Results 151 to 160 of about 152,595 (295)

Insights on SEI Growth and Properties in Na‐Ion Batteries via Physically Driven Kinetic Monte Carlo Model

open access: yesAdvanced Energy Materials, EarlyView.
The novel kinetic Monte Carlo model presented here incorporates spatially‐ and time‐dependent electrical potential, which enables the precise study of the solid electrolyte interphase formation in Na‐ion batteries. The effects of electrolyte composition and charging conditions on the growth and behavior of the solid electrolyte interphase during the ...
Kie Hankins   +4 more
wiley   +1 more source

Atomic Scale Ordering of Liquid Water at a Dynamic Pt(111) Interface Under Electrochemical Conditions Imaged by Electron Holography

open access: yesAdvanced Energy Materials, EarlyView.
High resolution electron holography was used to image the projected electric potential of ordered water layers at the interface to a platinum (111) electrode. The observed reorganization of the water layers upon applying external potentials suggests that the electric potential drop of the electric double layer is mainly carried by the polarization ...
Jonas Lindner   +6 more
wiley   +1 more source

Copper Contact for Perovskite Solar Cells: Properties, Interfaces, and Scalable Integration

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Copper electrodes, as low‐cost, scalable contacts for perovskite solar cells, offer several advantages over precious metals such as Au and Ag, including performance, cost, deposition methods, and interfacial engineering. Copper (Cu) electrodes are increasingly considered practical, sustainable alternatives to noble‐metal contacts in perovskite solar ...
Shuwei Cao   +4 more
wiley   +1 more source

Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs

open access: yesAgribusiness, EarlyView.
ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple   +2 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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