Results 91 to 100 of about 75,314 (264)

Decoupling the Size and Loading Effects in Silver Nanoparticles for Efficient Paired Carbon Dioxide and Formaldehyde Electrolysis

Advanced Functional Materials, EarlyView.
We investigate size‐dependent CO selectivity on Ag nanoparticles, where optimized Ag loading achieves nearly 100% Faradaic Efficiency for CO at −100 mA·cm−2. In situ SERS and XPS reveal the crucial role of optimized loading in catalytic performance. The Ag/C catalyst further exhibits bifunctional activity, enabling efficient electrolysis of CO2 and ...
Venkata S. R. K. Tandava, Clara Große, Debabrata Bagchi, Zhenye Zhu, Suptish Ghosh, J. Niklas Hausmann, Carsten Walter, Rosario Suarez Anzorena, Catalina Elena Jimenez, Yasmin Lucero Cobos‐Becerra, Jack C. Q. Fletcher, Tobias Sontheimer, Michael Schwarze, Holger Dau, Matthias Driess, Marcus Bär, Prashanth W. Menezes   +16 more
wiley   +1 more source

Sub‐1 ms Optoelectronic Synapse Based on {ZnCdO/ZnO} Multilayer Structure for High‐Speed Neuromorphic Vision Systems

Advanced Functional Materials, EarlyView.
Eu‐doped {ZnCdO/ZnO} structures grown on Si are developed, showcasing dual‐functionality controlled by europium doping. While high europium concentration transforms the device into an ultrafast, self‐powered photodetector, low‐doped structures can be used as an optoelectronic synapse.
Igor Perlikowski, Eunika Zielony, Adrian Kaim, Ewa Przeździecka   +3 more
wiley   +1 more source

Biodegradable 3D‐Printable and Coatable Antifouling Composites for Marine Applications

Advanced Functional Materials, EarlyView.
Marine biofouling damages submerged surfaces and raises greenhouse gas emissions. Biodegradable antifouling biocomposites were developed by hot‐mixing beeswax, Tween 80, and calcium stearate or stearic acid. Adjusting the component ratio enables processing via hot‐pressing, 3D‐printing, or dip‐coating.
Gabriele Corigliano, Lorenzo Ravelli, Martina Nardi, Ruowen Tu, Elena Bellini, Valerio Isa, Carlo Filippeschi, Roberta Finazzi, Luca Ceseracciu, Niloofar Paknezhad, Vincenzo Scribano, Paolo Galli, Silvia Lavorano, Simone Montano, Barbara Mazzolai, Marco Contardi, Pietro Cataldi, Athanassia Athanassiou   +17 more
wiley   +1 more source

Promoting fairness in link prediction with graph enhancement

Frontiers in Big Data
Link prediction is a crucial task in network analysis, but it has been shown to be prone to biased predictions, particularly when links are unfairly predicted between nodes from different sensitive groups. In this paper, we study the fair link prediction
Yezi Liu, Hanning Chen, Mohsen Imani
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Allowing repeat winners [PDF]

Judgment and Decision Making, 2010
Unbiased lotteries seem the least unfair and simplest procedures to allocate scarce indivisible resources to those with equal claims. But, when lotteries are repeated, it is not immediately obvious whether prior winners should be included or excluded. As
Marco D. Huesch, Richard Brady
doaj  

n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz

Advanced Materials, EarlyView.
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis, Filip Aniés, Yiyang Yu, Mohammed Ghadiyali, Hendrik Faber, Zhanibek Bizak, Youssef Kabri, Pavlos Tzourmpakis, Suman Mandal, Linqu Luo, Temur Maksudov, Mohamad Insan Nugraha, Harold F. Mazo‐Mantilla, Patrice Vanelle, Julie Broggi, Khaled N. Salama, Udo Schwingenschlögl, Martin Heeney, Atif Shamim, Thomas D. Anthopoulos   +19 more
wiley   +1 more source

Correlated Charge Transport in an Organic Coulomb Glass

Advanced Materials, EarlyView.
ABSTRACT Advances in the development of organic field‐effect transistors (OFETs), electrically gated organic semiconductors (EGOFETs), and organic electrochemical transistors (OECTs) allow for the operation of these devices at very high charge‐carrier densities, where Coulomb interactions between carriers can be expected to become significant.
Magdalena Sophie Dörfler, Heinz Bässler, Harald Oberhofer, Anna Köhler   +3 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source