Matthias Ihme

Professor

Stanford University

United States

Research Interests

Explore related searches

Professors in United States Professors in Fluid Mechanics Fluid Mechanics professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Matthias Ihme is a Professor at Stanford University in the United States. His research focuses on chemical kinetics, reacting flows, and thermodynamic responses in supercritical fluids. He has contributed to the understanding of fire dynamics, detonation wave behavior, and the application of machine learning in these areas, as reflected in his recent publications.

Articles (29)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (4)

Paul Schwerdtner

Technische Universität Berlin

GERMANY

View details

Edna Toro Garza

Stanford University

UNITED STATES

View details

Alessandro Stagni

Assistant Professor

Politecnico di Milano

ITALY

View details

Dimosthenis Trimis

Full Professor, Head of Institute

Karlsruher Institut für Technologie

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Matthias Ihme

Research Interests

Explore related searches

Contact this professor

About

Articles (29)

Learning chemical kinetics through data assimilation: Theory and application to ammonia oxidation

A physics-informed machine learning approach for predicting dynamic behavior of reacting flows with application to hydrogen jet flames

Iodine recombination in xenon solvent: Clusters in the gas to liquid-like state transition

Multi-modal effects on indirect noise induced by turbulent entropy fields

Data assimilation of state-indirect observations for constraining detonation wave dynamics

Examining fire spread dynamics in canyon terrain through physics-based modeling: Mechanisms of fire line rotation and non-local fire behavior

Small-scale turbulent characteristics in transcritical wall-bounded flows

Analysis of weak secondary waves in a rotating detonation engine using large-eddy simulation and wavenumber-domain filtering

Analysis of direct and indirect noise in a next-generation aviation gas turbine combustor

Integrated experimental and computational analysis of porous media combustion by combining gas-phase synchrotron uCT, IR-imaging, and pore-resolved simulations

Analysis of residence time distribution in a cavity-stabilized scramjet combustor

Artificial intelligence as a catalyst for combustion science and engineering

Augmenting filtered flame front displacement models for LES using machine learning with a posteriori simulations

Coupling of detonation structure and upstream inhomogeneities in a rotating detonation engine

Ensemble predictions of laser ignition with a hybrid stochastic physics-embedded deep-learning framework

Uncertainty quantification in coupled wildfire–atmosphere simulations at scale

Heterogeneous Cluster Energetics and Nonlinear Thermodynamic Response in Supercritical Fluids

Direct observation of ultrafast cluster dynamics in supercritical carbon dioxide using X-ray Photon Correlation Spectroscopy

An enrichment wall modeling framework for spectral element methods

Improving volume-averaged simulations of matrix-stabilized combustion through direct X-ray µCT characterization: Application to NH3/H2-air combustion

Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved Wildfire Spread Behavior

Analysis of ducted fuel injection at high-pressure transcritical conditions using large-eddy simulations

Supercritical fluids behave as complex networks

Experimental and numerical investigation of flame stabilization and pollutant formation in matrix stabilized ammonia-hydrogen combustion

Cost-constrained adaptive simulations of transient spray combustion in a gas turbine combustor

A Review of Physics-Informed Machine Learning in Fluid Mechanics

Corrosive Influence of Carbon Dioxide on Crack Initiation in Quartz: Comparison With Liquid Water and Vacuum Environments

Combustion of lean ammonia-hydrogen fuel blends in a porous media burner

Dynamics and structure of detonations in stratified product-gas diluted mixtures

Collaborators (4)

Paul Schwerdtner

Edna Toro Garza

Alessandro Stagni

Dimosthenis Trimis

Make your next move.