Results 11 to 20 of about 5,454,633 (299)

Computational engineering of the oxygen electrode-electrolyte interface in solid oxide fuel cells

npj Computational Materials, 2021
The Ce 0.8 Gd 0.2 O 2− δ (CGO) interlayer is commonly applied in solid oxide fuel cells (SOFCs) to prevent chemical reactions between the (La 1− x Sr x )(Co 1− y Fe y )O 3− δ (LSCF) oxygen electrode and the Y 2 O 3 -stabilized ZrO 2 (YSZ) electrolyte ...
Kaiming Cheng, Huixia Xu, Lijun Zhang, Jixue Zhou, Xitao Wang, Yong Du, Ming Chen   +6 more
semanticscholar   +1 more source

Machine learning–accelerated computational fluid dynamics [PDF]

Proceedings of the National Academy of Sciences of the United States of America, 2021
Significance Accurate simulation of fluids is important for many science and engineering problems but is very computationally demanding. In contrast, machine-learning models can approximate physics very quickly but at the cost of accuracy.
Dmitrii Kochkov, Jamie A. Smith, Ayya Alieva, Qing Wang, M. Brenner, Stephan Hoyer   +5 more
semanticscholar   +1 more source

Computational Structural Engineering: Past Achievements and Future Challenges

Frontiers in Built Environment, 2018
Vagelis Plevris, George C. Tsiatas
doaj   +3 more sources

Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering

Computer Methods in Applied Mechanics and Engineering, 2021
In this work, a unified AI-framework named Hierarchical Deep Learning Neural Network (HiDeNN) is proposed to solve challenging computational science and engineering problems with little or no available physics as well as with extreme computational demand.
Sourav Saha, Zhengtao Gan, Lin Cheng, Jiaying Gao, O. Kafka, Xiaoyu Xie, Hengyang Li, M. Tajdari, H. A. Kim, Wing Kam Liu   +9 more
semanticscholar   +1 more source

Computational Intelligence in Marine Control Engineering Education

Polish Maritime Research, 2021
This paper presents a new approach to the existing training of marine control engineering professionals using artificial intelligence. We use optimisation strategies, neural networks and game theory to support optimal, safe ship control by applying the ...
Lisowski Józef
doaj   +1 more source

Computational Approaches in Membrane Science and Engineering

Computation, 2020
Computational modelling and simulation form a consolidated branch in the multidisciplinary field of membrane science and technology [...]
Alessio Fuoco, Giorgio De Luca, Elena Tocci, Johannes Carolus Jansen   +3 more
doaj   +1 more source

In silico screening of 393 mutants facilitates enzyme engineering of amidase activity in CalB [PDF]

PeerJ, 2013
Our previously presented method for high throughput computational screening of mutant activity (Hediger et al., 2012) is benchmarked against experimentally measured amidase activity for 22 mutants of Candida antarctica lipase B (CalB).
Martin R. Hediger, Luca De Vico, Julie B. Rannes, Christian Jäckel, Werner Besenmatter, Allan Svendsen, Jan H. Jensen   +6 more
doaj   +2 more sources

Computational Challenges in Tissue Engineering for the Spine

Bioengineering, 2021
This paper deals with a brief review of the recent developments in computational modelling applied to innovative treatments of spine diseases. Additionally, it provides a perspective on the research directions expected for the forthcoming years.
André P. G. Castro
doaj   +1 more source

Computing as Engineering [PDF]

J. Univers. Comput. Sci., 2009
JUCS - Journal of Universal Computer Science Volume Nr.
openaire   +1 more source

Artificial Intelligence and Computational Issues in Engineering Applications

Entropy, 2022
High-performance supercomputers and emerging computing clusters created in research and development centres are rapidly increasing available computing power, which scientists are eager to use to implement increasingly advanced computing methods [...]
Karolina Grabowska, Jaroslaw Krzywanski, Marcin Sosnowski, Dorian Skrobek   +3 more
doaj   +1 more source