Results 171 to 180 of about 722,808 (342)

A Mathematical Model for COVID-19 Image Enhancement based on燤ittag-Leffler-Chebyshev Shift [PDF]

, 2022
Ibtisam Aldawish, Hamid A. Jalab
openalex   +1 more source

Electrochemical Formation of BiVO4/BiPO4 Photoanodes for Enhanced Selectivity toward H2O2 Generation

Advanced Functional Materials, EarlyView.
In acidic KPi, V dissolves from the BiVO4 lattice, while adsorbed phosphate reacts with the electrode under an external bias, forming a BiPO4 surface layer. This BiPO4 layer exhibits stronger bicarbonate adsorption, redirecting the water oxidation pathway toward two‐electron H2O2 production.
Kaijian Zhu, Xinyi Zhang, Lan Wen, Hongjiang Chen, Yudhistira Tirtayasri Amrillah, Vivi Fauzia, Hongzhen Dong, Shaoqiang Su, Wenjun Luo, Ferry Anggoro Ardy Nugroho, Patrick H.‐L. Sit, Yun Hau Ng, Fatwa F. Abdi   +12 more
wiley   +1 more source

Reconfigurable Magnetic Soft Microrobot for Acoustically Triggered Targeted Bacterial Sterilization

Advanced Functional Materials, EarlyView.
Reconfigurable magnetic soft microrobots integrate in situ‐grown piezoelectric zinc oxide nanorods that produce reactive oxygen species upon acoustic excitation. Combining magnetically guided transport with thermally induced planar reconfiguration, the microrobots achieve targeted delivery and enhanced bacterial sterilization through efficient on ...
Quan Gao, Fan Li, Jiajie Gao, Elric Zhang, Yingdong Su, Ni Qin, Hao Ye, Josep Puigmartí, Giuseppe Cantarella, Simone Schuerle, Jiang Wu, Bradley J. Nelson, Salvador Pané   +12 more
wiley   +1 more source

Atomically Revealing Bulk Point Defect Dynamics in Hydrogen‐Driven γ‐Fe2O3 → Fe3O4 → FeO Transformation

Advanced Functional Materials, EarlyView.
In situ TEM uncovers the atomic‐scale mechanisms underlying hydrogen‐driven γ‐Fe2O3→Fe3O4→FeO reduction. In γ‐Fe2O3, oxygen vacancies cluster around intrinsic Fe vacancies, leading to nanopore formation, whereas in Fe3O4, vacancy aggregation is suppressed, preserving a dense structure.
Yupeng Wu, Dongxiang Wu, Wenhui Zhu, Xiaobo Chen, Zhikang Zhou, Zhilu Liang, Shuonan Ye, Meng Li, Xiao Tong, Kim Kisslinger, Sooyeon Hwang, Dmitri Zakharov, Renu Sharma, Judith C. Yang, Guangwen Zhou   +14 more
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Mathematical Cookbook for Snapshot Compressive Imaging [PDF]

, 2022
Yaping Zhao
openalex   +1 more source

Purcell‐Enhanced Spectrally Precise Emission in Dual‐Microcavity Organic Light‐Emitting Diodes

Advanced Functional Materials, EarlyView.
Spectrally precise emission from broadband organic light‐emitting diodes is realized via a dual‐microcavity strategy. This architecture achieves narrowband emission (full width at half maximum, FWHM = 21 nm) with ultrapure color approaching BT.2020 by enhancing the Purcell effect via coupling of excitons with dual‐microcavity resonance.
Jun Yong Kim, Sang Youn Lee, Kwan Hyun Cho, Yun Seon Do   +3 more
wiley   +1 more source

Properties of a subclass of starlike functions involving the quantum derivative operator. [PDF]

MethodsX
Breaz D, Karthikeyan KR, Senguttuvan A, Mohankumar D.   +3 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Ethnic and Gender Representation in German, Italian and Dutch School Textbooks. [PDF]

J Community Psychol
Jehle AMC, van Veen D, Groeneveld MG, van der Pol LD, Mesman J.   +4 more
europepmc   +1 more source