Anders S. Christensen

activity

20192025

most citedNeural networks and kernel ridge regression for excited states dynamics of CH

_{2}

_{2}^{+}

: From single-state to multi-state representations and multi-property machine learning models

68 citations · 107 across the 4 of their papers we have counts for

collaborators

Showing 2019Show all

2 papers · 1 filter

physics.chem-ph2019★ 68 cited

Neural networks and kernel ridge regression for excited states dynamics of CH $_{2}$ NH $_{2}^{+}$ : From single-state to multi-state representations and multi-property machine learning models

Julia Westermayr, Felix A. Faber, Anders S. Christensen +2

Excited-state dynamics simulations are a powerful tool to investigate photo-induced reactions of molecules and materials and provide complementary information to experiments. Since…

physics.chem-ph2019

Operator quantum machine learning: Navigating the chemical space of response properties

Anders S. Christensen, O. Anatole von Lilienfeld

The identification and use of structure property relationships lies at the heart of the chemical sciences. Quantum mechanics forms the basis for the unbiased virtual exploration of…

Neural networks and kernel ridge regression for excited states dynamics of CH2​NH2+​: From single-state to multi-state representations and multi-property machine learning models

Operator quantum machine learning: Navigating the chemical space of response properties

Neural networks and kernel ridge regression for excited states dynamics of CH $_{2}$ NH $_{2}^{+}$ : From single-state to multi-state representations and multi-property machine learning models