Results 131 to 140 of about 6,843 (278)

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin   +7 more
wiley   +1 more source

Computing Prominent Skyline on Massive Data

open access: yesData Science and Engineering
In many practical applications, skyline query is an important operation to return the pareto optimal tuples, which provides a candidate set for the optimum.
Xiaolong Wan, Xixian Han, Jinbao Wang
doaj   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee   +3 more
wiley   +1 more source

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning

open access: yesAdvanced Energy Materials, EarlyView.
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil   +4 more
wiley   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

open access: yesAdvanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan   +12 more
wiley   +1 more source

Toward Standardization in CO2 Electrolysis: A Round Robin Study

open access: yesAdvanced Energy Materials, EarlyView.
CO2 electrolysis is a promising green technology for producing fuels and chemicals. To support its real‐world adoption, researchers conducted a collaborative study to identify sources of experimental variability. They found key differences in temperature and pressure control across labs and proposed a standardized testing protocol to improve ...
Dorottya Hursán   +12 more
wiley   +1 more source

Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

open access: yesAgribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Enhancing Sustainability Label Effectiveness Through Logo Design Modification: An Analysis of the EU Green Leaf Logo

open access: yesAgribusiness, EarlyView.
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann   +4 more
wiley   +1 more source

Consumers' Willingness to Pay a Premium for Climate‐Friendly Food Production: The Role of Production Method Information and Social Norms

open access: yesAgribusiness, EarlyView.
ABSTRACT This study examines whether information about production methods and social norms can increase consumers' willingness to pay (WTP) a price premium for food produced using climate‐friendly farming methods. A randomized survey experiment was conducted with 1568 respondents across Denmark, Lithuania, and Spain, who were assigned to one of four ...
Kassa Tarekegn Erekalo   +5 more
wiley   +1 more source

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