Results 201 to 210 of about 219,968 (309)

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Tetrazine Ligation in Living Systems: Beyond Fast Kinetics to Effective Bioorthogonality

Chemistry – A European Journal, EarlyView.
Rapid reaction kinetics (k2) alone do not ensure successful tetrazine ligation in living systems. This review introduces ‘effective orthogonality’—focusing on chemical survival, availability, and encounter—as a practical framework. We highlight how bottlenecks shift from cellular sinks to in vivo delivery limits, offering design strategies for reliable
Junhyeong Yim, Junyoung Park, Youngjun Lee, Jongmin Park   +3 more
wiley   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza, Raja Muhammad Afzal, Felipe Gomes Camacho, Nader Mahinpey   +3 more
wiley   +1 more source

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

Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design

Deep Underground Science and Engineering, EarlyView.
The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza, Hendrik Grobler, Moshood Onifade, Manoj Khandelwal   +3 more
wiley   +1 more source

Nonsilting transport characteristics of coal slurry in a deep underground fluidization conveying pipeline under the action of a guide vane swirler

Deep Underground Science and Engineering, EarlyView.
Aiming at the scientific frontiers of in situ fluidized mining of deep resources, a deep coal fluidized pipeline lifting system based on hydraulic conveying has been proposed. To solve the issue of particle sedimentation of large particles in horizontal connection sections, a solution involving the installation of guide vane‐type swirlers in the ...
Jiusheng Bao, Shaodi Zhao, Yan Yin, Zhongbin Wang, Shuai Liu, Shirong Ge   +5 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

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

Regulating the Dielectric Behavior of Conductive Polymers Through Vapor Phase Infiltration for Tunable Microwave Absorption

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Vapor phase infiltration (VPI) enables atomic‐level dielectric regulation in conductive polymer foams. The VPI‐treated foam exhibits enhanced absorption efficiency per unit thickness (~2.6 times), dynamic frequency tunability (94.5% coverage in 2–18 GHz), and on/off switching ability while retaining performance under acid/alkali exposure and repeated ...
Pengpeng Mou, Jinchuan Zhao, Xiao Liu, Lihong Wu, Xin Li, Gengping Wan, Guizhen Wang   +6 more
wiley   +1 more source

Unraveling Synergistic Regulation Mechanism in Nitrogen/Sulfur Co‐Doped Biomass‐Derived Hard Carbon Toward Durable Sodium‐Ion Battery Anodes

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Nitrogen/sulfur co‐doping optimizes the electron and spatial structure of biomass‐derived hard carbon, and the anode demonstrates superior long‐term cycling stability over 2000 cycles, validating an improved “adsorption‐intercalation‐pore filling” mechanism.
Qian Long, Fangyuan Zhang, Jiayu Qu, Songtao Li, Renfei Cheng, Yaning Zhao, Di Guo, Zhengwang Zhu, Haifeng Zhang   +8 more
wiley   +1 more source