Results 81 to 90 of about 16,377 (261)

Improved Direct Ink Writing of Liquid Metal Foams via Liquid Additives

Advanced Electronic Materials, EarlyView.
The ability to pattern liquid metal is useful for making soft electrical and thermal devices. Dispensing liquid metal from a nozzle naturally results in the formation of spheroidal droplets, making direct‐write printing challenging. Liquid metal foams containing pockets of air can extrude as filaments, albeit inconsistently.
Febby Krisnadi, Tushar Sakorikar, Man Hou Vong, Michael D. Dickey   +3 more
wiley   +1 more source

Semianalytical Modeling for Multiphase Flow in a Fractured Low-Permeability Gas Condensate Reservoir. [PDF]

ACS Omega, 2023
Yin F, Cheng S, Liu X, Zhang L, Liu H, Bai W, Shi D, Wang Y.   +7 more
europepmc   +1 more source

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source

Single‐Atom Iron‐Catalyzed Oxidative Esterification: From Methylarenes to the Upcycling of Polystyrene and Lignin‐Derived Feedstocks

Angewandte Chemie, EarlyView.
Heterogeneous iron‐catalyzed environmentally benign and sustainable CH‐oxidative esterification methodology has been developed for the synthesis of esters. This challenging reaction has been achieved by the rational design of specific single atom iron‐based catalyst with Fe‐N4 active centers, which empowered the oxidative esterification of methyl and ...
Zhuang Ma, Binyu Zhang, Hui Yang, Yue Hu, Junzheng Yu, Yanbin Cui, Jun Zhao, Matthias Beller, Rajenahally V. Jagadeesh   +8 more
wiley   +2 more sources

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Multi-hole liquid ammonia spray collapsing behaviors: Morphologies, collapsing time, and region diagram

Applications in Energy and Combustion Science
The flash-boiling and collapsing behavior of low-boiling-point liquid ammonia multi-hole spray can influence the efficient application of liquid ammonia on internal combustion engines.
Xiaoxin Yao, Gangwei Zeng, Xiao Liu, Zuohua Huang, Chenglong Tang   +4 more
doaj   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

A novel velocity band energy workflow for fiber-optic DAS interpretation and multiphase flow characterization. [PDF]

Sci Rep, 2023
Ekechukwu GK, Sharma J, William MJ.
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Message from the Guest Editor of the 18th Multiphase Flow Conference Special Issue. [PDF]

Exp Comput Multiph Flow, 2023
Lucas D.
europepmc   +1 more source