3 citations · 4 across the 2 of their papers we have counts for
2 papers
physics.chem-ph2024★ 3 cited
Assessing Non-Nested Configurations of Multifidelity Machine Learning for Quantum-Chemical Properties
Vivin Vinod, Peter Zaspel
Multifidelity machine learning (MFML) for quantum chemical (QC) properties has seen strong development in the recent years. The method has been shown to reduce the cost of generati…
eess.SY2024★ 1 cited
Data-driven identification of port-Hamiltonian DAE systems by Gaussian processes
Peter Zaspel, Michael Günther
Port-Hamiltonian systems (pHS) allow for a structure-preserving modeling of dynamical systems. Coupling pHS via linear relations between input and output defines an overall pHS, wh…