation at mid and high latitudes is crucial for improving the predictive capacity of biogeochemical and Earth system models.
Réka Ágnes Dávid   +7 more
doaj   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

open access: yesAdvanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu   +6 more
wiley   +1 more source

Evaluating air quality and criteria pollutants prediction disparities by data mining along a stretch of urban-rural agglomeration includes coal-mine belts and thermal power plants

open access: yesFrontiers in Environmental Science, 2023
Air pollution has become a threat to human life around the world since researchers have demonstrated several effects of air pollution to the environment, climate, and society.
Arti Choudhary   +11 more
doaj   +1 more source

Is Meteorology a Science? [PDF]

open access: yesNature, 1877
THE recent article in NATURE on the Treasury Blue Book relating to meteorology brings into unpleasant prominence the opinion of the eminent astronomer, Sir G. Airy, that meteorology is not a science; and the evidence of the eminent physicist, Sir William Thomson, to the same effect; while a celebrated philosopher in the columns of the Fortnightly ...
openaire   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
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

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