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Update ML&DL@FZJ – Added ModSim Group (IBG1) authored by Christian C. Sachs's avatar Christian C. Sachs
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ML&DL@FZJ.md
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...@@ -69,7 +69,10 @@ Contact: [Edoardo Di Napoli](http://www.fz-juelich.de/SharedDocs/Personen/IAS/JS ...@@ -69,7 +69,10 @@ Contact: [Edoardo Di Napoli](http://www.fz-juelich.de/SharedDocs/Personen/IAS/JS
Applying and developing Machine Learning methods for the prediction of thermodynamic properties (Enthalpies of formation, amorphization temperatures, etc.) of compound materials such as solid solutions of Lanthanides orthophosphates.<br> Applying and developing Machine Learning methods for the prediction of thermodynamic properties (Enthalpies of formation, amorphization temperatures, etc.) of compound materials such as solid solutions of Lanthanides orthophosphates.<br>
Methods: regression using KRR (Gussian, Laplacian, polynomial) and knowledge extraction through feature sparsification using LASSO + $`\ell_0`$. Methods: regression using KRR (Gussian, Laplacian, polynomial) and knowledge extraction through feature sparsification using LASSO + $`\ell_0`$.
* **[Modeling & Simulation Group](https://fz-juelich.de/ibg/ibg-1/modsim)** (at IBG-1)<br>
Contact: [Christian Sachs](https://fz-juelich.de/SharedDocs/Personen/IBG/IBG-1/EN/Research_groups/microscale/sachs.html?nn=982498), [c.sachs@fz-juelich.de](mailto:c.sachs@fz-juelich.de); [Katharina Nöh](https://fz-juelich.de/SharedDocs/Personen/IBG/IBG-1/EN/Research_groups/modsim/noeh.html?nn=982498), [k.noeh@fz-juelich.de](mailto:k.noeh@fz-juelich.de)<br>
Data: Image data (microscope time-lapse stacks of microfluidic experiments; bacteria, algae, yeast)<br>
Methods: convolutional neural network based pixel-precise multi-instance segmentation (via U-Nets)<br>
# Work in progress # Work in progress
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