Results 151 to 160 of about 3,692,894 (287)

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

open access: yesAdvanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu   +3 more
wiley   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models. [PDF]

open access: yesAMIA Jt Summits Transl Sci Proc, 2023
Oniani D   +8 more
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

NEURAL NETWORK MACHINE TRANSLATION IN FOREIGN LANGUAGE TEACHING IN TECHNICAL UNIVERSITY

open access: yesRussian Journal of Education and Psychology
Background. Mass usage of neural-network machine translation services by students of technical universities when studying foreign languages leads to the necessary changes in the working programme content and teaching instruments.
Irina S. Volegzhanina   +1 more
doaj   +1 more source

Leveraging synthetic monolingual data for fuzzy-match augmentation in neural machine translation : a preliminary study

open access: yes
This study investigates the integration of Large Language Models (LLMs) with Fuzzy Match (FM)-augmentation techniques to enhance Neural Machine Translation (NMT) systems.
Moerman, ThomasLW220001805378148020045244780009-0001-6021-8031482336A0-A1A0-11E8-AA84-999A5607D3EF   +4 more
core  

Literary translation as a three-stage process : machine translation, post-editing and revision

open access: yes, 2022
This study focuses on English-Dutch literary translations that were created in a professional environment using an MT-enhanced workflow consisting of a three-stage process of automatic translation followed by post-editing and (mainly) monolingual ...
Vanroy, BramUGent0001615296528020026585439747705382060000-0002-4622-8364C50B0474-7EE0-11E7-B38D-2BA4AD28A064   +19 more
core  

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

open access: yesAdvanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy