Results 81 to 90 of about 274,537 (213)

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

High‐Energy‐Density Redox Flow Batteries: Mechanisms, Design Strategies, and Recent Progress

Chemistry – A European Journal, EarlyView.
ABSTRACT The inherent intermittency of energy sources such as solar and wind power hinders the transition to renewable energy, necessitating advanced energy storage solutions. Enhancing energy density is crucial for lowering system costs and enabling large‐scale deployment.
Xiaolian Zhao, Jiaxin Yu, Nannan Jia, Chuzhang Hong, Yue Luo, Wantong Jing, Zhiming Feng, Xinhua Liu, Rui Tan   +8 more
wiley   +1 more source

Multi-adaptive event-triggered consensus of positive multi-agent systems using pinning strategy. [PDF]

PLoS One
Li Q, Dong L, Yang H.
europepmc   +1 more source

Calix[4]arene Design for Enhanced Carbon Capture via Topological Learning

Chemistry – A European Journal, EarlyView.
ABSTRACT Solid direct air capture (S‐DAC) technologies have the potential to remove pre‐existing CO2 from the atmosphere by taking advantage of hydrophobic materials that will retain CO2 through physisorption and separating it from the abundant water molecules. Calix[n]arenes are highly tunable and versatile complexes with inherent hydrophobic cavities,
Jeffrey A. Laub, Konstantinos D. Vogiatzis   +1 more
wiley   +1 more source

An effective deep learning algorithm for medical image registration. [PDF]

PLOS Digit Health
Deng J, Chen K, Li M, Zuo Z, Frangi AF, Zhang J.   +5 more
europepmc   +1 more source

Mathematical aspects of spin-momentum locking : generalization to magnonic systems and application of orbifold to topological material science

Mathematical aspects of spin-momentum locking : generalization to magnonic systems and application of orbifold to topological material science
学位の種別: 課程博士 審査委員会委員 : （主査）東京大学准教授 桂 法弥, 東京大学教授 大谷 義近, 東京大学教授 常行 真司, 東京大学教授 髙木 英典, 東京工業大学教授 村上 ...
openaire  

Optimization of 3D‐Printed Structured Packings—Current State and Future Developments

Chemie Ingenieur Technik, EarlyView.
This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke, Sebastian Blauth, Christian Leithäuser, Thomas Grützner   +3 more
wiley   +1 more source

Ambiguity and free will: the topology of decision in quantum and quantum-like sciences. [PDF]

Philos Trans A Math Phys Eng Sci
Plotnitsky A.
europepmc   +1 more source

Safety soft sensor development for pilot‐scale ilmenite electric arc furnace using long short‐term memory‐based architecture

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Ilmenite electric arc furnaces (EAFs) are used for smelting titanium‐iron oxide ore at high temperatures generated by electrical arcs to produce titanium slag and pig iron. As these units are pushed to their limits, ensuring safe and reliable operation becomes challenging.
Antony Gareau‐Lajoie, Djogap F. Chrysler J., Daniel Rodrigues, Marie‐Ève Gosselin, Moncef Chioua   +4 more
wiley   +1 more source

A novel computational study of reverse degree topological indices and entropies for nanostar dendrimers. [PDF]

Sci Rep
Qummer AA, Saqib M, Ali S, Ashebo MA, Jumaniyazov S.   +4 more
europepmc   +1 more source