We will be introducing recent machine learning techniques researched and developed at the Institute of Radiation Physics for advanced comprehension of compact Laser-particle accelerators (electrons and ions). High-fidelity simulations of the involved physical phenomena are carried out by computationally-expensive particle-in-cell simulations which are used for planning of experiments as well...
Currently, patients that undergo radiotherapy receive a standardised treatment regime. Adapting treatment to each patient may improve tumour control and reduce side effects of radiotherapy. We use machine learning techniques to prognosticate tumour control and predict chronic side effects with the aim of translating such models to the clinic.
The successful diagnostics of phenomena in matter under extreme conditions relies on a strong interplay between experiment and simulation. Understanding these phenomena is key to advancing our fundamental knowledge of astrophysical objects and has the potential to unlock future energy technologies that have great societal impact.
A great challenge for an accurate numerical modeling is the...
The research of interactions between the pathogens and their hosts is key for understanding the biology of infection. Commencing on the level of individual molecules, these interactions define the behavior of infectious agents and the outcomes they elicit. Discovery of host–pathogen interactions (HPIs) conventionally involves a stepwise laborious research process. However novel computational...
While Machine Learning (ML) caused a boom in computational sciences and its broad field of applications, some if its weaknesses as its low accuracy, huge training data amount requirement and hard interpretability tighten its domain of applications in complex systems science that demand high scientific, perfomance quality.
Due to our recent findings, we improved classic multivariate...
With this talk, I'd like to present and review our activities as Helmholtz AI consultants at HZDR. Our team has been installed since 2019 and fully operational by now. This talk will both highlight some of our activities, experiences made and future plans. We hope that the HZDR community will profit from this and we establish more collaborations with it.
