Results 231 to 240 of about 386,226 (302)
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
Ice XIX: Configurational Entropy, Disordering Kinetics, Phase Boundary and Isotope Effect
Gasser TM +3 more
europepmc +1 more source
LiF‐rich@LMFP develops a CEI enriched with electronically and ionically insulating LiF that impedes interfacial charge transfer during fast charging. By suppressing interfacial LiF formation, LiF‐less@LMFP accelerates Li+ exchange and lowers overpotentials, delivering 1.6‐fold higher capacity at 5C and ∼87% retention after 100 cycles under practical ...
Bonyoung Ku +10 more
wiley +1 more source
This study establishes an in situ electrochemical framework using dense bulk electrodes to identify defect chemistry and surface kinetics. While oxygen vacancy concentration is derived via bias modulation, surface exchange coefficients are quantified at open circuit voltage conditions to isolate kinetics.
Taeyun Kim +5 more
wiley +1 more source
Embedding imidazolium‐biphosphate ion pairs directly into the polybenzimidazole main chain simultaneously stabilizes phosphoric acid and preserves continuous proton transport pathways. Strong ion‐pair and hydrogen‐bond interactions suppress acid leaching while maintaining high conductivity, enabling stable and durable high‐temperature fuel cell ...
Huina Lin, Brian C. Benicewicz
wiley +1 more source
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando +4 more
wiley +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion
This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
wiley +1 more source
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
Objective To characterize Fc‐glycosylation profiles in patients with anti‐N‐methyl‐D‐aspartate receptor encephalitis (NMDARe) and assess their association with antibody compartmentalization (cerebrospinal fluid [CSF] vs serum), disease triggers (viral, tumor‐related or idiopathic), and 1‐year outcomes.
Laura Marmolejo +16 more
wiley +1 more source

