Results 211 to 220 of about 3,677,756 (391)
Advanced Science, EarlyView.This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li +7 more
wiley +1 more source
“Us Two Together”. Creating an Autobiographical Visual Narrative about Dementia
, 2017 Eva Cardon
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Two‐Dimensional Triferroics: From Fundamental Couplings to Multifunctional Applications
Advanced Science, EarlyView.This graphic summarizes the three main types of currently reported 2D triferroic couplings. From the structural perspective, existing systems can be broadly classified into two categories, which exhibit distinct symmetry features and coupling behaviors. Beyond the lattice difference, a third type involves the interplay among ferroelectricity, magnetism,
Yang Li, Jialin Gong, Zhiqing Li
wiley +1 more source
Beyond the Gaze. Future of theories of perception and representation with regard to Laura Mulvey’s psychoanalysis of looking in the article Visual Pleasure and Narrative Cinema. [PDF]
, 2019 Iwona Kościelecka
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Advanced Science, EarlyView.The general strategy for constructing proton–electron dual‐transport‐channel photocatalysts (hollow Co3S4/Sv‐chalcogenide/Ti3C2 nanoreactors) is developed. Theses ternary‐component nanoreactors feature dynamic hydrogen‐bonding nanonetworks as proton‐transport channels and asymmetric dual‐interface BIEFs as electron‐transport channels, serving as a ...
Yi‐Wen Han +7 more
wiley +1 more source
Executive Function Costs of Fantastical Interference in Narrative Comprehension: A Response to Lillard's (2026) Commentary. [PDF]
Dev SciHinten AE, Imuta K.
europepmc +1 more source
Advanced Science, EarlyView.This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang +6 more
wiley +1 more source