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Inverting the Kohn-Sham equations with physics-informed machine learning

Martinetto, Vincent; Shah, Karan; Cangi, Attila; Pribram-Jones, Aurora


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    <subfield code="a">&lt;p&gt;This data repository contains the datasets used in the paper &amp;quot;Inverting the Kohn-Sham equations with physics-informed machine learning&amp;quot;.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;It contains the data generation scripts, datasets for the systems used in the paper (Single Well - 1D atom, Double Well - 1D diatomic molecule) and output potentials&amp;nbsp;generated by the physics-informed machine learning models (physics-informed neural networks and Fourier neural operators).&lt;/p&gt;</subfield>
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Martinetto, Vincent, Shah, Karan, Cangi, Attila, & Pribram-Jones, Aurora. (2024). Inverting the Kohn-Sham equations with physics-informed machine learning [Data set]. Rodare. http://doi.org/10.14278/rodare.2720

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