E-LIB Suche - Ergebnisse für: Juniper, Matthew

1

Physics-informed deep learning for simultaneous surrogate m..:

Sun, Yubiao ; Sengupta, Ushnish ; Juniper, Matthew
Computer Methods in Applied Mechanics and Engineering. 411 (2023) - p. 116042 , 2023

Link: https://doi.org/10.1016/..

2

Physics-informed Deep Learning for Flow Modelling and Aerod..:

, In: 2022 IEEE Symposium Series on Computational Intelligence (SSCI),

Sun, Yubiao ; Sengupta, Ushnish ; Juniper, Matthew - p. 1149-1155 , 2022

Link: https://doi.org/10.1109/..

3

Bifurcation scenario for a two-dimensional static airfoil e..:

Busquet, Denis ; Marquet, Olivier ; Richez, François..
Journal of Fluid Mechanics. 928 (2021) - p. , 2021

Link: https://doi.org/10.1017/..

4

Analysis and Low-Order Modeling of Interactions between Aco..:

Steinbacher, Thomas , 2019

Link: http://nbn-resolving.de/..

5

Book Review:

Juniper, Matthew
Journal of Fluid Mechanics. 766 (2015) - p. 656-658 , 2015

Link: https://doi.org/10.1017/..

6

Matrix-free continuation of limit cycles for bifurcation an..:

Waugh, Iain ; Illingworth, Simon ; Juniper, Matthew
Journal of Computational Physics. 240 (2013) - p. 225-247 , 2013

Link: https://doi.org/10.1016/..

7

Density ratio effects on reacting bluff-body flow field cha..:

Emerson, Benjamin ; O'Connor, Jacqueline ; Juniper, Matthew.
Journal of Fluid Mechanics. 706 (2012) - p. 219-250 , 2012

Link: https://doi.org/10.1017/..

8

Edge Diffusion Flame Stabilization Behind a Step over a Liq..:

Juniper, Matthew ; Candel, Sebastien
Journal of Propulsion and Power. 19 (2003) 3 - p. 332-341 , 2003

Link: https://doi.org/10.2514/..

9

The effect of damköhler number on the stand-off distance of..:

Juniper, Matthew ; Candel, Sébastien
Combustion Theory and Modelling. 7 (2003) 3 - p. 563-577 , 2003

Link: https://doi.org/10.1088/..

10

The extinction limits of a hydrogen counterflow diffusion f..:

Juniper, Matthew ; Darabiha, Nasser ; Candel, Sébastien
Combustion and Flame. 135 (2003) 1-2 - p. 87-96 , 2003

Link: https://doi.org/10.1016/..

11

The effect of flame curvature and flame base movement on th..:

Giannotta, Alessandro ; Cherubini, Stefania ; De Palma, Pietro.
Combustion and Flame. 259 (2024) - p. 113179 , 2024

Link: https://doi.org/10.1016/..

12

Optimal experiment design with adjoint-accelerated Bayesian..:

Yoko, Matthew ; Juniper, Matthew P.
Data-Centric Engineering. 5 (2024) - p. , 2024

Link: https://doi.org/10.1017/..

13

Adjoint-accelerated Bayesian inference applied to the therm..:

Yoko, Matthew ; Juniper, Matthew P.
Journal of Fluid Mechanics. 985 (2024) - p. , 2024

Link: https://doi.org/10.1017/..

14

Shape sensitivity of thermoacoustic oscillations in an annu..:

Ekici, Ekrem ; Falco, Stefano ; Juniper, Matthew P.
Computer Methods in Applied Mechanics and Engineering. 418 (2024) - p. 116572 , 2024

Link: https://doi.org/10.1016/..

15

Machine Learning for Thermoacoustics:

, In: Lecture Notes in Energy; Machine Learning and Its Application to Reacting Flows,

Juniper, Matthew P. - p. 307-337 , 2023

Link: https://doi.org/10.1007/..