Results 181 to 190 of about 10,169 (255)

Artificial Intelligence Tools for Carbon Nanotube Research: Opportunities From Synthesis to Applications

Carbon and Hydrogen, EarlyView.
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao, Fei Wang, Qixuan Cai, Aike Xi, Kangkang Wang, Khaixien Leu, Rufan Zhang   +6 more
wiley   +1 more source

Carbon/Silicon Heterojunction Solar Cells: Status and Perspectives

Carbon Energy, EarlyView.
This review examines carbon/silicon heterojunctions and highlights the advantages of carbon materials in terms of cost‐effectiveness, low‐temperature processing, and scalability. It adopts a comprehensive approach to bridge the gap between laboratory‐scale innovations and industrial‐scale applications, incorporating current state‐of‐the‐art findings ...
Randi Azmi, Adi Prasetio, Muhammad Iqbal Syauqi, Yanping Liu, Arsalan Razzaq, Nandang Mufti, Stefaan De Wolf   +6 more
wiley   +1 more source

Quantum Confinement in High Electron Mobility Transistors

, 2017
Shovon Pal, Sascha R. Valentin, Arne Ludwig, Andreas D. Wieck   +3 more
openaire   +2 more sources

Perovskite Photodetectors at the Intelligence Frontier: From Tunable Materials to Adaptive Optoelectronic Systems

Carbon Energy, EarlyView.
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li, Wei Qu, Deepak Kumar, Naini Jain, Nur Wardina Syahirah binti Mohamad Fadil, Nur Najiha binti Ahmad Rasid, Emannuel Kymakis, Maria Vasilopoulou, Chunxiong Bao, Feng Gao, Peng Gao, Sanjeev Kumar Sharma, Mohammad Khaja Nazeeruddin, Abd. Rashid bin Mohd Yusoff, Haotong Wei   +14 more
wiley   +1 more source

A Review of Grain Boundaries: Formation Mechanism, Synthesis Strategy, and Application in Electrocatalysis

EcoEnergy, EarlyView.
An overview of grain boundary engineering in the field of electrocatalysis. ABSTRACT Key electrocatalytic reactions such as HER, OER, ORR, CO2RR, and NRR offer promising routes for storing renewable energy as chemical fuels. However, their widespread application is constrained due to the lack of highly active and stable catalysts. Grain boundaries (GBs)
Jingyu Gao, Fengming Zhou, Xinying Li, Ying Deng, Zexing Wu, Siyuan Feng, Yujing Zhu, Dan Zhang, Zhenyu Xiao   +8 more
wiley   +1 more source

The Dimensional Revolution of Phosphorus: From Allotropicity to Battery System Applications

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Phosphorus‐based materials are promising high‐capacity anodes classified by dimension (0D–3D) to systematically explore their properties and composite strategies. When combined with materials such as carbon to form heterostructures, the electrical conductivity and stability are effectively enhanced.
Shuhan Zhang, Zhiyuan Zhang, Ziying Pan, Kaixuan Hu, Yameng Yin, Yapan Wu, Caihong Yang, Lei Zheng, Dongsheng Li   +8 more
wiley   +1 more source

Entropy‐Driven Innovations: Entropy Stabilized Oxides for High‐Performance Next‐Generation Lithium–Sulfur Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This article explores high‐entropy‐stabilized oxides (HEOs) as novel functional materials for addressing critical issues in lithium–sulfur (Li–S) batteries, including lithium polysulfide (LPS) shuttling, inadequate conductivity, and slow redox kinetics.
Hassan Raza, Jialiang Wei, Zhicai Wang, Zhaoyang Lv, Junye Cheng, Jia Xu, Liang An, Yuliang Liu, Sergey Ryazantsev, Shukui Li, Guangping Zheng   +10 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

Scaling nanoribbon transistors with monolayer transition metal dichalcogenides. [PDF]

Nat Nanotechnol
Peña T, Persson AEO, Krayev A, Friðriksdóttir Á, Su H, Lee YM, Song YS, Neilson K, Zhang Z, Hoang AT, Yang JA, Hoang L, Wang SX, Mannix AJ, McIntyre PC, Pop E.   +15 more
europepmc   +1 more source