Results 111 to 120 of about 432 (251)

Defect Engineering and Effect of Vacancy Concentration on the Electrochemical Performance of V‐Based MXenes

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Using a top‐down defect engineering approach, controllable vacancy concentrations are introduced into V‐based MXenes by rationally designing the precursor MAX phase, aiming to investigate the effect of vacancy concentration on the electrochemical performance.
Leiqiang Qin, Rutuparna Samal, Jianxia Jiang, Joseph Halim, Ningjun Chen, Florian Chabanais, Per O. A. Persson, Johanna Rosen   +7 more
wiley   +1 more source

Boosting Zinc‐Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The work presents an innovative method for the preparation of mesoporous carbon materials (MCs) from highly graphitized carbon quantum dots. The zinc‐ion hybrid capacitors assembled with MCs deliver high rate performance and stability, providing promising advancements for future energy storage solutions.
Guoli Zhang, Huihui Li, Kaiyue Wang, Gang Li, Kaixi Li, Taotao Guan, Kaiying Wang   +6 more
wiley   +1 more source

Hydrophobic eutectic solvent‐engineered membranes for highly permeable, selective, and antifouling pharmaceutical removal from municipal wastewater

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Single‐step incorporation of a hydrophobic deep eutectic solvent (HDES) into polyethersulfone ultrafiltration membranes via non‐solvent induced phase separation creates selective, antifouling membranes for pharmaceutical removal. The HDES nanodomains enhance permeability, electrostatic interactions, and adsorption affinity, enabling efficient and ...
Anjali Goyal, Tarek Lemaoui, Mahendra Kumar, Ahmad S. Darwish, Ali Zerriouh, Fawzi Banat, Hassan A. Arafat, Shadi W. Hasan, Inas M. AlNashef   +8 more
wiley   +1 more source

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

Multi-Layer Molecular Quantum-Dot Cellular Automata Multiplexing Structure with Physical Verification for Secure Quantum RAM. [PDF]

Int J Mol Sci
Jeon JC.
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 novel D-latch with low energy consumption in quantum-dot cellular automata technology. [PDF]

Sci Rep
Mahdian Jouibari S, Gholami M, Ghods V, Tolou Askari M.   +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

Design and implementation of an efficient single layer five input majority voter gate in quantum-dot cellular automata. [PDF]

Springerplus, 2016
Bahar AN, Waheed S.
europepmc   +1 more source

New Opportunities For the Integration of Artificial Intelligence With Materials Science: From Large Language Models to Embodied Large Models

Materials Genome Engineering Advances, EarlyView.
This review first introduces the diversified applications of large language models in materials discovery. Subsequently, the evolution of autonomous experimentation platforms empowered by large language models is analyzed. Finally, four key future research interests are proposed to develop embodied large models for driving autonomous experimentation ...
Zhen Song, Yishuai Cai, Yadong Yu, Pan Xiang, Minglong Li, Zhe Liu, Mengyan Dai   +6 more
wiley   +1 more source