Results 71 to 80 of about 14,206 (211)

A 3D‐Printed SFE‐Graded Alloy Mitigates Cryogenic Discontinuous Plastic Flow and Hydrogen Embrittlement

open access: yesAdvanced Science, EarlyView.
A novel strategy features gradient composition and stacking fault energy‐tuned (CoCrMn)100‐2xFexNix fabricated via in situ alloying additive manufacturing. This design circumvents cryogenic discontinuous plastic flow and hydrogen embrittlement of metallic materials under quasi‐static loading and hydrogen‐rich environment relevant to lunar polar ...
Renhao Wu   +11 more
wiley   +1 more source

Compound Abrus cantoniensis Extract Alleviates AFB1‐Induced Liver Injury by Regulating PI3K‐AKT Pathway and Gut Microbiota/Butyrate Metabolism

open access: yesAdvanced Science, EarlyView.
ACCE has a good alleviating effect on AFB1‐induced liver injury, and this alleviating effect is related to the PI3K‐AKT pathway regulated by ACCE and the butyrate metabolism of gut microbiota. ABSTRACT Aflatoxin B1 (AFB1) is a potent hepatotoxin commonly ingested through contaminated food. Abrus cantoniensis Hance, a traditional Chinese medicinal herb,
Hongjie Hu   +12 more
wiley   +1 more source

Issues, Challenges, and Solution Options for On-Grid Multi-Microgrid Game Theory: A Systematic Review

open access: yesIEEE Access
Many studies have been conducted on the implementation of game theory approaches in optimizing energy trading and scheduling in multi-microgrid (MMG) systems, both in cooperative and non-cooperative games.
Dimas Jalaluddin Ahmad   +2 more
doaj   +1 more source

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

open access: yesAdvanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou   +34 more
wiley   +1 more source

Characterizing Biopolymer Electrolytes in Zinc–Air Batteries: Challenges, Best Practices, and a Robust Workflow Guiding Future Research Paths

open access: yesAdvanced Energy Materials, EarlyView.
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi   +6 more
wiley   +1 more source

What Really Drives Agri‐Environment‐Climate Measures' Adoption? Mandatory Requirements, Behavioral Traits, and Structural Factors in the CAP Green Architecture

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT To increase farmer adoption of green practices, the EU Common Agricultural Policy includes both mandatory (conditionality) and voluntary instruments (eco‐schemes–ECS– and more demanding, multi‐annual agri‐environment‐climate measures –AECM–). Building on the experiment of Barreiro‐Hurle et al.
L. Sanchez‐Mata   +4 more
wiley   +1 more source

Voluntary Collective Action to Address Growing Agricultural Challenges in Two Countries: Experimental Insights and Commonalities

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT We conducted two framed field economic experiments with citrus farmers in Florida, United States and soybean farmers in Argentina to investigate their willingness to coordinate pest and weed management efforts. Despite the contrast between these two agricultural contexts, we find striking behavioral commonalities.
Ariel Singerman, Sergio H. Lence
wiley   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

open access: yesAdvanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee   +3 more
wiley   +1 more source

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