Rainald Löhner

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 19

Top Topics

Data Assimilation

Lattice Boltzmann

Unconstrained Optimization

Top Venues

J. Comput. Phys.

Int. J. High Perform. Comput. Appl.

Mach. Learn. Sci. Technol.

Publications

Rainald Löhner, Harbir Antil, Fernando Mut, Juan R. Cebral
Adjoint-based estimation of sensitivity of clinical measures to boundary conditions for arteries. J. Comput. Phys. 497 (2024)
Rainald Löhner, Facundo N. Airaudo, Harbir Antil, Roland Wüchner, Fabian Meister, Suneth Warnakulasuriya
High-Fidelity Digital Twins: Detecting and Localizing Weaknesses in Structures. CoRR (2023)
Facundo N. Airaudo, Harbir Antil, Rainald Löhner, Umarkhon Rakhimov
On The Use of Risk Measures in Digital Twins to Identify Weaknesses in Structures. CoRR (2023)
Facundo N. Airaudo, Rainald Löhner, Roland Wüchner, Harbir Antil
Adjoint-based Determination of Weaknesses in Structures. CoRR (2023)
Lingquan Li, Rainald Löhner, Aditya K. Pandare, Hong Luo
A vertex-centered finite volume method with interface sharpening technique for compressible two-phase flows. J. Comput. Phys. 460 (2022)
Rainald Löhner, Harbir Antil, Juan Marcelo Giménez, Sergio Idelsohn, Eugenio Oñate
A Deterministic Pathogen Transmission Model Based on High-Fidelity Physics. CoRR (2022)
Rainald Löhner, Harbir Antil
Neural Network Representation of Time Integrators. CoRR (2022)
Harbir Antil, Rainald Löhner, Randy Price
NINNs: Nudging Induced Neural Networks. CoRR (2022)
Harbir Antil, Rainald Löhner, Randy Price
Data Assimilation with Deep Neural Nets Informed by Nudging. CoRR (2021)
Harbir Antil, Ratna Khatri, Rainald Löhner, Deepanshu Verma
Fractional deep neural network via constrained optimization. Mach. Learn. Sci. Technol. 2 (1) (2021)
Thomas S. Brown, Harbir Antil, Rainald Löhner, Fumiya Togashi, Deepanshu Verma
Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows. ISC Workshops (2021)
Karl-Robert Wichmann, Martin Kronbichler, Rainald Löhner, Wolfgang A. Wall
A runtime based comparison of highly tuned lattice Boltzmann and finite difference solvers. Int. J. High Perform. Comput. Appl. 35 (4) (2021)
Thomas S. Brown, Harbir Antil, Rainald Löhner, Fumiya Togashi, Deepanshu Verma
Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows. CoRR (2021)
Muhammad Baqui, Manar D. Samad, Rainald Löhner
A novel framework for automated monitoring and analysis of high density pedestrian flow. J. Intell. Transp. Syst. 24 (6) (2020)
Rainald Löhner, Harbir Antil, Sergio Idelsohn, Eugenio Oñate
Detailed Simulation of Viral Propagation In The Built Environment. CoRR (2020)
Muhammad Baqui, Rainald Löhner
PedPIV: Pedestrian Velocity Extraction From Particle Image Velocimetry. IEEE Trans. Intell. Transp. Syst. 21 (2) (2020)
Harbir Antil, Ratna Khatri, Rainald Löhner, Deepanshu Verma
Fractional Deep Neural Network via Constrained Optimization. CoRR (2020)
Rainald Löhner, Harbir Antil
Revisiting Calderon's Problem. CoRR (2019)
Karl-Robert Wichmann, Martin Kronbichler, Rainald Löhner, Wolfgang A. Wall
Practical applicability of optimizations and performance models to complex stencil-based loop kernels in CFD. Int. J. High Perform. Comput. Appl. 33 (4) (2019)
Romain Aubry, Kaan Karamete, Eric L. Mestreau, Saikat Dey, Rainald Löhner
Linear Sources for Mesh Generation. SIAM J. Sci. Comput. 35 (2) (2013)
Adrien Loseille, Rainald Löhner
Robust Boundary Layer Mesh Generation. IMR (2012)
Fernando Camelli, Jyh-Ming Lien, Dayong Shen, David W. Wong, Matthew Rice, Rainald Löhner, Chaowei Yang
Generating seamless surfaces for transport and dispersion modeling in GIS. GeoInformatica 16 (2) (2012)
Rainald Löhner
A 2nd Generation Parallel Advancing Front Grid Generator. IMR (2012)
Adrien Loseille, Rainald Löhner
On 3D Anisotropic Local Remeshing for Surface, Volume and Boundary Layers. IMR (2009)
Perumal Nithiarasu, Rainald Löhner
(IJNMBE) from 1st January 2010. Numer. Linear Algebra Appl. 16 (11-12) (2009)
Hong Luo, Joseph D. Baum, Rainald Löhner
A discontinuous Galerkin method based on a Taylor basis for the compressible flows on arbitrary grids. J. Comput. Phys. 227 (20) (2008)
Romain Aubry, Fernando Mut, Rainald Löhner, Juan R. Cebral
Deflated preconditioned conjugate gradient solvers for the Pressure-Poisson equation. J. Comput. Phys. 227 (24) (2008)
F. Perazzo, Rainald Löhner, L. Pérez-Pozo
Adaptive methodology for meshless finite point method. Adv. Eng. Softw. 39 (3) (2008)
Hong Luo, Joseph D. Baum, Rainald Löhner
A Hermite WENO-based limiter for discontinuous Galerkin method on unstructured grids. J. Comput. Phys. 225 (1) (2007)
Hong Luo, Joseph D. Baum, Rainald Löhner
A hybrid Cartesian grid and gridless method for compressible flows. J. Comput. Phys. 214 (2) (2006)
Juan R. Cebral, Rainald Löhner
Efficient simulation of blood flow past complex endovascular devices using an adaptive embedding technique. IEEE Trans. Medical Imaging 24 (4) (2005)
Rainald Löhner, Juan R. Cebral, Chi Yang, Joseph D. Baum, Eric L. Mestreau, Charles Charman, Daniele Pelessone
Large-scale fluid-structure interaction simulations. Comput. Sci. Eng. 6 (3) (2004)
Juan R. Cebral, Rainald Löhner, Peter L. Choyke, Peter J. Yim
Parallel Patient-Specific Computational Haemodynamics. PARA (2002)
Rainald Löhner, Joseph D. Baum, Charles Charman, Daniele Pelessone
Fluid-Structure Interaction Simulations Using Parallel Computers. VECPAR (2002)
Joseph D. Baum, Hong Luo, Eric L. Mestreau, Dmitri Sharov, Rainald Löhner, Daniele Pelessone, Charles Charman
Recent Developments of a Coupled CFD/CSD Methodology. International Conference on Computational Science (1) (2001)
Juan R. Cebral, Rainald Löhner, Orlando Soto, Peter L. Choyke, Peter J. Yim
Patient-Specific Simulation of Carotid Artery Stenting Using Computational Fluid Dynamics. MICCAI (2001)
Juan R. Cebral, Rainald Löhner
From Medical Images to CFD Meshes. IMR (1999)
Rainald Löhner, Juan R. Cebral
Parallel Advancing Front Grid Generation. IMR (1999)