Nikolaus Adams

About Nikolaus Adams

Nikolaus Adams, With an exceptional h-index of 64 and a recent h-index of 45 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Strömungsmechanik, Strömungsphysik.

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

GAN-based generation of realistic compressible-flow samples from incomplete data

Iron oxide nanoparticle synthesis: Simulation-based comparison of laboratory-and pilot plant-scale spray-flame synthesis

Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics

Amplification of supersonic micro-jets by resonant inertial cavitation-bubble pair

JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework

JAX-Fluids 2.0: Towards HPC for Differentiable CFD of Compressible Two-phase Flows

TUM. Energy

An all-Mach consistent numerical scheme for simulation of compressible multi-component fluids including surface tension, cavitation, turbulence modeling and interface …

Nikolaus Adams Information

University

Position

Professor für Aerodynamik und Strömungsmechanik

Citations(all)

18245

Citations(since 2020)

8678

Cited By

13076

hIndex(all)

64

hIndex(since 2020)

45

i10Index(all)

221

i10Index(since 2020)

155

Email

University Profile Page

Google Scholar

Nikolaus Adams Skills & Research Interests

Strömungsmechanik

Strömungsphysik

Top articles of Nikolaus Adams

Title

Journal

Author(s)

Publication Date

GAN-based generation of realistic compressible-flow samples from incomplete data

Computers & Fluids

Rim Abaidi

Nikolaus A Adams

2024/1/30

Iron oxide nanoparticle synthesis: Simulation-based comparison of laboratory-and pilot plant-scale spray-flame synthesis

Applications in Energy and Combustion Science

Sebastian Klukas

Marcus Giglmaier

Martin Underberg

Sophie M Schnurre

Markus M Prenting

...

2024/4/7

Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics

arXiv preprint arXiv:2402.06275

Artur P Toshev

Jonas A Erbesdobler

Nikolaus A Adams

Johannes Brandstetter

2024/2/9

Amplification of supersonic micro-jets by resonant inertial cavitation-bubble pair

arXiv preprint arXiv:2401.02320

Yuzhe Fan

Alexander Bußmann

Fabian Reuter

Hengzhu Bao

Stefan Adami

...

2024/1/4

JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework

arXiv preprint arXiv:2403.04750

Artur P Toshev

Harish Ramachandran

Jonas A Erbesdobler

Gianluca Galletti

Johannes Brandstetter

...

2024/3/7

JAX-Fluids 2.0: Towards HPC for Differentiable CFD of Compressible Two-phase Flows

arXiv preprint arXiv:2402.05193

Deniz A Bezgin

Aaron B Buhendwa

Nikolaus A Adams

2024/2/7

TUM. Energy

Nikolaus A Adams

Thomas Hamacher

Präsident Prof Dr Thomas F Hofmann

2024

An all-Mach consistent numerical scheme for simulation of compressible multi-component fluids including surface tension, cavitation, turbulence modeling and interface …

Computers & Fluids

Yu Jiao

Steffen J Schmidt

Nikolaus A Adams

2024/2/6

A generalized hybrid method for surfactant dynamics

arXiv preprint arXiv:2403.02100

Yu Fan

Shuoguo Zhang

Xiangyu Hu

Nikolaus A Adams

2024/3/4

Viscoelastic vapor bubble collapse near solid walls and corresponding shock wave formation

Physics of Fluids

Christian Lang

Stefan Adami

Nikolaus A Adams

2024/1/1

A hybrid WENO5IS-THINC reconstruction scheme for compressible multiphase flows

Journal of Computational Physics

Wenbin Zhang

Nico Fleischmann

Stefan Adami

Nikolaus A Adams

2024/2/1

Analysis of the particle relaxation method for generating uniform particle distributions in smoothed particle hydrodynamics

arXiv preprint arXiv:2403.00623

Yu Fan

Xiaoliang Li

Shuoguo Zhang

Xiangyu Hu

Nikolaus A Adams

2024/3/1

Computational study of high-pressure liquid injection process by means of LES and PANS approaches

Atomization and Sprays

Marija Stipic

Branislav Basara

Steffen Schmidt

Nikolaus A Adams

2024

Influence of wall shear stress on the secondary flow in square ducts

International Journal of Heat and Fluid Flow

Alexander Doehring

Thomas Kaller

Steffen J Schmidt

Nikolaus A Adams

2024/2/1

Lagrangebench: A lagrangian fluid mechanics benchmarking suite

Advances in Neural Information Processing Systems

Artur Toshev

Gianluca Galletti

Fabian Fritz

Stefan Adami

Nikolaus Adams

2024/2/13

Algebraically stable SDIRK methods with controllable numerical dissipation for first/second-order time-dependent problems

Journal of Computational Physics

Yazhou Wang

Xiaodai Xue

Kumar K Tamma

Nikolaus A Adams

2024/4/22

E() Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics

arXiv preprint arXiv:2304.00150

Artur P Toshev

Gianluca Galletti

Johannes Brandstetter

Stefan Adami

Nikolaus A Adams

2023/3/31

A 2D hybrid method for interfacial transport of passive scalars

arXiv preprint arXiv:2304.09550

Yu Fan

Yujie Zhu

Xiaoliang Li

Xiangyu Hu

Nikolaus A Adams

2023/4/19

HydroGym: A Reinforcement Learning Control Framework for Fluid Dynamics

Bulletin of the American Physical Society

Ludger Paehler

Jared Callaham

Samuel Ahnert

Nikolaus Adams

Steven Brunton

2023/11/19

Tabulated Chemistry Combustion Model for Cost-Effective Numerical Simulation of Dual-Fuel Combustion Process

Energies

Marija Stipic

Branislav Basara

Steffen J Schmidt

Nikolaus A Adams

2023/12/13

See List of Professors in Nikolaus Adams University(Technische Universität München)