Results 121 to 130 of about 766 (260)

Efficient Direct Recycling of Spent Batteries: Integrated Lithiation and Delamination

open access: yesAdvanced Science, EarlyView.
An integrated process for the delamination and relithiation of spent cathodes, LixNi0.6Co0.2Mn0.2O2 and LixFePO4, under open‐air conditions is proposed. The transition‐metal (Ni) oxidation state in the cathode is reduced by the oxidation of diethylene glycol, facilitating relithiation. Glycol aldehyde formation induces 100% electrode delamination.
Jeonghwan Song   +11 more
wiley   +1 more source

When I say … pragmatism. [PDF]

open access: yesMed Educ
Alfakhry G, Sims D, Lindorff A.
europepmc   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

open access: yesAdvanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su   +13 more
wiley   +1 more source

Unveiling a Hidden Conversion Pathway in CoSe2 Anodes via Rationally Designed CNT‐Interwoven Hollow Carbon Microclusters for High‐Performance Potassium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
A rational architectural design of hierarchical, CNT‐interwoven hollow carbon microclusters unlocks and stabilizes a unique monoclinic Co3Se4‐mediated conversion–insertion pathway for potassium storage. This structural confinement effectively guides the reaction kinetics and accommodates severe mechanical strain.
Ho Rim Kim   +8 more
wiley   +1 more source

Toward a relational biodiversity economics: Embedding plural values for sustainability transformation. [PDF]

open access: yesProc Natl Acad Sci U S A
Kenter JO   +10 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

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