Results 131 to 140 of about 8,325,212 (282)

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

Advanced 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, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Processing morphological variants in searches of Latin text

Information Research: An International Electronic Journal, 1996
A characteristic of natural-language text databases is that a user must be able to specify all of the variant forms of each query word if high recall is to be achieved. The most common type of word variants are those arising from morphology and thus most
Mark Greengrass, Alexander M. Robertson, Robyn Schinke, Peter Willett   +3 more
doaj  

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

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Alloying‐Controlled Tuning of Interfacial Spin‐Orbit Interaction and Magnetic Damping in Crystalline FeCo Thin Films Grown on GaAs(001)

Advanced Materials, EarlyView.
The interfacial spin‐orbit interaction in single‐crystalline Fe1−xCox thin films grown on GaAs(001) can be continuously tuned via alloying. Using spin‐orbit ferromagnetic resonance, the authors find that the interfacial spin‐orbit fields exhibit a nonmonotonic dependence on Co concentration, with a minimum at 20% Co. ABSTRACT The discovery of intrinsic
Hongrui Lao, Matthias Kronseder, Zhe Yuan, Thomas Narr, Thomas N. G. Meier, Nadine Mundigl, Xianlin Qu, Zhongchang Wang, Christian H. Back, Lin Chen   +9 more
wiley   +1 more source

Reactivity‐Guided Janus Graphene With Asymmetric Interfacial Electrostatics for Tunable Charge Transport

Advanced Materials, EarlyView.
Stepwise dual‐side functionalization creates covalent Janus graphene with chemically and electrostatically asymmetric interfaces. The resulting nonadditive surface‐potential response and pronounced charge‐transport modulation demonstrate a versatile route for tailoring the electronic properties of graphene.
Shishi Liu, Zhuting Hao, Mira Kreßler, Oguzhan Yücel, Lotte Polling, Adrián Dewambrechies, Wesley Pietsch, Philip Nickl, Felix Fels, Kevin Pagel, Markus R. Heinrich, Patryk Kusch, Kirill Bolotin, Xin Chen, Siegfried Eigler   +14 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

Automated Translation Between Lexicon and Corpora

Humana.Mente: Journal of Philosophical Studies, 2012
In this work we will show the role of lexical resources in machine translation processes, giving several examples after a brief overview of Machine Translation studies.
Elisabetta Gola, Stefano Federici, Nilda Ruimy, John Wade   +3 more
doaj