Martin Frank

Martin Frank

Karlsruher Institut für Technologie

H-index: 26

Europe-Germany

About Martin Frank

Martin Frank, With an exceptional h-index of 26 and a recent h-index of 16 (since 2020), a distinguished researcher at Karlsruher Institut für Technologie,

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

Asymptotic-preserving and energy stable dynamical low-rank approximation for thermal radiative transfer equations

Wie viel Mathe steckt in mathematischer Modellierung?–Eine Antwort am Beispiel der Optimierung

Numerical solution of a parameter estimation problem arising in Prompt-Gamma Neutron Activation Analysis

Essential parameters needed for a U-Net-based segmentation of individual bones on planning CT images in the head and neck region using limited datasets for radiotherapy application

Structure-preserving neural networks for the regularzied entropy-based closure of the Boltzmann moment system

Segmentation of 71 Anatomical Structures Necessary for the Evaluation of Guideline-Conforming Clinical Target Volumes in Head and Neck Cancers

Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations

Multivariate error modeling and uncertainty quantification using importance (re-) weighting for Monte Carlo simulations in particle transport

Martin Frank Information

University

Position

Computational Science & Mathematical Methods Steinbuch Center for Computing

Citations(all)

2179

Citations(since 2020)

1018

Cited By

1500

hIndex(all)

26

hIndex(since 2020)

16

i10Index(all)

61

i10Index(since 2020)

36

Email

University Profile Page

Karlsruher Institut für Technologie

Google Scholar

View Google Scholar Profile

Top articles of Martin Frank

Title

Journal

Author(s)

Publication Date

Asymptotic-preserving and energy stable dynamical low-rank approximation for thermal radiative transfer equations

arXiv preprint arXiv:2402.16746

Chinmay Patwardhan

Martin Frank

Jonas Kusch

2024/2/26

Wie viel Mathe steckt in mathematischer Modellierung?–Eine Antwort am Beispiel der Optimierung

Der Mathematikunterricht

Sarah Schönbrodt

Martin Frank

2024/2

Numerical solution of a parameter estimation problem arising in Prompt-Gamma Neutron Activation Analysis

Applied Mathematics in Science and Engineering

Alexander Jesser

Kai Krycki

Martin Frank

2024/12/31

Essential parameters needed for a U-Net-based segmentation of individual bones on planning CT images in the head and neck region using limited datasets for radiotherapy application

Physics in Medicine & Biology

Ama Katseena Yawson

Alexandra Walter

Nora Wolf

Sebastian Klüter

Philip Hoegen

...

2024/1/24

Structure-preserving neural networks for the regularzied entropy-based closure of the Boltzmann moment system

arXiv preprint arXiv:2404.14312

Steffen Schotthöfer

M Paul Laiu

Martin Frank

Cory D Hauck

2024/4/22

Segmentation of 71 Anatomical Structures Necessary for the Evaluation of Guideline-Conforming Clinical Target Volumes in Head and Neck Cancers

Cancers

Alexandra Walter

Philipp Hoegen-Saßmannshausen

Goran Stanic

Joao Pedro Rodrigues

Sebastian Adeberg

...

2024/1/18

Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations

arXiv preprint arXiv:2402.16613

Jae Yong Lee

Steffen Schotthöfer

Tianbai Xiao

Sebastian Krumscheid

Martin Frank

2024/2/26

Multivariate error modeling and uncertainty quantification using importance (re-) weighting for Monte Carlo simulations in particle transport

Journal of Computational Physics

Pia Stammer

Lucas Burigo

Oliver Jäkel

Martin Frank

Niklas Wahl

2023/1/15

From school mathematics to artificial neural networks: Developing a mathematical model to predict life expectancy

Stephan Kindler

Sarah Schönbrodt

Martin Frank

2023/7/10

Segmentation of seventy-one anatomical structures necessary for the evaluation of guideline-conform clinical target volumes in head and neck cancers

Alexandra Walter

Philipp Hoegen

Goran Stanic

Joao Pedro Rodrigues

Sebastian Adeberg

...

2023/12/20

KCDS: Die Graduiertenschule Computational and Data Science am KIT

Mitteilungen der Deutschen Mathematiker-Vereinigung

Uwe Ehret

Martin Frank

Angela Hühnerfuß

2023/6/30

Improvement of temperature uniformity by using novel guide vanes in solar external receiver tubes

Applied Thermal Engineering

Yun Long

Zecan Tu

Daniela Piccioni Koch

Martin Frank

Rongsheng Zhu

2023/10/1

Implicit propagation of directly addressed grids in lattice Boltzmann methods

Concurrency and Computation: Practice and Experience

Adrian Kummerländer

Márcio Dorn

Martin Frank

Mathias J Krause

2023/4/10

RelaxNet: A structure-preserving neural network to approximate the Boltzmann collision operator

Journal of Computational Physics

Tianbai Xiao

Martin Frank

2023/10/1

A flux reconstruction stochastic Galerkin scheme for hyperbolic conservation laws

Journal of Scientific Computing

Tianbai Xiao

Jonas Kusch

Julian Koellermeier

Martin Frank

2023/4

Predicting continuum breakdown with deep neural networks

Journal of Computational Physics

Tianbai Xiao

Steffen Schotthöfer

Martin Frank

2023/9/15

Constructing relaxation systems for lattice Boltzmann methods

Applied Mathematics Letters

Stephan Simonis

Martin Frank

Mathias J Krause

2023/3/1

AI education as a starting point for interdisciplinary STEM projects

Sarah Schönbrodt

Katja Hoeffer

Martin Frank

2023/7/10

A parallel-in-time collocation method using diagonalization: theory and implementation for linear problems

Communications in Applied Mathematics and Computational Science

Gayatri Čaklović

Robert Speck

Martin Frank

2023/12/21

Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation.

Steffen Schotthöfer

Tianbai Xiao

Martin Frank

Cory D Hauck

2022/7

See List of Professors in Martin Frank University(Karlsruher Institut für Technologie)