Tauwald, Sandra Melina;Quadrio, Maurizio;Rütten, Markus;Stemmer, Christian;Krenkel, Lars
High Spatial Resolution Tomo-PIV of the Trachea Focussing on the Physiological Breathing Cycle
Notes on Numerical Fluid Mechanics and Multidisciplinary Design
Springer Nature Switzerland
2023

Stipic, Marija;Basara, Branislav;Schmidt, Steffen J.;Adams, Nikolaus A.
Tabulated Chemistry Combustion Model for Cost-Effective Numerical Simulation of Dual-Fuel Combustion Process
Energies
2023
16
24
8040

Henrichs, Julian;Hilbert, Jimmy;Rosenberg, Ronald;Forêt, Pierre;Giglmaier, Marcus;Adams, Nikolaus
Experimental Investigation and Visualization of the Transonic Gas Flow in an Industrial Scale Test Bench for Metal Powder Atomization
Euro PM2023 Proceedings
EPMA
2023

Riahi, Farbod;Bußmann, Alexander;Doñate-Buendia, Carlos;Adami, Stefan;Adams, Nicolaus A.;Barcikowski, Stephan;Gökce, Bilal
Characterizing bubble interaction effects in synchronous-double-pulse laser ablation for enhanced nanoparticle synthesis
Photonics Research
2023
11
12
2054

Zhang, Wenbin;Fleischmann, Nico;Adami, Stefan;Adams, Nikolaus A.
A hybrid WENO5IS-THINC reconstruction scheme for compressible multiphase flows
Journal of Computational Physics
2024
498
112672

Ren, Yaru;Khayyer, Abbas;Lin, Pengzhi;Hu, Xiangyu
Numerical modeling of sloshing flow interaction with an elastic baffle using SPHinXsys
Ocean Engineering
2023
267
113110

Li, Yue;Fu, Lin;Adams, Nikolaus A.
A six-point shock-capturing scheme with neural network
AIP Conference Proceedings
AIP Publishing
2023

Wimmer, Andreas;Panzer, Hannes;Zoeller, Christopher;Adami, Stefan;Adams, Nikolaus A.;Zaeh, Michael F.
Experimental and numerical investigations of the hot cracking susceptibility during the powder bed fusion of AA 7075 using a laser beam
Progress in Additive Manufacturing
2023

Katzenmeier, Lukas;Hilfer, Michael;Stegmüller, Julius;Breitsamter, Christian
Application of fast-response pressure sensitive paint to low-speed vortical flow at high angles of attack
Experiments in Fluids
2023
64
10

Toshev, Artur P.;Galletti, Gianluca;Brandstetter, Johannes;Adami, Stefan;Adams, Nikolaus A.
Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks
Lecture Notes in Computer Science
Springer Nature Switzerland
2023