All

Browse all posts in the All category.

49 to 54 of 56

04MAY 2023
All
Control and optimization in the age of data
Last Tuesday May 2, 2023, we had delighted to share a round table at FAU MoD with 25 colleagues from all over Germany to discuss and explore new joint initiatives on the vibrant topic “Control and Optimization in the age of Data” at the Senatssaal im Kollegienhaus, Erlangen. Our President Professor Hornegger was kind enough […]
Read more about Control and optimization in the age of data
26APR 2023
All
Hydrogen: Need for action and opportunities
Last Wed. April 26, 2023, Prof. Dr. Joachim Hornegger, President of FAU and Prof. Dr. Veronica Grimm, member at FAU MoD opened the #FAUinsights lectures organised by FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg and EnCN, Energie Campus Nürnberg. They discussed the opportunities and challenges in renewable hydrogen production for the energy transition in Germany, the need for large-scale imports and the […]Last Wed. April 26, 2023, Prof. Dr. Joachim Hornegger, President of FAU and Prof. Dr. Veronica Grimm, member at FAU MoD opened the #FAUinsights lectures organised by FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg and EnCN, Energie Campus Nürnberg. They discussed the opportunities and challenges in renewable hydrogen production for the energy transition in Germany, the need for large-scale imports and the […]
Read more about Hydrogen: Need for action and opportunities
21APR 2023
All
WiDS FAU: Data-Driven Optimization under Uncertainty with Engineering Applications
Last Friday April 21, 2023 our FAU MoD member, Prof. Dr. Frauke Liers will talk as keynote speaker on Data-Driven Optimization under Uncertainty with Engineering Applications at the WiDS hosted virtually at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg the Women in Data Science international conference organised annually by the Stanford University all around the world. Abstract. For many […]Last Friday April 21, 2023 our FAU MoD member, Prof. Dr. Frauke Liers will talk as keynote speaker on Data-Driven Optimization under Uncertainty with Engineering Applications at the WiDS hosted virtually at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg the Women in Data Science international conference organised annually by the Stanford University all around the world. Abstract. For many […]
Read more about WiDS FAU: Data-Driven Optimization under Uncertainty with Engineering Applications
28FEB 2023
All
Measuring Keyness by S. Evert
Last February 28th, 2023 our FAU MoD member, Prof. Dr. Stephanie Evert gave a keynote lecture on “Measuring Keyness” at the “Workshop: Using and Developing Software for Keyness Analysis” organised within the scope of the project “Zeta and Company” at Trier University (Germany). Abstract. In corpus linguistics, the notion of keywords refers to words […]
Read more about Measuring Keyness by S. Evert
17FEB 2023
All
Computational Science at Extreme Scale by U. Rüde
On February 17th, 2023 our FAU MoD member, Prof. Dr. Ulrich Rüde gave a talk on “Computational Science at Extreme Scale” at the “FMF Symposium 2023” organised at the University of Groningen. Abstract. The fastest supercomputers in the world have recently reached ExaFLOPS performance. This means that they can execute 10^18 floating point operations per […]
Read more about Computational Science at Extreme Scale by U. Rüde
13SEP 2022
All
Approximating the 1D wave equation using Physics Informed Neural Networks, PINNs (Sep. 2022)
Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs) Internship under the “Women in Mathematics of Data” program Date: September 2022 Supervisors: Prof. Enrique Zuazua Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Code: • See the complete report by Dania Sana Introduction Accurate and fast predictions of numerical solutions are of significant interest […]Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs) Internship under the “Women in Mathematics of Data” program Date: September 2022 Supervisors: Prof. Enrique Zuazua Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Code: • See the complete report by Dania Sana Introduction Accurate and fast predictions of numerical solutions are of significant interest […]
Read more about Approximating the 1D wave equation using Physics Informed Neural Networks, PINNs (Sep. 2022)