Nikolaus A. Adams

Full Professor, Technische Universität München

Joined

January 2022

Names

Nikolaus A. Adams (Preferred)

Emails

****@tum.de (Confirmed)

Personal Links

Google Scholar

ORCID

Wikipedia

Career & Education History

Full Professor

Technische Universität München (tum.de)

2004 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

HydroGym: A Reinforcement Learning Platform for Fluid Dynamics
Christian Lagemann, Sajeda Mokbel, Mira Gondrum, Mario Ruettgers, Jared Callaham, Ludger Paehler, Samuel Ahnert, Nicholas F Zolman, Kai Lagemann, Nikolaus A. Adams, Matthias Meinke, Wolfgang Schroeder, Jean-Christophe LOISEAU, Esther Lagemann, Steven Brunton
- arXiv
- Readers: Everyone
Laser- and shock-induced droplet dynamics: A machine learning benchmark for complex multiphase flows
Harish Ramachandran, Sahba Zehisaadat, Luisa Ortner, Thomas Paula, Josef M. Winter, Steffen Schmidt, Nikolaus A. Adams
- Submitted to ICLR 2026
- Readers: Everyone
On Learning Quasi-Lagrangian Turbulence
Artur P. Toshev, Teodor Kalinov, Nicholas Gao, Stephan Günnemann, Nikolaus A. Adams
- ICLR 2025 Workshop MLMP Poster
- Readers: Everyone
UPT++: Latent Point Set Neural Operators for Modeling System State Transitions
Andreas Fürst, Florian Sestak, Artur P. Toshev, Benedikt Alkin, Nikolaus A. Adams, Andreas Mayr, Günter Klambauer, Johannes Brandstetter
- ICLR 2025 Workshop MLMP Poster
- Readers: Everyone
UPT++: Latent Point Set Neural Operators for Modeling System State Transitions
Andreas Fürst, Florian Sestak, Artur Petrov Toshev, Benedikt Alkin, Nikolaus A. Adams, Andreas Mayr, Günter Klambauer, Johannes Brandstetter
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
Artur Toshev, Harish Ramachandran, Jonas A. Erbesdobler, Gianluca Galletti, Johannes Brandstetter, Nikolaus A. Adams
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
Artur Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter
- AI4DiffEqtnsInSci @ ICLR 2024 Poster
- Readers: Everyone
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
Artur Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter
- ICML 2024 Poster
- Readers: Everyone
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
Artur Toshev, Gianluca Galletti, Fabian Fritz, Stefan Adami, Nikolaus A. Adams
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
E($3$) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics
Artur Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams
- Published: 03 Mar 2023, Last Modified: 23 Mar 2023
- Physics4ML Poster
- Readers: Everyone

View all 11 publications

Co-Authors

View all 37 co-authors