Results 141 to 150 of about 1,068,320 (275)

‘Oxygen Bound to Magnesium’ as High Voltage Redox Center Causes Sloping of the Potential Profile in Mg‐Doped Layered Oxides for Na‐Ion Batteries

Advanced Functional Materials, EarlyView.
Na‐ion batteries ‐ Impact of doping on the oxygen redox: The sloping potential of NaMg0.1Ni0.4Mn0.5O2 above 4.0 V is caused by a new redox center (arising from the ‘O bound to Mg’), having a higher potential but being more irreversible compared to the ‘O bound to Ni’.
Yongchun Li, Konstantin Köster, Katherine A. Mazzio, Yanan Sun, Annica I. Freytag, Deniz Wong, Christian Schulz, Götz Schuck, Volodymyr Baran, Alba San Jose Mendez, Marcin Zając, Payam Kaghazchi, Philipp Adelhelm   +12 more
wiley   +1 more source

Design a model to predict incomplete immunization among Ethiopian children using ensemble machine learning algorithms. [PDF]

Sci Rep
Mihret BG, Belay BN, Kelkay JM, Amare AM, Tarekegn AD, Asegu AA, Belay GN, Engdayehu AM, Engda AA, Mengist YA, Anteneh DS, Yesuf SH.   +11 more
europepmc   +1 more source

Scalable and Secure AI Systems: Integrating Machine Learning with Core Computer Science Paradigms

openalex   +1 more source

AUTOMATIC EXTRACTION OF COMPUTER SCIENCE CONCEPT PHRASES USING A HYBRID MACHINE LEARNING PARADIGM

, 2023
S M Abrar Jahin
openalex   +1 more source

Universal Neuromorphic Element: NbOx Memristor with Co‐Existing Volatile, Non‐Volatile, and Threshold Switching

Advanced Functional Materials, EarlyView.
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley   +1 more source

Intrusion detection using search-based learning optimized ensemble tree classifier model. [PDF]

PLoS One
Alhassan AM, Altmami NI.
europepmc   +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

Correction: CT radiomics‑based explainable machine learning model for accurate differentiation of malignant and benign endometrial tumors: a two‑center study. [PDF]

Biomed Eng Online
Zhang T, Wu H, Jiang Z, Wang Y, Ye R, Ni H, Liu C, Cao J, Sun X, Shao R, Wei X, Sun Y.   +11 more
europepmc   +1 more source

Optimization of Artificial Intelligence (AI) and Machine Learning (ML) Integration in Modern Computer Science: A TOPSIS-based Analysis

openalex   +1 more source

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source