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* **[Simulation Laboratory Quantum Materials](http://www.fz-juelich.de/ias/jsc/EN/AboutUs/Organisation/ComputationalScience/Simlabs/slqm/_node.html)** at JSC<br>
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Contact: [Edoardo Di Napoli](http://www.fz-juelich.de/SharedDocs/Personen/IAS/JSC/EN/staff/di_napoli_e.html?nn=2068862), e.di.napoli@fz-juelich.de<br>
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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>
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Methods: regression using KRR (Gussian, Laplacian, polynomial) and knowledge extraction through feature sparsification using LASSO + l_0.
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Methods: regression using KRR (Gussian, Laplacian, polynomial) and knowledge extraction through feature sparsification using LASSO + $\ell_0$.
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