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Stephan Mohr

Researcher at Barcelona Supercomputing Center

Publications -  34
Citations -  1311

Stephan Mohr is an academic researcher from Barcelona Supercomputing Center. The author has contributed to research in topics: Maxima and minima & Wavelet. The author has an hindex of 14, co-authored 34 publications receiving 832 citations. Previous affiliations of Stephan Mohr include University of Basel & University of Grenoble.

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Metrics for measuring distances in configuration spaces.

TL;DR: These metrics are a perfect and computationally cheap replacement for the root-mean-square distance (RMSD) when one has to decide whether two noise contaminated configurations are identical or not.
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Daubechies wavelets for linear scaling density functional theory

TL;DR: It is demonstrated that Daubechies wavelets can be used to construct a minimal set of optimized localized adaptively contracted basis functions in which the Kohn-Sham orbitals can be represented with an arbitrarily high, controllable precision.
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Accurate and efficient linear scaling DFT calculations with universal applicability

TL;DR: This work uses an ansatz based on localized support functions expressed in an underlying Daubechies wavelet basis to obtain an amazingly high accuracy and a universal applicability while still keeping the possibility of simulating large system with linear scaling walltimes requiring only a moderate demand of computing resources.