News Year: 2023

The sacrifice within – how collagen’s weak bonds help protect tissue

3. July 2023

HITS researchers publish new findings on collagen, the most abundant protein in our body: So-called “sacrificial bonds” in collagen break faster …

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Tools for molecular design

29. June 2023

On 21-23 June 2023, two workshops on Brain research took place at the Mathematikon, Heidelberg University: The second HBPMolSIM training workshop on …

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MAOC

New representation for chemical machine learning

22. June 2023

Stiv‘s quantum-inspired representation for chemical machine learning entitled matrix of orthogonalised atomic orbital coefficients (MAOC) is published in the Special …

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ChatGPT and its ilk

20. June 2023

The rise of large language models and why we should care: talk by Anil Ananthaswamy, science journalist (USA/India), HITS Journalist …

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Issue 2 | 2023

20. June 2023

We are happy to continue the success story of grants awarded by the European Research Council (ERC): PSO group leader Friedrich …

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Richard Schwartz

13. June 2023

Divide and Conquer:  5 Point Energy Minimization Thomson’s classic problem asks, for any N, which configurations of N points on …

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Steve Trettel

13. June 2023

Geometry from the Inside Geometry is one of the oldest ongoing projects of humanity, with an unbroken chain of deep thought …

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Anil Ananthaswamy named “HITS Journalist in Residence”

16. May 2023

The Heidelberg Institute for Theoretical Studies gives science journalists the opportunity to deepen their knowledge of computer-based, data-driven science with a …

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Registration open: 2nd HBPMolSim Training Workshop on Tools for Molecular Simulation of Neuronal Signaling Cascades and HBP BRAVE partner project open meeting

12. May 2023

The second HBPMolSIM training workshop on Tools for Molecular Simulation of Neuronal Signaling Cascades will take place in hybrid format on 21…

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SIMPLAIX Workshop: Thanks to all participants!

9. May 2023

A big thank you to all the speakers and participants for making last week’s SIMPLAIX Workshop on “Machine Learning for …

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