Results 201 to 210 of about 137,199 (242)

Bovine serum albumin under the influence of alkali metal halides. [PDF]

open access: yesRSC Adv
Carreón YJP   +5 more
europepmc   +1 more source

Decoding Gas Evolution Pathways and Interfacial Chemistry in Layered Oxide Cathodes for Safer Sodium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Gas evolution behaviors of sodium layered oxide cathodes with varying compositions, cutoff voltages, dopants, and particle sizes/morphologies have been systematically investigated by online electrochemical mass spectrometry. The fundamental outgassing mechanisms of sodium‐based cathodes compared to lithium‐based cathodes have been elucidated.
Chen Liu, Zehao Cui, Arumugam Manthiram
wiley   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

open access: yesAdvanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim   +5 more
wiley   +1 more source

Steam and CO2 gasification of Yallourn coal using iron alkali metal binary catalyst.

open access: bronze, 1988
Toshimitsu Suzuki   +5 more
openalex   +2 more sources

Bio‐Inspired Cascade Photocatalysis on Fe Single‐Atom Carbon Nitride Upcycles Plastic Wastes for Effective Acetic Acid Production

open access: yesAdvanced Energy Materials, EarlyView.
This work demonstrates a novel cascade photocatalysis concept using Fe single‐atom catalysts (Fe@C3N4 SAC) to directly upcycle plastics (PET, PP, PE, PVC) into valuable acetic acid at ambient conditions. Inspired by microbial degradation, the bifunctional cascade photocatalyst combines Fenton‐like oxidation and CO2 photoreduction, as validated by ...
Wei Wei   +21 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

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