Results 111 to 120 of about 800,737 (240)

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

Band‐Edge Engineering of BiFeO3–KTaO3 Solid Solutions toward Efficient Solar Hydrogen Production

Advanced Energy and Sustainability Research, EarlyView.
This study reports BiFeO3–KTaO3 solid solutions as efficient photocathodes for solar hydrogen production. Combining experiments with density functional theory, the authors demonstrate composition‐driven band‐edge tuning, achieving high photocurrent density and hydrogen generation rates.
Yassine Nassereddine, Manal Benyoussef, Bouchra Asbani, Nitul Rajput, Mimoun El Marssi, Mustapha Jouiad   +5 more
wiley   +1 more source

Return and Volatility Spillovers Among Major Cotton Markets

Agribusiness, EarlyView.
ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli, Berna Karali, Yangxuan Liu, Munisamy Gopinath   +3 more
wiley   +1 more source

A multiscale Bayesian optimization framework for process and material codesign

AIChE Journal, EarlyView.
Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Benchmarking: A Tool for Veterinary Practices to Improve Prudent Use of Antibiotics in Cats and Dogs in Switzerland. [PDF]

Antibiotics (Basel)
Léger A, Schwermer H, Schnidrig GA, Wernli D, Schrenzel J, Heim D.   +5 more
europepmc   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

GEOAI benchmark problems BM/AirportSoilProperties/2/2025

Geodata and AI
Yu Otake, Jianye Ching, Taiga Saito, Kotaro Asano   +3 more
openaire   +1 more source

Assessment of the integrity of real-time electronic health record data used in clinical research. [PDF]

PLoS One
Liu J, Pandya S, Coppi A, Young HP, Krumholz HM, Schulz WL, Gong G.   +6 more
europepmc   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source