Results 201 to 210 of about 735,723 (244)
Halide Perovskite: A Rich Source of Thermal Insulator
Halide perovskites exhibit ultralow thermal conductivity driven by intrinsic lattice softness and strong anharmonicity, falling below conventional defect‐engineering limits. Weak metavalent bonding, A‐site rattling, and dynamic octahedral tilting drive phonon scattering to the Ioffe–Regel limit, where wave‐like tunneling replaces particle‐like ...
Haolin Ye +3 more
wiley +1 more source
Cartilage injury promotes local fibrinogen deposition, which accelerates monosodium urate crystallization and activates integrin‐mediated matrix‐degradation. This self‐amplifying cycle drives gout‐related cartilage erosion. Disrupting fibrinogen deposition or restoring the cartilage barrier could interrupt this vicious cycle.
Hanlin Xu +7 more
wiley +1 more source
This work visualizes local variations in luminescence and relates them to nanoscale chemical inhomogeneities in single InxGa1−xN quantum wells. We demonstrate that the elemental segregation is only inherent to quantum wells with high indium content. Density functional theory shows this to be the result of strain‐induced phase stabilization, explaining ...
Jing‐Yang Chung +12 more
wiley +1 more source
Operando gas diagnostics reveal a previously unrecognized chemical activation (CA) stage during thermal runaway in lithium‐ion batteries. A physics‐informed gas generation kinetics network (GGKNet) is developed to reconstruct reaction pathways and physical models automatically.
Jiabo Zhang +6 more
wiley +1 more source
Chiral plasmonic printing uses CPL as a chiral stimulus to guide asymmetric Ag deposition on chiral Au NRs seeds. Under CPL, hot carriers reduce Ag+, and the process is controlled by both the CPL handedness and the chiral SPR. L‐dc Au generates more hot electrons under LCP than RCP, while D‐dc Au shows the opposite, revealing chiral photon‐selective ...
Yaxin Cao +6 more
wiley +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
StackingNet: Collective Inference Across Independent AI Foundation Models
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source
A “reinforced concrete” structural aerogel with directional microchannels is engineered for rapid uranium capture. The interconnected architecture enables ultrafast water permeation, and the nanowire reinforcement yields a 70‐fold increase in mechanical strength.
Ze Liu +8 more
wiley +1 more source
Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun +9 more
wiley +1 more source
Continuous‐Flow Microfluidic Synthesis Enhances C2+ Selectivity for Cu2O Catalysts
Microfluidic devices are used to prepare Cu2O nanoparticles under laminar flow conditions, which exhibit enhanced selectivity in the CO2‐to‐C2+ reaction due to their nanoporosity and high defect concentration. Cu2O prepared using standard solution methods displays decreased CO2‐to‐C2+ selectivity due to the absence of similar properties. Altogether, we
Carlota Casas +16 more
wiley +1 more source

