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Trap Depth Modulation and Antenna Effect of Organic Ligands for Enhancing Rare‐Earth Long Persistent Luminescence

Advanced Science, EarlyView.
Different from the current research trends that mainly focus on optimizing a single color system, a universal organic–inorganic hybrid strategy is proposed, aiming to synergistically enhance the luminescent properties of red, green, and blue multi‐color inorganic long‐persistent phosphorescent materials by trap depth modulation and antenna effect of ...
Ting Tan, Nian Li, Bangmin Liu, Hao Wang, Xia Huang, Yuanjin Chen, Zhonghao Wang, Chaolong Yang   +7 more
wiley   +1 more source

Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces

Advanced Science, EarlyView.
System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee, Hyun Bin Kim, Sang Uk Park, Janghoon Joo, Jinhong Min, Geumbee Lee, Joohoon Kang, Hyoyoung Jeong, Jae‐Young Yoo, Sang Min Won   +9 more
wiley   +1 more source

Rare‐Earth Mediated Engineering in ZnSe@ZnS:Eu3+ to Simultaneously Achieve Structural Modulation and Atomic Eu Doping Sites for X‐Ray Imaging

Advanced Science, EarlyView.
A dual hard‐base anchoring strategy was developed to synthesize ZnSe@ZnS:Eu3+ quantum dots, leveraging fluoride‐oleylamine interactions to create surface atomic Eu doping sites. By precisely tuning temperature, Eu3+ concentration, and fluoride levels, we obtain morphologies ranging from tip growth to coupled flower‐like structures.
Jicun Ma, Chenhao Yang, Jiada Fan, Haorong Jiao, Jiawang Liu, Jialiang Xu, Hui Cai, Yinghui Wang, Boyuan Shen, Jiabin Cui   +9 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Supercritical CO2‐Induced Porous MXene Films for Electromagnetic Interference Shielding and Infrared Stealth

Advanced Science, EarlyView.
The phase transition of supercritical CO2 induces the foaming of dense MXene film without compromise inherent structure of MXene nanosheet. The foamed porous MXene film manifests remarkable EMI shielding and infrared thermal camouflage performances. Moreover, the foaming strategy is broadly adaptable and can be extended to other two‐dimensional films ...
Hui Zhao, Shuai Li, Jiabei He, Tong Gao, Jingfeng Wang, Dongxiao Kan, Wangtu Huo, Lixin Chen   +7 more
wiley   +1 more source

An evaluation of Czech word embeddings.

, 2023
openaire   +2 more sources

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isiZulu Word Embeddings

2021 Conference on Information Communications Technology and Society (ICTAS), 2021
Word embeddings are currently the most popular vector space model in Natural Language Processing. How we encode words is important because it affects the performance of many downstream tasks such as Machine Translation (MT), Information Retrieval (IR) and Automatic Speech Recognition (ASR).
Sibonelo Dlamini, Edgar Jembere, Anban W. Pillay, Brett van Niekerk   +3 more
openaire   +1 more source