Results 71 to 80 of about 114 (112)

Intermittent antibiotic exposure of Escherichia coli biofilms drives resistance in catheter-associated infection models. [PDF]

NPJ Biofilms Microbiomes
Yoshii Y, Thiriet-Rupert S, Lebeaux D, Ghigo JM, Beloin C.   +4 more
europepmc   +1 more source

Optical Charge Trap Memory Based on Graphene/ZnO Heterostructures for Long‐Term Retention and Adaptive Learning

Advanced Electronic Materials, EarlyView.
A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin, Junhyung Kim, Hyungdoh Lee, Yixuan Dou, Jacob T. Heiden, Seung Eun Lee, Jinwoo Song, Lina Quan, Giulia Tagliabue, Min Seok Jang, Himchan Cho   +10 more
wiley   +1 more source

Selective Charge Extraction Allows Fast Photomultiplication and Imaging in Rigid and Ultra‐Flexible SWIR Organic Photodiodes

Advanced Energy Materials, EarlyView.
SWIR donor polymer TQ‐3T allows photomultiplication in OPD in 1:1 ratio with NFA Y6, achieving EQEs > 1100% at ‐10 V. Microseconds response times are retained, amongst the lowest for photomultiplication. As proof of concept, we demonstrate ultrathin and flexible PM‐OPDs based on our TQ‐3T:Y6 as a flexible pulse oximeter as well as a conformable image ...
Matilde Brunetta, Zhuoran Qiao, Davide Nodari, Kosei Sasaki, Francesco Furlan, Martina Rimmele, Hongki Kim, Hongting Chen, Yusaku Tagawa, Adam Marsh, Rushil Vasant, Sang Do, Xabier Rodríguez‐Martínez, Anirudh Sharma, Christos L. Chochos, Jaime Martin, Martin Heeney, Koen Vandewal, Derya Baran, Thuc‐Quyen Nguyen, Bob C. Schroeder, Takao Someya, Tomoyuki Yokota, Nicola Gasparini   +23 more
wiley   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source

Molecule by Molecule Characterization of a Polymer Molecular Mass Distribution via Mass Photometry

Angewandte Chemie, EarlyView.
Mass photometry (MP) was utilized to achieve label‐free, molecule‐by‐molecule measurement of the full polymer molecular mass distribution (MMD) of a synthetic polymer without the need for sample fractionation. The ability to elucidate the full MMD in minutes, as opposed to having only specific moments of the MMD acquired in hours via chromatography ...
Rachel Czerwinski, Anna L. Clayborn, Aisley Fleming, Andrew J. Boydston, Aaron H. Hoskins, Randall H. Goldsmith   +5 more
wiley   +2 more sources

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Bridged Pyrroloindole‐CAYC‐Gold Complexes: Harnessing Weak Secondary Intramolecular Au···H−C(sp3) Interactions in Gold(I) Catalysis

Angewandte Chemie, EarlyView.
We present a new class of electronically and sterically hindered N‐heterocyclic carbenes, referred to as bridged cyclic (amino)ylide carbene (bCAYC), where 9H‐pyrrolo[1,2‐a]indole acted as carbene core and diaryl sulfonium as ylide partner. Corresponding bCAYC‐Au(I) exhibits a weak secondary intramolecular Au···H−C(sp3) interaction as a secondary ...
Sourav Sekhar Bera, Anurag Kumar, Pengcheng Gao, Sanghamitra Das, Roger Lalancette, Roman Szostak, Michal Szostak   +6 more
wiley   +2 more sources

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source