Prof. Matthew P. Juniper

Prof. Matthew P. Juniper

University of Cambridge

H-index: 41

Europe-United Kingdom

About Prof. Matthew P. Juniper

Prof. Matthew P. Juniper, With an exceptional h-index of 41 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Fluid Mechanics, Thermodynamics.

His recent articles reflect a diverse array of research interests and contributions to the field:

The effect of flame curvature and flame base movement on the frequency response of a conical Bunsen flame

Adjoint-accelerated Bayesian inference applied to the thermoacoustic behaviour of a ducted conical flame

Bayesian Data Assimilation in Cold Flow Experiments on an Industrial Thermoacoustic rig

Rapid Bayesian identification of sparse nonlinear dynamics from scarce and noisy data

Adjoint based shape optimization for thermoacoustic stability of combustors using free form deformation

Shape sensitivity of thermoacoustic oscillations in an annular combustor with a 3D adjoint Helmholtz solver

Inferring flame transfer functions of turbulent conical flames from pressure measurements

Real-time parameter inference of nonlinear bluff-body-stabilized flame models using Bayesian neural network ensembles

Prof. Matthew P. Juniper Information

University

Position

Professor of Thermofluids Dynamics

Citations(all)

5771

Citations(since 2020)

3406

Cited By

3923

hIndex(all)

41

hIndex(since 2020)

30

i10Index(all)

89

i10Index(since 2020)

78

Email

University Profile Page

University of Cambridge

Google Scholar

View Google Scholar Profile

Prof. Matthew P. Juniper Skills & Research Interests

Fluid Mechanics

Thermodynamics

Top articles of Prof. Matthew P. Juniper

Title

Journal

Author(s)

Publication Date

The effect of flame curvature and flame base movement on the frequency response of a conical Bunsen flame

Combustion and Flame

Alessandro Giannotta

Stefania Cherubini

Pietro De Palma

Matthew P Juniper

2024/1/1

Adjoint-accelerated Bayesian inference applied to the thermoacoustic behaviour of a ducted conical flame

Journal of Fluid Mechanics

Matthew Yoko

Matthew P Juniper

2024/4

Bayesian Data Assimilation in Cold Flow Experiments on an Industrial Thermoacoustic rig

Matthew Juniper

Jingquan Zheng

Matthew Yoko

Fischer Andre

Lahiri Claus

2024/3/20

Rapid Bayesian identification of sparse nonlinear dynamics from scarce and noisy data

arXiv preprint arXiv:2402.15357

Lloyd Fung

Urban Fasel

Matthew P Juniper

2024/2/23

Adjoint based shape optimization for thermoacoustic stability of combustors using free form deformation

Ekrem Ekici

Matthew Juniper

2024/4/2

Shape sensitivity of thermoacoustic oscillations in an annular combustor with a 3D adjoint Helmholtz solver

Computer Methods in Applied Mechanics and Engineering

Ekrem Ekici

Stefano Falco

Matthew P Juniper

2024/1/5

Inferring flame transfer functions of turbulent conical flames from pressure measurements

Matthew Yoko

Matthew Juniper

2024/4/2

Real-time parameter inference of nonlinear bluff-body-stabilized flame models using Bayesian neural network ensembles

Maximilian L Croci

Ushnish Sengupta

Ekrem Ekici

Matthew P Juniper

2023/6/26

Learning Bayesian digital twins of flows from PC-MRI data

Bulletin of the American Physical Society

Alexandros Kontogiannis

Matthew Juniper

2023/11/21

Physics-informed deep learning for simultaneous surrogate modeling and PDE-constrained optimization of an airfoil geometry

Computer Methods in Applied Mechanics and Engineering

Yubiao Sun

Ushnish Sengupta

Matthew Juniper

2023/6/1

Bayesian Identification of Nonlinear Dynamics (BINDy)

Bulletin of the American Physical Society

Lloyd Fung

Urban Fasel

Matthew Juniper

2023/11/20

Datan: data assimilation thermo-acoustic network model

Matthew Juniper

2023/3/29

Adjoint-accelerated Bayesian Inference

Bulletin of the American Physical Society

Matthew Juniper

2023/11/20

Machine learning for thermoacoustics

Matthew P Juniper

2023/1/2

Adjoint-based optimization of the actuator velocity profile in an inkjet print head

European Journal of Mechanics-B/Fluids

Petr V Kungurtsev

Matthew P Juniper

2023/7/1

Learning RANS Model Parameters From LES Using Bayesian Inference

Santosh Hemchandra

Anindya Datta

Matthew P Juniper

2023/6/26

Code supporting'Generating a physics-based quantitatively-accurate model of an electrically-heated Rijke tube with Bayesian inference'

Matthew Juniper

Matthew Yoko

2022/5/19

Bayesian parameter inference of a vortically perturbed flame model for the prediction of thermoacoustic instability

Maximilian L Croci

Joel Varun Vasanth

Ushnish Sengupta

Ekrem Ekici

Matthew P Juniper

2022/11/4

Physics-informed Deep Learning for Flow Modelling and Aerodynamic Optimization

Yubiao Sun

Ushnish Sengupta

Matthew Juniper

2022/12/4

Global modes of viscous heated jets with real gas effects

Journal of Fluid Mechanics

S Demange

UA Qadri

MP Juniper

F Pinna

2022/4

See List of Professors in Prof. Matthew P. Juniper University(University of Cambridge)