# talks

Alexander Heinlein's talks in reversed chronological order.

## Talks

### 2023

- SIMULAImproving the convergence of pseudo-transient continuation for CFD simulations using neural networksSciML@Simula workshop (Hybrid), Norway, December 1
- DAMUT ColloquiumDecomposing physics-informed neural networksInvited talk. DAMUT Colloquium, University of Twente, Netherlands, October 4
- TU DelftDecomposing physics-informed neural networksNumiercal Analysis group coffee talk. Delft University of Technology, Netherlands, September 8
- DLRNeural networks with physical constraints – Domain decomposition-based network architectures, and model order reductionInvited seminar talk, German Aerospace Center (DLR), July 18
- 4TU.AMISRI Bridging numerical analysis and machine learninge4TU.AMI summer event 2023, TU Delft, June 27
- COMINDSMultilevel domain decomposition-based architectures for physics-informed neural networksInvited talk. Optimization Workshop (Thematic Einstein Semester on Optimization and Machine Learning), Humboldt Universität zu Berlin, Berlin, June 14-16
- COMINDSNeural networks with physical constraints – Domain decomposition-based network architectures, and model order reductionInvited plenary talk. GAMM Workshop on Computational and Mathematical Methods in Data Science, Center for Data and Simulation Science, University of Cologne, Cologne, Germany, May 4-5
- CFC 2023Parallel Domain Decomposition Preconditioning Techniques for Incompressible Fluid Flow Problems22nd IACM Computational Fluids Conference (CFC 2023), Cannes, France, April 25-38
- CFC 2023Surrogate Models for CFD Simulations Based on Convolutional Neural Networks22nd IACM Computational Fluids Conference (CFC 2023), Cannes, France, April 25-38
- SandiaNeural networks with physical constraints, domain decomposition-based network architectures, and model order reductionSeminar talk, Sandia National Laboratories, USA, April 4
- IGCM 2023Neural networks with physical constraints, domain decomposition-based training strategies, and model order reductionInvited plenary lecture. Indo-German conference on Computational Mathematics 2023 (IGCM-2023), Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India, March 27-30
- SIAM CSE23Domain Decomposition Training Strategies for Physics-Informed Neural NetworksSIAM Conference on Computational Science and Engineering (CSE23). RAI Congress Centre, Amsterdam, The Netherlands, February 26 - March 3

### 2022

- SeminarNeural networks with physical constraints, domain decomposition-based training strategies, and model order reductionInvited talk. Scientific Machine Learning seminar series, University of Strathclyde, Glasgow, UK, December 6
- LUH2022Robust, algebraic, and scalable Schwarz preconditioners with extension-based coarse spacesSeminar talk. Leibniz Universität Hannover, Hannover, Germany, December 1
- UDE2022Robust, algebraic, and scalable solvers based on Schwarz domain decomposition methodsKolloquium Ingenieurmathematik, Universität Duisburg-Essen, Essen, Germany, September 15
- ColloquiumAlgebraic Schwarz Domain Decomposition Preconditioners – Parallel Scalability and RobustnessKolloquium des Fachbereichs Mathematik und Informatik, Universität Marburg, Marburg, Germany, July 18
- 4TU.AMIParallel Domain Decomposition Solvers & Scientific Machine Learning4TU.AMI summer event 2022, Eindhoven, The Netherlands, July 5
- SeminarSpectral coarse spaces for overlapping Schwarz methods based on energy-minimizing extensionsSeminar, Ruhr-Universität Bochum, January 13

### 2021

- PPS LectureSurrogate Models for Computational Fluid Dynamics Simulations Using Convolutional Autoencoder Neural Networks and Physical ConstraintsPretty Porous Science Lecture, Universität Stuttgart, December 7
- CIRM 2021Surrogate Models for Computational Fluid Dynamics Simulations Using Convolutional Autoencoder Neural Networks and Physical ConstraintsInvited Lecture. CIRM Conference “Analysis, Control and Numerics for PDE Models of Interest to Physical and Life Sciences”, Levico Terme, Italy, September 20-24
- ColloquiumFast and Robust Overlapping Schwarz Methods – New Developments and an Efficient Parallel Implementation in TrilinosMathematisches Kolloquium, Universität Stuttgart, Online, February 16

### 2020

- DD XXVIFROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica26th International Conference on Domain Decomposition Methods (Virtual), Hong Kong, China, December 7-12
- DD XXVIFlow Predictions Using Convolutional Neural Networks26th International Conference on Domain Decomposition Methods (Virtual), Hong Kong, China, December 7-12
- SeminarInaugural LectureIANS Highlight Seminar, Universität Stuttgart, Germany, October 26
- SimTechSimTech QuickieUniversität Stuttgart, Germany, October 19
- WorkshopComparing Arterial Wall Models for the Curved Tube Fluid-Structure Interaction BenchmarkJahrestreffen GAMM Fachausschuss “Computational Biomechanics” 2020, Bildungszentrum Kloster Banz, Germany, September 21-22
- WorkshopComparing Arterial Wall Models for the Curved Tube Fluid-Structure Interaction BenchmarkWorkshop on Numerical Mathematics and Mechanics, Kevelaer, Germany, February 3-6
- SeminarOverlapping Schwarz preconditioning techniques for nonlinear problemsSeminar, Humboldt-Universität zu Berlin, Germany, January 29
- WorkshopFlow Predictions Using Convolutional Neural NetworksInternational Workshop on Scientific Machine Learning, Universität zu Köln, Germany, January 8-10

### 2019

- ENUMATH 2019Flow predictions using convolutional neural networkENUMATH Conference 2019, Egmond aan Zee, Netherlands, October 2
- ENUMATH 2019FROSch – A framework for parallel Schwarz preconditioners in TrilinosENUMATH Conference 2019, Egmond aan Zee, Netherlands, October 2
- SeminarFROSch – A framework for parallel Schwarz preconditioners in TrilinosSeminar, Sandia National Laboratories, USA, September 3
- MAFELAP 2019The FROSch (Fast and Robust Overlapping Schwarz) Package in Cardiovascular SimulationsMAFELAP 2019, Brunel University London, England, June 19
- EuroTUGFast and Robust Overlapping Schwarz: FROSchEuropean Trilinos User Group Meeting, ETH Zürich, Switzerland, June 11
- DAMUT ColloquiumDesigning robust and efﬁcient domain decomposition methods for highly heterogeneous problems using local spectral information and machine learning techniquesInvited talk. DAMUT Colloquium, University of Twente, Netherlands, May 8
- GAMM 90FROSch – A Parallel Implementation of the GDSW Domain Decomposition Preconditioner in Trilinos90th GAMM Annual Meeting, Vienna, Austria, February 18-22

### 2018

- WorkshopThe FROSch Package in Cardiovascular SimulationsWorkshop on Modeling, Simulation and Optimization of the Cardiovascular System, Magdeburg, Germany, October 22-24
- SeminarFROSch – A Parallel Implementation of the GDSW Domain Decomposition Preconditioner in TrilinosSeminar, EPFL, Lausanne, Switzerland, August 30
- DD XXVFROSch – A Parallel Implementation of the GDSW Domain Decomposition Preconditioner in Trilinos25th International Conference on Domain Decomposition Methods, St. John’s, Newfoundland, Canada, July 23-27
- DD XXVThree-Level Extensions of the GDSW Overlapping Schwarz Preconditioner25th International Conference on Domain Decomposition Methods, St. John’s, Canada, July 23-27
- DD XXVMultiscale Discretizations and Coarse Spaces Based on ACMS25th International Conference on Domain Decomposition Methods, St. John’s, Canada, July 23-27
- ECCM 6FROSch – A Parallel Implementation of the GDSW Domain Decomposition Preconditioner in Trilinos6th European Conference on Computational Mechanics and 7th European Conference on Computational Fluid Dynamics, Glasgow, UK, June 11-15
- GAMM 89FROSch – A Parallel Implementation of the GDSW Domain Decomposition Preconditioner in Trilinos89th GAMM Annual Meeting, Munich, Germany, March 19-23

### 2017

- SNLFROSch – A Parallel Implementation of the GDSW Domain Decomposition Preconditioner in TrilinosSeminar, Sandia National Laboratories, USA, October 9
- PASC17Domain-Decomposition-Based Fluid-Structure Interaction Methods Using Nonlinear Anisotropic Arterial Wall ModelsPASC17 Conference, Lugano, Switzerland, Juni 26-28
- DLRAn Adaptive Coarse Space for the GDSW AlgorithmWorkshop of the German Center for Aerospace and the Mathematical Institute at the Universität zu Köln, Cologne, Germany, March 24
- GAMM 88Domain-Decomposition-Based Fluid-Structure Interaction Methods Using Nonlinear Anisotropic Arterial Wall Models88th GAMM Annual Meeting, Weimar, Germany, March 6-10
- NMMDomain-Decomposition-Based Fluid-Structure Interaction Methods Using Nonlinear Anisotropic Arterial Wall ModelsWorkshop on Numerical Mathematics and Mechanics, Kevelaer, Germany, February 13-15
- DD XIVAn Adaptive Coarse Space for the GDSW Algorithm24th International Conference on Domain Decomposition Methods, Svalbard, Norway, February 6-10

### 2016

- GAMM CSEGAMM CSE Workshop 2016, Kassel, September 8-9
- DLRAn Adaptive Coarse Space for the GDSW AlgorithmWorkshop of the German Center for Aerospace and the Mathematical Institute at the Universität zu Köln, Cologne, March 14
- GAMM 87A parallel implementation of the approximate component mode synthesis special finite element method in 2DJoint Annual Meeting of DMV and GAMM, Braunschweig, Germany, March 7-11
- NMMA parallel implementation of the approximate component mode synthesis special finite element method in 2DWorkshop on Numerical Mathematics and Mechanics, Kevelaer, Germany, February 22-25

### 2015

- ISTDomain-Decomposition-Based Fluid-Structure Interaction Methods using Nonlinear Anisotropic Arterial Wall ModelsWorkshop on Innovative Modeling Techniques for Predictive Medicine, Lisbon, Portugal, November 12
- ENUMATH 2015Domain-Decomposition-Based Fluid-Structure Interaction Methods using Nonlinear Anisotropic Arterial Wall ModelsENUMATH Conference 2015, Ankara, Turkey, September 14-18
- DD XXIIIDomain-Decomposition-Based Fluid-Structure Interaction Methods using Nonlinear Anisotropic Arterial Wall Models23rd International Conference on Domain Decomposition Methods, Jeju Island, Korea, July 6-10
- GAMM 86Fluid-Structure Interaction in Hemodynamics Using Nonlinear, Anisotropic Hyperelastic Wall Models86th GAMM Annual Meeting, Italy, March 23-27
- NMMFluid-Structure Interaction in Hemodynamics Using Nonlinear, Anisotropic Hyperelastic Wall ModelsWorkshop on Numerical Mathematics and Mechanics, Kevelaer, Germany, February 23-25

### 2014

- GrazFluid-Structure Interaction in Hemodynamics Using Nonlinear, Anisotropic Hyperelastic Wall ModelsInternational Workshop on Modelling and Simulation in Biomechanics, Graz, Austria, September 15-17
- NMMGDSW - Domain Decomposition for Fluid-Structure InteractionWorkshop on Numerical Mathematics and Mechanics, Kevelaer, Germany, February 10-12

Workshop

COMINDS

Multilevel domain decomposition-based architectures for physics-informed neural networks

Invited talk. Optimization Workshop (Thematic Einstein Semester on Optimization and Machine Learning), Humboldt Universität zu Berlin, Berlin, June 14-16

COMINDS

Neural networks with physical constraints – Domain decomposition-based network architectures, and model order reduction

Invited plenary talk. GAMM Workshop on Computational and Mathematical Methods in Data Science, Center for Data and Simulation Science, University of Cologne, Cologne, Germany, May 4-5

IGCM 2023

Neural networks with physical constraints, domain decomposition-based training strategies, and model order reduction

Invited plenary lecture. Indo-German conference on Computational Mathematics 2023 (IGCM-2023), Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India, March 27-30

### 2022

### 2021

- CIRM 2021Surrogate Models for Computational Fluid Dynamics Simulations Using Convolutional Autoencoder Neural Networks and Physical ConstraintsInvited Lecture. CIRM Conference “Analysis, Control and Numerics for PDE Models of Interest to Physical and Life Sciences”, Levico Terme, Italy, September 20-24

## Talks

### 2023

- DAMUT ColloquiumDecomposing physics-informed neural networksInvited talk. DAMUT Colloquium, University of Twente, Netherlands, October 4
- TU DelftDecomposing physics-informed neural networksNumiercal Analysis group coffee talk. Delft University of Technology, Netherlands, September 8
- DLRInvited seminar talk, German Aerospace Center (DLR), July 18
- SandiaNeural networks with physical constraints, domain decomposition-based network architectures, and model order reductionSeminar talk, Sandia National Laboratories, USA, April 4

### 2022

- SeminarInvited talk. Scientific Machine Learning seminar series, University of Strathclyde, Glasgow, UK, December 6
- LUH2022Robust, algebraic, and scalable Schwarz preconditioners with extension-based coarse spacesSeminar talk. Leibniz Universität Hannover, Hannover, Germany, December 1
- UDE2022Robust, algebraic, and scalable solvers based on Schwarz domain decomposition methodsKolloquium Ingenieurmathematik, Universität Duisburg-Essen, Essen, Germany, September 15
- ColloquiumAlgebraic Schwarz Domain Decomposition Preconditioners – Parallel Scalability and RobustnessKolloquium des Fachbereichs Mathematik und Informatik, Universität Marburg, Marburg, Germany, July 18
- SeminarSpectral coarse spaces for overlapping Schwarz methods based on energy-minimizing extensionsSeminar, Ruhr-Universität Bochum, January 13

### 2021

- PPS LecturePretty Porous Science Lecture, Universität Stuttgart, December 7
- ColloquiumFast and Robust Overlapping Schwarz Methods – New Developments and an Efficient Parallel Implementation in TrilinosMathematisches Kolloquium, Universität Stuttgart, Online, February 16

### 2020

- SeminarInaugural LectureIANS Highlight Seminar, Universität Stuttgart, Germany, October 26
- SimTechSimTech QuickieUniversität Stuttgart, Germany, October 19
- SeminarOverlapping Schwarz preconditioning techniques for nonlinear problemsSeminar, Humboldt-Universität zu Berlin, Germany, January 29

### 2019

- SeminarFROSch – A framework for parallel Schwarz preconditioners in TrilinosSeminar, Sandia National Laboratories, USA, September 3
- DAMUT ColloquiumDesigning robust and efﬁcient domain decomposition methods for highly heterogeneous problems using local spectral information and machine learning techniquesInvited talk. DAMUT Colloquium, University of Twente, Netherlands, May 8

### 2018

- SeminarFROSch – A Parallel Implementation of the GDSW Domain Decomposition Preconditioner in TrilinosSeminar, EPFL, Lausanne, Switzerland, August 30

### 2017

- SNLFROSch – A Parallel Implementation of the GDSW Domain Decomposition Preconditioner in TrilinosSeminar, Sandia National Laboratories, USA, October 9