Results 171 to 180 of about 5,942 (312)

Verification and Mitigation of Proton‐Induced Non‐Ionizing Damage in Perovskite Solar Cells for Space Applications

Advanced Energy Materials, EarlyView.
Metal‐halide perovskite solar cells offer high‐efficiency power for orbital missions but suffer from permanent proton‐induced degradation. This work identifies non‐ionizing energy loss (NIEL) as the primary driver of irreversible failure, inducing atomic displacements and microcracks in the high‐fluence regime. Through energy‐tuned mapping and scalable
Jangwon Byun, Sung‐Pil Yoon, Beomjun Park, Sung‐Jun Park, Dong Hoe Kim, Sunwoo Kim, Jin‐Wook Lee, Sangwook Lee, Hyun Suk Jung, Nam‐Gyu Park, Man‐Jong Lee   +10 more
wiley   +1 more source

Optimized control, and experimental validation of a novel multi-stage parabolic trough collector for solar water heating systems. [PDF]

Sci Rep
AbdelFatah RT, Shalaby R, Fahim IS, Kasem MM.   +3 more
europepmc   +1 more source

Surface Acidity Engineering: From Fundamental Insights to Universal Design Rules for Electrocatalytically and Electrically Active Oxides

Advanced Energy Materials, EarlyView.
This comprehensive review highlights surface acidity engineering as a versatile strategy to modulate surface charge and boost catalytic performance in functional oxides. It explores recent advances in practical implementation, structural reconstruction approaches, and mechanistic origins from diverse complementary viewpoints.
Gyu Rac Lee, Harry L. Tuller
wiley   +1 more source

Rediscovering Sodium Ionophores as Selective Agents for Lithium Recognition and Extraction

Angewandte Chemie, EarlyView.
Long‐classified sodium ionophores unexpectedly prefer lithium and act as efficient extractants in solid–liquid extraction (SLE). Readily prepared from catechol and haloacetamides, these hosts recover hydrated LiCl from multicomponent salt mixtures via a hydration‐assisted O···Li+ binding mode, enabling scalable lithium separation with Li/Na, Li/K, and ...
Jakub Narodowiec, Aleksandra Kazimierczak, Małgorzata Grela, Magdalena Ceborska, Magdalena Matczuk, Maja Morawiak, Kajetan Dąbrowa   +6 more
wiley   +2 more sources

Toward a Sustainable Energy Production System Based on Concentrated Solar Power Plants: Social and Water Availability Issues. [PDF]

ACS Sustain Chem Eng
Luceño-Sanchez JA, Martin M, Macchietto S.   +2 more
europepmc   +1 more source

Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union

Advanced Energy and Sustainability Research, EarlyView.
This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa, Silvia Bobba, Cynthia E. L. Latunussa, Enrica Leccisi   +3 more
wiley   +1 more source

Experimental comparative analysis of solar thermal and photovoltaic integrated vapor absorption refrigeration systems for low-GWP sustainable cooling under tropical conditions. [PDF]

Sci Rep
Selvaraj DA, Nadimuthu LPR, Victor K, Al Bustanji S, Panchyk M.   +4 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Building-integrated solar water disinfection system for reliable year-round drinking water safety. [PDF]

NPJ Clean Water
Pretorius M, Jeon I, Martínez-Fausto MM, Novelli N, Arevalo JLG, Ryberg E, Derby MM, Kim JH, Dyson A.   +8 more
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source