Results 161 to 170 of about 1,974,901 (308)

Disulfide Glass: An Optical Polymer for Commodity Plastics, Precision Optics, and Photonics

Advanced Functional Materials, EarlyView.
From oil and glass refining to high performance commodity polymers with enhanced thermomechanical and optical properties—the synthesis of a new high refractive index, highly transparent optical thermoset polymer is reported, termed, disulfide glass that affords a robust optical glass amenable to fabrication of precision optics and thin film photonic ...
Jake Molineux, Sam W. Durfee, Ramses Hyde, Matthew C. Malaker, Jacob P. Narr, Kyung‐Jo Kim, Roland Himmelhuber, Young‐Jae Kim, Min‐Gap Bog, Byeongjoon Jeong, Woongbi Cho, Jeong Jae Wie, Nithiyaa Bala Krishnan, Yi Yan Yang, Robert A. Norwood, Jeffrey Pyun   +15 more
wiley   +1 more source

Multi‐Scaled Cellulosic Nanonetworks from Tunicates

Advanced Functional Materials, EarlyView.
Microbial and plant nanonetworks of cellulose have enabled a wide range of high‐performance yet sustainable materials. Herein, a third class of cellulosic nanonetworks is showcased by exploiting the only animal tissue‐producing cellulose nanofibers, i.e., ascidians. An ultrastructure including spherical cells and a microvasculature with diameters of 50–
Mano Govindharaj, Mohamed Hamid Salim, M‐Haidar A. Dali, Sarath Haridas Kaniyamparambil, Sagar S. Arya, Zubeen Hathi, Srinivas Mettu, Erlantz Lizundia, Anna Maria Pappa, Charalampos Pitsalidis, Blaise L. Tardy   +10 more
wiley   +1 more source

Examine the relationship between intellectual intelligence and employee productivity Isfahan University Medical of Sciences

مدیریت اطلاعات سلامت, 2015
Introduction: The importance of spirituality in organizations and can be a powerful force in people's lives brought profound. The purpose of this study was to analyze the relationship between spiritual intelligence and productivity of employees Isfahan ...
Akbar Etebarian, Majid Shiasi
doaj  

Alpha Mining and Enhancing via Warm Start Genetic Programming for Quantitative Investment [PDF]

arXiv
Traditional genetic programming (GP) often struggles in stock alpha factor discovery due to its vast search space, overwhelming computational burden, and sporadic effective alphas. We find that GP performs better when focusing on promising regions rather than random searching.
arxiv  

Narrowband Detection via Charge Collection Narrowing Organic Photodetector Enabled by Low Bandgap Random Terpolymer for Biometric Sensing

Advanced Functional Materials, EarlyView.
A novel low‐bandgap random terpolymer is designed for narrow band detection in charge collection narrowing (CCN) based organic photodetectors. With a relative thin active layer (<1 µm), the CCN‐based devices achieved a narrowband response of 68 nm full‐width‐at‐half‐maximum at 916 nm, together with Responsivity values of 0.13 A W−1 and dark current of ...
Matilde Brunetta, Zhuoran Qiao, Adibah Zamhuri, Francesco Furlan, Martina Rimmele, Peter A. Gilhooly‐Finn, Lewis M. Cowen, Filip Aniés, Patipan Sukpoonprom, Stanley Cazaly, Julianna Panidi, Flurin Eisner, Martin Heeney, Bob C. Schroeder, Nicola Gasparini   +14 more
wiley   +1 more source

Near‐Infrared Circularly Polarized Electroluminescence with Switchable Handedness in Organic LEDs

Advanced Functional Materials, EarlyView.
The first fully‐organic circularly polarized near‐infrared OLED, using a co‐assembled active layer of ITIC and a chiral inducer, exhibits dissymmetry values up to 0.074 and 1.65 Wsr−1m−2 radiance. The circular polarization sign can be switched by manipulating the position of the recombination zone, resulting in enhanced device performance and stability.
Francesco Zinna, Chiara Botta, Silvia Luzzati, Lorenzo Di Bari, Umberto Giovanella   +4 more
wiley   +1 more source

From Deep Learning to LLMs: A survey of AI in Quantitative Investment [PDF]

arXiv
Quantitative investment (quant) is an emerging, technology-driven approach in asset management, increasingy shaped by advancements in artificial intelligence. Recent advances in deep learning and large language models (LLMs) for quant finance have improved predictive modeling and enabled agent-based automation, suggesting a potential paradigm shift in ...
arxiv  

Over 18% Efficiency from Halogen‐Free Solvent‐Processed Polymer Solar Cells Enabled by Asymmetric Small Molecule Acceptors with Fluoro‐Thienyl Extended Terminal

Advanced Functional Materials, EarlyView.
An asymmetric non‐fullerene acceptor BTP‐FT is developed by extending the end group of Y6‐BO with thiophene. The conformation of the molecule is determined by the noncovalent F···S interaction as demonstrated by 2D NMR and simulations. An efficiency of 18.39% is achieved in the resulting ternary solar cells processed from toluene.
Jingnan Wu, Fengbo Sun, Xinxin Xia, Leandro R. Franco, Qiaonan Chen, Yúang Fu, Rafael B. Ribeiro, Xinhui Lu, C. Moyses Araujo, Xunchang Wang, Renqiang Yang, Xia Guo, Donghong Yu, Maojie Zhang, Ergang Wang   +14 more
wiley   +1 more source

Exploring Electronic States and Ultrafast Electron Dynamics in AlInP Window Layers: The Role of Surface Reconstruction

Advanced Functional Materials, EarlyView.
This study examines the surface characteristics of AlInP (001), crucial for advanced solar cells and photoelectrochemical devices. Using theoretical modeling and experiments, it identifies how phosphorus‐rich and indium‐rich surfaces create mid‐gap states that pin the Fermi level and influence ultrafast electron dynamics.
Mohammad Amin Zare Pour, Sahar Shekarabi, Isaac Azahel Ruiz Alvarado, Jonathan Diederich, Yuyings Gao, Agnieszka Paszuk, Dominik C. Moritz, Wolfram Jaegermann, Dennis Friedrich, Roel van de Krol, Wolf Gero Schmidt, Thomas Hannappel   +11 more
wiley   +1 more source

Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics

Advanced Functional Materials, EarlyView.
Memristive nanowire networks (NWNs) are shown to be electrically tunable to a critical state where specific local dynamics evaluated by multiterminal characterization are exploited as feature selection in nonlinear transformation (NLT) tasks.
Fabio Michieletti, Davide Pilati, Gianluca Milano, Carlo Ricciardi   +3 more
wiley   +1 more source