Results 221 to 230 of about 24,265 (289)

Weakly‐Coordinating Non‐Fluorinated Diluents for Local High‐Concentration Electrolytes in Advanced Lithium Metal Batteries

open access: yesAdvanced Materials, EarlyView.
This perspective critically evaluates non‐fluorinated diluents in local high‐concentration electrolytes, categorizing their solvation behavior, interfacial mechanisms, and sustainability potential to guide future electrolyte design for lithium metal batteries.
Yin Cui   +8 more
wiley   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

open access: yesAdvanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao   +8 more
wiley   +1 more source

Designing Strong, Tough, Fire‐Retardant and Self‐Healing Elastomers with Phosphorus/Nitrogen‐ and Biphenyl‐Containing Segments

open access: yesAdvanced Materials, EarlyView.
By designing a P/N‐ and π–π interacting biphenyl‐containing diol as hard segments but side groups, a strong, tough, fire‐extinguishing and self‐healing elastomer is developed, demonstrating a break strain of ∼2500%, a toughness of 379 MJ/m3 and a tensile strength of 46 MPa, as well as a healing efficiency of 95% (tensile strength) and 99% (break strain)
Yijiao Xue   +11 more
wiley   +1 more source

Programmable Stepwise Heteroepitaxial Growth of Colloidal Crystals With Different Phases

open access: yesAdvanced Materials, EarlyView.
Stepwise heteroepitaxial growth is adapted to colloidal crystal engineering with DNA, enabling face‐centered cubic (fcc) facets to grow on body‐centered cubic (bcc) crystals with 110 facets. This approach tolerates large lattice mismatches, extending heteroepitaxy beyond the limits of conventional atomic systems.
Xiaowei Liu   +9 more
wiley   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

open access: yesAdvanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano   +5 more
wiley   +1 more source

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