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ICP Kolloquium: PD Dr. Jens Smiatek, 19. Juni 2023, 16:30 Uhr, "Molecular Theories meet Scientific Machine Learning - Novel Concepts for Pharmaceutical Applications"

ICP Kolloquium: PD Dr. Jens Smiatek, 19. Juni 2023, 16:30 Uhr, "Molecular Theories meet Scientific Machine Learning - Novel Concepts for Pharmaceutical Applications"

June 19, 2023

Time:	June 19, 2023
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PD Dr. Jens Smiatek
Boehringer Ingelheim Pharma GmbH & Co. KG
Montag, 19. Juni 2023, 16:30 Uhr

ICP Seminarraum 1.079, Allmandring 3
via zoom

“Molecular Theories meet Scientific Machine Learning - Novel Concepts for Pharmaceutical Applications”

Abstract

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June 2023

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ICP Kolloquium: Prof. Dr. Benjamin Rotenberg, 12. Juni 2023, 14:00 Uhr, "Making Sense of Electrical Noise by Simulating Electrolyte Solutions"

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ICP Kolloquium: Prof. Yuri Feldman, 7. Juli 2022, 16:00 Uhr, "The puzzling first-order phase transition in water–glycerol mixtures"

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June 2022

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May 2022

ICP Kolloquium: Dr. Miriam Klopotek, 19. Mai 2022, 14:00 Uhr, "From many-body model systems towards physics-inspired machine learning"

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ICP Kolloquium: PD Dr. Jens Smiatek, 19. Juni 2023, 16:30 Uhr, "Molecular Theories meet Scientific Machine Learning - Novel Concepts for Pharmaceutical Applications"

List of all events

October 2024

ICP Summer School: Simulating soft matter across scales

September 2024

ICP Kolloquium: Prof. Dr. Markus Miettinen

Event

May 2024

ICP-Kolloquium, Prof. Dr. Alan Denton

ICP-Kolloquium, Prof. Dr. Peter Košovan

April 2024

ICP Kolloquium: Prof. Dr. Tristan Bereau

ICP Kolloquium: Dr. Pablo M. Blanco

January 2024

ICP-Kolloquium: Prof. Dr. Stephan Nussberger, 22. Januar 2024 14:00 Uhr, "The art of sucking spaghetti: Threading proteins through TOM"

December 2023

ICP Kolloquium: Prof. Dr. Regine von Klitzing, 04. Dezember 2023, 14:00 Uhr, "Nanomechanics and nanorheology of microgels at interfaces"

October 2023

ICP Kolloquium: Dr. Jack Araz, 23. Oktober 2023, 14:00 Uhr, "Theory-driven Quantum Machine Learning for HEP"

ICP Summer School: Simulating energy materials with ESPResSo and waLBerla

July 2023

ICP Kolloquium: Prof. Dr. Mathias Niepert, 24. Juli 2023, 14:00 Uhr, "Combining 2D and 3D message passing neural networks for molecular property prediction"

ICP Kolloquium: Dr. Marco Roth, 03. Juli 2023, 14:00 Uhr, "Quantum Machine Learning – What (not) to expect"

June 2023

ICP Kolloquium: PD Dr. Jens Smiatek, 19. Juni 2023, 16:30 Uhr, "Molecular Theories meet Scientific Machine Learning - Novel Concepts for Pharmaceutical Applications"

ICP Kolloquium: Prof. Dr. Benjamin Rotenberg, 12. Juni 2023, 14:00 Uhr, "Making Sense of Electrical Noise by Simulating Electrolyte Solutions"

January 2023

ICP Kolloquium: Benedikt Sabass (Ludwig-Maximilians-Universität München) , 30. Januar 2023, 14:00 Uhr, "Sparse, active learning of stochastic differential equations from data"

December 2022

ICP Kolloquium: Prof. Dr. Andreas Köhn, 19. Dezember 2022, 14:00 Uhr, "Coupled-cluster theory (for molecules and prospects for its application in the condensed phase)"

October 2022

ICP Summer School: Simulating the dynamics of soft matter with ESPResSo, PyStencils and LbmPy

July 2022

ICP Kolloquium: Prof. Yuri Feldman, 7. Juli 2022, 16:00 Uhr, "The puzzling first-order phase transition in water–glycerol mixtures"

June 2022

ICP Kolloquium: Dr. Philip Loche, 30. Juni 2022, 10:00 Uhr, "Atomistic Machine Learning for Aqueous Solutions"

May 2022

ICP Kolloquium: Dr. Miriam Klopotek, 19. Mai 2022, 14:00 Uhr, "From many-body model systems towards physics-inspired machine learning"

December 2021

ICP Kolloquium: Prof. Dr. Patrick Huber, 3. Dezember 2021, 14:00 Uhr, "Water confined in nanopores: What do we know about it and what is it good for?"

November 2021

ICP Kolloquium: Dipl.-Ing. Sibylle Hermann, Dr. Jan Range, 12. November 2021, „Practical Implementation of Research Data management in SimTech”

October 2021

ICP Kolloquium: Prof. Michele Ceriotti, 28. Oktober 2021, „Machine learning at the atomic scale”

ICP Kolloquium: Dr. Sven Krippendorf, 05. Oktober 2021, „Theoretical Physicists' Biases Meet Machine Learning”

July 2021

Terminänderung: ICP Kolloquium: Prof. Dr. Clemens Bechinger, 12. Juli 2021, „Formation of collective states using programmable active matter”

ICP Kolloquium: Prof. Robert Hoy, 08. Juli 2021, „Relating the entanglement of semiflexible polymer melts to their local inter- and intra-chain structure”

June 2021

ICP Kolloquium: Ass. Prof. Dr. Douwe Jan Bonthuis, 10. Juni 2021, „The dielectric response of water and electrolytes at high and low frequencies”

May 2021

ICP Kolloquium: Prof. Dr. Joachim Dzubiella, 20. Mai 2021, „On the permeability of dense polymer membranes for the selective transport of molecular solutes”

February 2021

ICP Kolloquium: Prof. Dr. Jens Harting, 25. Februar 2021, „Suspensions of soft capsules: rheology and multiphase flows”

ICP Kolloquium: Prof. Dr. Ulrich F. Keyser, 04. Februar 2021, „Polymer and ion dynamics in nanopores revealed by designed DNA nanostructures“

January 2021

ICP Kolloquium: Sabine Ludwigs, 21. Januar 2021, „Bioinspired Multiresponsive Polymer Films“

ICP Kolloquium: Gábor Csányi, 14. Januar 2021, „Machine learned force fields: status and challenges“

October 2020

ICP Kolloquium: Yuichi Itto, 15. Oktober 2020, „Introduction to Flow Equations for Hamiltonians “

September 2020

ICP Kolloquium: Philip Loche, 1. September 2020, "Electrostatics at aqueous interfaces and in nanoconfinement"

February 2020

Roland Kjellander, Professor Emeritus (Dept. of Chemistry and Molecular Biology, University of Gothenburg), Interactions and dielectric response in electrolyte solutions and ionic liquids: A multiple decay-length affair with simple unifying features.

ICP Kolloquium: Dipl.-Ing. Sibylle Hermann, Dr. Jan Range, 12. November 2021, „Practical Implementation of Research Data management in SimTech”

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