Results 111 to 120 of about 285,105 (265)

Revolutionising Agricultural Sustainability: New ‘Furrow Tillage’ can Mitigate Short‐Term Soil‐to‐Atmosphere CO2 Flux and Promote Soil‐Plant‐Microbe Health

open access: yesAdvanced Science, EarlyView.
Furrow tillage resolves the conventional‐vs.‐no‐tillage trade‐off by simultaneously cutting CO2 efflux to 2.0–3.0 g C m−2 d−1 and unlocking high nutrient availability for the rice rhizosphere. This scalable agronomic solution strengthens soil health, enhances plant physiology, reshapes microbial metabolism, and shifts paddy systems toward a net ...
Arnab Majumdar   +10 more
wiley   +1 more source

Overcoming Interfacial Hurdles in Solid‐State Aluminum Batteries for Safe and Energy‐Dense Storage

open access: yesAdvanced Science, EarlyView.
Solid‐state aluminum batteries (SSABs) promise high energy density and intrinsic safety but face severe solid–solid interfacial challenges. This review reveals the three core hurdles—anode passivation, cathode contact loss, and electrolyte grain boundary resistance and discusses strategies including artificial interphases, alloying, and composite ...
Yunlei Wang   +5 more
wiley   +1 more source

Untangling Inositol (Pyro)Phosphate Biology Through Emerging Technologies

open access: yesAdvanced Science, EarlyView.
Inositol (pyro)phosphates represent a vital class of intracellular messengers that govern multiple biological processes. The last decade has experienced a surge of interest in the functions of this class of signaling molecules, primarily due to the introduction of several innovative analytical technologies.
Adolfo Saiardi   +5 more
wiley   +1 more source

Thematic diversity in CSP

open access: yesCadernos de Saúde Pública, 2022
Marilia Sá Carvalho   +2 more
openaire   +2 more sources

Advancing Energy Materials by In Situ Atomic Scale Methods

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss   +21 more
wiley   +1 more source

Self‐Activating Electrocatalysts for Water Splitting: Advancing Structure–Performance Understanding and Beyond

open access: yesAdvanced Energy Materials, EarlyView.
Self‐activating electrocatalysts offer strong potential for advanced water splitting, enabled by their dynamic compositional and structural evolution during operation. This review highlights recent advances in self‐activating OER and HER catalysts, emphasizing the driving forces and mechanisms underlying their adaptive behavior. A conceptual network of
Christean Nickel   +6 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Donor–Acceptor Covalent Organic Framework Enables Ambipolar Charge Storage in Aluminum‐Ion Energy Storage

open access: yesAdvanced Energy Materials, EarlyView.
A donor–acceptor covalent organic framework is designed as an ambipolar cathode for aluminum‐ion energy storage. The crystalline, microporous architecture enables intrinsic charge transport without conductive additives. Multi‐electron redox activity at donor and acceptor sites supports high capacity, excellent stability, and efficient reversible ...
Cataldo Valentini   +11 more
wiley   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani   +3 more
wiley   +1 more source

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