Results 181 to 190 of about 825 (258)

Computationally Driven Advances in Cu‐CNT On‐Chip Interconnect Materials: From First Principles to Machine Learning

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang, Jie Liang, Yi Li, Zhenyu Wang, Haoyuan Li, Zhen Yuan, Jiuren Zhou, Rongmei Chen, Wensheng Zhao, Lei Zhang, Hanshen Xin, Jianhua Zhang   +11 more
wiley   +1 more source

A novel and optimized design of D-latch and D flip-flop for QCA-based digital systems. [PDF]

Sci Rep
Vosta PK, Gholami M.
europepmc   +1 more source

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

Advances in Measurement and Simulation Methods of Thin Liquid Film Corrosion. [PDF]

Materials (Basel)
Cai Y, Gao Y, Zhuang Y, Wu S, Chen F, Jin Y, Zhu P, Qin L, Su Y.   +8 more
europepmc   +1 more source

Recent advances in data‐driven and artificial intelligence‐integrated perovskite solar cells: From design to self‐driving laboratories

InfoMat, EarlyView.
To address the limitations of conventional trial‐and‐error approaches, perovskite solar cell research is shifting toward a new paradigm that utilizes datasets and AI. This review examines the fundamental elements of data‐driven and AI‐integrated research: data platforms, AI methodologies, and self‐driving laboratories, demonstrating how their ...
Jaehee Lee, Juhwan Noh, Hyunjun Lee, Yea‐Lee Lee, Jino Im, Jangwon Seo   +5 more
wiley   +1 more source

Data on quantum dot cellular automata based flip flops for designing serial-in-serial-out shift register. [PDF]

Data Brief
Kalyan BS, Singh B, Devi R.
europepmc   +1 more source

The Polymerase Chain Reaction Combined With Quantum Dot Fluorescence Analysis Method for Rapid Detection of Multiple Urinary Tract Infection Pathogens in Children

Journal of Clinical Laboratory Analysis, EarlyView.
In this study, we developed a novel pathogen detection platform by combining PCR technology with quantum dot fluorescence materials, aiming to improve the speed and accuracy of urinary tract infection (UTI) pathogen detection. We collected 294 clinical samples to evaluate the performance of the platform.
Chunling Li, Huali Yin, Pengfei Yu, Qian Meng, Qianwen Ye, Fei Zhao, Chuanqing Wang   +6 more
wiley   +1 more source

A Perturbative Approach to the Solution of the Thirring Quantum Cellular Automaton. [PDF]

Entropy (Basel)
Bisio A, Perinotti P, Pizzamiglio A, Rota S.   +3 more
europepmc   +1 more source

Optical Coherence Tomography for High‐Precision Industrial Inspection in Industry 4.0: Advances, Challenges, and Future Trends

Laser &Photonics Reviews, EarlyView.
This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya, Sm Abu Saleah, Daewoon Seong, Naresh Kumar Ravichandran, Sangyeob Han, Ruchire Eranga Wijesinghe, Mansik Jeon, Jeehyun Kim   +7 more
wiley   +1 more source

Secure image encryption using a 4D chaotic system and Langton's ant cellular automaton. [PDF]

Sci Rep
Alshehri H.
europepmc   +1 more source