Nils Thuerey

Nils Thuerey

Technische Universität München

H-index: 49

Europe-Germany

About Nils Thuerey

Nils Thuerey, With an exceptional h-index of 49 and a recent h-index of 31 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Numerical Simulation, Deep Learning, PDEs, Fluids Mechanics.

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

Deep learning-based predictive modelling of transonic flow over an aerofoil

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics

: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy

How Temporal Unrolling Supports Neural Physics Simulators

Reviving autoencoder pretraining

Turbulent flow simulation using autoregressive conditional diffusion models

Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models

Towards high-accuracy deep learning inference of compressible flows over aerofoils

Nils Thuerey Information

University

Position

___

Citations(all)

8454

Citations(since 2020)

5286

Cited By

4551

hIndex(all)

49

hIndex(since 2020)

31

i10Index(all)

97

i10Index(since 2020)

87

Email

University Profile Page

Technische Universität München

Google Scholar

View Google Scholar Profile

Nils Thuerey Skills & Research Interests

Numerical Simulation

Deep Learning

PDEs

Fluids Mechanics

Top articles of Nils Thuerey

Title

Journal

Author(s)

Publication Date

Deep learning-based predictive modelling of transonic flow over an aerofoil

arXiv preprint arXiv:2403.17131

Li-Wei Chen

Nils Thuerey

2024/3/25

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics

arXiv preprint arXiv:2403.16680

Rene Winchenbach

Nils Thuerey

2024/3/25

: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy

Journal of Open Source Software

Philipp Holl

Nils Thuerey

2024/3/1

How Temporal Unrolling Supports Neural Physics Simulators

arXiv preprint arXiv:2402.12971

Bjoern List

Li-Wei Chen

Kartik Bali

Nils Thuerey

2024/2/20

Reviving autoencoder pretraining

Neural Computing and Applications

You Xie

Nils Thuerey

2023/2

Turbulent flow simulation using autoregressive conditional diffusion models

arXiv preprint arXiv:2309.01745

Georg Kohl

Li-Wei Chen

Nils Thuerey

2023/9/4

Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models

arXiv preprint arXiv:2312.05320

Qiang Liu

Nils Thuerey

2023/12/8

Towards high-accuracy deep learning inference of compressible flows over aerofoils

Computers & Fluids

Li-Wei Chen

Nils Thuerey

2023/1/15

Unsteady cylinder wakes from arbitrary bodies with differentiable physics-assisted neural network

arXiv preprint arXiv:2308.04296

Shuvayan Brahmachary

Nils Thuerey

2023/8/8

Control of reacting flows with hybrid differentiable/deep learning flow solver

Bulletin of the American Physical Society

Nilam Tathawadekar

Camilo Silva

Nils Thuerey

Nguyen Anh Khoa Doan

2023/11/19

AI based Larde Eddy Simulations for Turbulence in Fusion Reactors

R Greif

F Jenko

N Thuerey

2023

Learning similarity metrics for volumetric simulations with multiscale CNNs

Proceedings of the AAAI Conference on Artificial Intelligence

Georg Kohl

Li-Wei Chen

Nils Thuerey

2023/6/26

Stabilizing Backpropagation Through Time to Learn Complex Physics

Patrick Schnell

Nils Thuerey

2023/10/13

Incomplete to complete multiphysics forecasting: a hybrid approach for learning unknown phenomena

Data-Centric Engineering

Nilam N Tathawadekar

Nguyen Anh Khoa Doan

Camilo F Silva

Nils Thuerey

2023/1

Exploring Physical Latent Spaces for Deep Learning

Chloe Paliard

Nils Thuerey

Kiwon Um

2023/4/27

Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence

arXiv preprint arXiv:2309.16400

Robin Greif

Frank Jenko

Nils Thuerey

2023/9/28

Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision

arXiv preprint arXiv:2302.14470

Erik Franz

Barbara Solenthaler

Nils Thuerey

2023/2/28

A Gradient Flow Modification to Improve Learning from Differentiable Quantum Simulators

Patrick Schnell

Nils Thuerey

2023/9/17

Solving Inverse Physics Problems with Score Matching

Advances in Neural Information Processing Systems

Benjamin Holzschuh

Simona Vegetti

Nils Thuerey

2023/12/15

Learned turbulence modelling with differentiable fluid solvers

arXiv e-prints

Björn List

Li-Wei Chen

Nils Thuerey

2022/2

See List of Professors in Nils Thuerey University(Technische Universität München)

Co-Authors

H-index: 62
Greg Turk

Greg Turk

Georgia Institute of Technology

H-index: 57
Westermann Rüdiger

Westermann Rüdiger

Technische Universität München

H-index: 50
Ulrich Rüde

Ulrich Rüde

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 41
Doug L. James

Doug L. James

Stanford University

H-index: 28
Chris Wojtan

Chris Wojtan

Institute of Science and Technology Austria

H-index: 26
Theodore Kim

Theodore Kim

Yale University

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