Zobrazeno 1 - 10
of 817
pro vyhledávání: '"Jones, Matthew R."'
Autor:
Yuan, Lin, Bourgeois, Briley B., Begin, Elijah, Zhang, Yirui, Dai, Alan X., Cheng, Zhihua, McKeown-Green, Amy S., Xue, Zhichen, Cui, Yi, Xu, Kun, Wang, Yu, Jones, Matthew R., Majumdar, Arun, Bao, Junwei Lucas, Dionne, Jennifer A.
Ammonia is a key component of fertilizer and a potential clean fuel and hydrogen carrier. The Haber-Bosch process for ammonia synthesis consumes more than half of industrial hydrogen and contributes up to ~3% of global greenhouse gas emissions. Light
Externí odkaz:
http://arxiv.org/abs/2410.01300
Autor:
Shi, Chuqiao, Cheng, Zhihua, Leonardi, Alberto, Yang, Yao, Engel, Michael, Jones, Matthew R., Han, Yimo
Engineering strain critically affects the properties of materials and has extensive applications in semiconductors and quantum systems. However, the deployment of strain-engineered nanocatalysts faces challenges, particularly in maintaining highly st
Externí odkaz:
http://arxiv.org/abs/2407.18374
Autor:
Haywood-Alexander, Marcus, Mills, Robin S., Champneys, Max D., Jones, Matthew R., Bonney, Matthew S., Wagg, David, Rogers, Timothy J.
Research developments for structural dynamics in the fields of design, system identification and structural health monitoring (SHM) have dramatically expanded the bounds of what can be learned from measured vibration data. However, significant challe
Externí odkaz:
http://arxiv.org/abs/2310.04478
Autor:
Cross, Elizabeth J, Rogers, Timothy J, Pitchforth, Daniel J, Gibson, Samuel J, Jones, Matthew R
Despite the growing availability of sensing and data in general, we remain unable to fully characterise many in-service engineering systems and structures from a purely data-driven approach. The vast data and resources available to capture human acti
Externí odkaz:
http://arxiv.org/abs/2309.10656
In practice, non-destructive testing (NDT) procedures tend to consider experiments (and their respective models) as distinct, conducted in isolation and associated with independent data. In contrast, this work looks to capture the interdependencies b
Externí odkaz:
http://arxiv.org/abs/2305.08657
Autor:
Cross, Elizabeth J, Gibson, Samuel J, Jones, Matthew R, Pitchforth, Daniel J, Zhang, Sikai, Rogers, Timothy J
The use of machine learning in Structural Health Monitoring is becoming more common, as many of the inherent tasks (such as regression and classification) in developing condition-based assessment fall naturally into its remit. This chapter introduces
Externí odkaz:
http://arxiv.org/abs/2206.15303
The automated localisation of damage in structures is a challenging but critical ingredient in the path towards predictive or condition-based maintenance of high value structures. The use of acoustic emission time of arrival mapping is a promising ap
Externí odkaz:
http://arxiv.org/abs/2206.01495
Autor:
Wang, Xingxing, Jones, Matthew R., Pan, Zezhen, Lu, Xiaohan, Deng, Yamin, Zhu, Mengqiang, Wang, Zimeng
Publikováno v:
In Water Research 1 October 2024 263
Autor:
Shi, Chuqiao, Cao, Michael C., Rehn, Sarah M., Bae, Sang-Hoon, Kim, Jeehwan, Jones, Matthew R., Muller, David A., Han, Yimo
Understanding lattice deformations is crucial in determining the properties of nanomaterials, which can become more prominent in future applications ranging from energy harvesting to electronic devices. However, it remains challenging to reveal unexp
Externí odkaz:
http://arxiv.org/abs/2111.06496