Results 281 to 290 of about 1,236,533 (310)

Toward Stable, High‐Energy, Partially Disordered Mn‐Rich Spinel Cathodes by Revealing and Mitigating Surface Degradation

open access: yesAdvanced Materials, EarlyView.
Mechano‐activated partially disordered spinel LiMn2O4 is demonstrated with high Mn utilization and a specific energy over 800 Wh kg−1 at the cathode active material (CAM) level. Surface degradation, caused by the Jahn‐Teller effect in baseline commercial carbonate electrolyte (Gen 2), intensifies Mn2+ dissolution and crosstalk at high potentials ...
Dawei Xia   +15 more
wiley   +1 more source

Uni‐Axial Densification of Slurry‐Casted Li₆PS₅Cl Tapes: The Role of Particle Size Distribution and Densification Pressure

open access: yesAdvanced Materials, EarlyView.
Solid‐state batteries promise high energy density and safety for electric vehicles. This study examines the densification of slurry‐casted Li₆PS₅Cl separator tapes, highlighting the role of particle size distribution and uni‐axial pressure. Wet milling refines particles while preserving conductivity, and a critical compaction threshold leads to ...
Quoc‐Anh Tran   +14 more
wiley   +1 more source

Ruddlesden–Popper Defects Act as a Free Surface: Role in Formation and Photophysical Properties of CsPbI3

open access: yesAdvanced Materials, EarlyView.
This work investigates Ruddlesden–Popper (RP) defects in vapor‐deposited CsPbI3 thin films using electron microscopy, density functional theory, and optoelectronic measurements. The atomic positions at the planar defect are found comparable to those of a free surface, revealing their role in phase stabilization.
Weilun Li   +7 more
wiley   +1 more source

Development of decision tree classification algorithms in predicting mortality of COVID-19 patients. [PDF]

open access: yesInt J Emerg Med
Mohammadi-Pirouz Z   +4 more
europepmc   +1 more source

Multitarget Generate Electrolyte Additive for Lithium Metal Batteries

open access: yesAdvanced Materials, EarlyView.
This study presents a deep learning‐assisted generative model for electrolyte additives in lithium metal batteries (LMBs). The approach overcomes data scarcity by proposing the molecular categorization method and achieves 100% generative efficiency.
Xiangyang Liu   +12 more
wiley   +1 more source

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