Marine-derived extracts of <i>Peyssonnelia caulifera Okamura</i> and <i>Meristotheca papulosa</i> demonstrate differential efficacy in modulating obesity-related metabolic skewing revealed by integrative analysis of extract metabolomics and microbiome profiles. [PDF]
Feng F +9 more
europepmc +1 more source
Fluoromethylammonium iodide (FMAI) is prepared using a facile procedure through a simple nucleophilic reaction between fluoroiodomethane and ammonia in methanol and tested in n‐i‐p perovskite solar cells. FMA+ cation in combination with FA+ and Cs+ cations affords a power conversion efficiency close to 26% with a long‐term operational stability for ...
Justina Mikuciunaite +13 more
wiley +1 more source
Two novel bonded BN‐doped polycyclic hydrocarbons BN‐Dira and BN‐Tetra with open‐shell character were rationally designed and synthesized. Their molecular structures were unambiguously confirmed by crystallographic analysis. Facilitated by their intense absorption in the NIR region, high PCE (83.6%) and good photothermal stability, BN‐Dira and BN‐Tetra
Peiyun Zeng +7 more
wiley +2 more sources
Hole Transport Layer-Free CsSnI <b><sub>3</sub></b> ‑Based Perovskite Solar Cells with WS <b><sub><sub>2</sub></sub> </b> Electron Transport Layer: Design, Simulation, and Performance Optimization. [PDF]
Uddin R, Duzkaya H.
europepmc +1 more source
CFD modeling and sensitivity‐guided design of silicon filament CVD reactors
Abstract Filament‐based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as an adaptation of planar deposition. But this overlooks fundamental shifts in transport phenomena and reaction kinetics. In filament CVD, the filament acts as a substrate, heat source, and flow disruptor simultaneously. In this work, we ask: What really
G. P. Gakis +8 more
wiley +1 more source
Visual and textual cues in online presentations of natural foods are associated with taste inference and cognitive engagement. [PDF]
Sun L, Wei C, Huang H.
europepmc +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Machine learning prediction of dual absorber lead-free perovskite solar cells for boosting PCE. [PDF]
Elewa S +3 more
europepmc +1 more source
Which Adverse and Positive Childhood Experiences are most Strongly Associated with Young Peoples' Arrests and Convictions? [PDF]
La Charite J +11 more
europepmc +1 more source

