User: Guest  Login
Sort by:
and:
More ...

Ekström Kelvinius, Filip;Georgiev, Dimitar;Toshev, Artur;Gasteiger, Johannes
Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Advances in Neural Information Processing Systems
Curran Associates, Inc.
2023

More ...

Toshev, Artur;Galletti, Gianluca;Fritz, Fabian;Adami, Stefan;Adams, Nikolaus
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
Advances in Neural Information Processing Systems
Curran Associates, Inc.
2023

More ...

Lyu, Shiyu;Kou, Jiaqing;Adams, Nikolaus A.
Machine-learning-augmented domain decomposition method for near-wall turbulence modeling
Physical Review Fluids
2024
9
4

More ...

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

More ...

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

More ...

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

More ...

Lu, Jinhua;Adams, Nikolaus A.
General mechanisms for stabilizing weakly compressible multiphase models and their applications
International Journal of Multiphase Flow
2023
169
104614

More ...

Feng, Yiqi;Schranner, Felix S.;Winter, Josef;Adams, Nikolaus A.
BAYESIAN OPTIMIZATION ON FIFTH-ORDER TARGETED ENO SCHEME FOR COMPRESSIBLE FLOWS
WCCM-APCOM 2022 - 15th World Congress on Computational Mechanics and 8th Asian Pacific Congress on Computational Mechanics: Pursuing the Infinite Potential of Computational Mechanics
15th World Congress on ComputatConference date: 31 July 2022 through 5 August 2022; Conference code: 191140
International Centre for Numerical Methods in Engineering, CIMNE
2022

More ...

Feng, Yiqi;Schranner, Felix S.;Winter, Josef;Adams, Nikolaus A.
A deep reinforcement learning framework for dynamic optimization of numerical schemes for compressible flow simulations
Journal of Computational Physics
2023
493
112436

More ...

Zöller, C.;Adams, N.A.;Adami, S.
Numerical investigation of balling defects in laser-based powder bed fusion of metals with Inconel 718
Additive Manufacturing
2023
73
103658