Results 111 to 120 of about 482 (253)

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan, Ryan Gosselin, Nicolas Abatzoglou   +2 more
wiley   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

Carbon emission assessment of tunnel infrastructures: From construction to operation

Deep Underground Science and Engineering, EarlyView.
This study develops a lifecycle carbon accounting framework for tunnel infrastructures, covering design, construction, operation, maintenance, and dismantling. Applied to a subsea tunnel case, the framework reveals the carbon emission distribution among four typical tunnel types and highlights potential carbon offset methods for low‐carbon tunnel ...
Luyuan Long, Wout Broere, Xuehui Zhang, Tian Xia, Richard de Nijs   +4 more
wiley   +1 more source

Methods of pattern class creation for purposes of emitter recognition

, 2012
W artykule zawarto krótką charakterystykę podstawowych parametrów sygnału radarowego ze szczególnym uwzględnieniem modulacji międzyimpulsowej. Badania skoncentrowano na określeniu korelacji pomiędzy budową struktur czasowych, częstotliwościowych i ...
Matuszewski, J.
core  

Engineering the Lattice and Electronic Configurations of N‐Rich‐CoMoCN by Mo Doping and N Enrichment for Enhanced Water Splitting

EcoEnergy, EarlyView.
This study design Mo‐doped and N‐rich‐CoMoCN bimetal for bi‐functionally efficient overall water splitting catalysts by constructing an active site and engineering the interfacial Co6Mo6C2/Co heterojunction in a N‐doped porous carbon matrix and study on the performance of catalyst for electrocatalytic.
Huimin Yang, Yue Xiao, Zhuo Wang, Mingfang Zhang, Haimei Xu, Yunzhao Fan, Chao Feng, Qingcheng Hu, Chunhua Yuan, Yang Fu, Lingfeng Zhu, Songbo Li, Tianyi Ma   +12 more
wiley   +1 more source

Lithium Metal Anode Fabrication: Methods, Challenges, and Strategies

EcoEnergy, EarlyView.
Schematic illustration of four representative fabrication techniques for thin lithium metal anodes: extrusion, molten lithium infusion, electroplating, and physical vapor deposition (PVD). ABSTRACT The pursuit of ultra‐high energy‐dense lithium‐metal batteries (LMBs) has reignited the drive to fabricate ultrathin high‐quality lithium metal anodes. This
Ji Hyun Baek, Mi Ji Kang, Ho Won Jang
wiley   +1 more source

ZnO‐Coated Silicon Oxide Nano‐Anode: Synergistic Enhancement of Cycling and Thermal Stability of Lithium‐Ion Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Lithium‐ion battery anodes that maintain good performance and excellent stability under high temperature conditions. Silicon oxide (SiO) has great potential as a high‐capacity anode for lithium‐ion batteries, but its practical use is limited by excessive volume expansion (>200%) and rapid capacity fade, especially at high temperatures.
Keren Shi, Wende Yi, Weikang Su, Qiaowei Xiao, Ziyan Wang, Xiaoyu Li, Jingyang Mu, Wufei Tang, Zhihan Peng, Huiqin Yao   +9 more
wiley   +1 more source

Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang, Rui Li, Chang He, Xinfeng Zhu, Junning Wang, Rongfu Peng, Ho Ngoc Nam, Yanli Mao, Wei Liu, Mingshan Zhu, Yusuke Yamauchi   +10 more
wiley   +1 more source

Interfacial Solvent Molecular Engineering via High‐Safety Dense Separators for High‐Rate Lithium‐Ion Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The dense PPS‐separator prevents thermal runaway by allowing electron transfer through the steel needle during penetration, while the residual electrolyte enables brief ion migration and Joule heating, causing rapid electrolyte vaporization, collapse of the ion transport network, and a sharp drop in ionic conductivity.
Haitao Zhou, Jie Gu, Haiyun Zhou, Yihong Deng, Yafei Shi, Yang Yang, Chen Wang, Hongquan Gao, Jianchun Wu, Libo Wang, Xiangdong Huo   +10 more
wiley   +1 more source

Research on an Enhanced Multimodal Network for Specific Emitter Identification

Specific emitter identification (SEI) refers to the task of distinguishing similar emitters, especially those of the same type and transmission parameters, which is one of the most critical tasks of electronic warfare. However, SEI is still a challenging
Wenxu Zou, Kai Xie, Heli Peng
core   +1 more source