ArticleProceedings of the National Academy of Sciences of the United States of America2012
Application of compressed sensing to the simulation of atomic systems.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Digital quantum simulation of NMR experiments.Science advances · 2023Article
- Revealing true coupling strengths in two-dimensional spectroscopy with sparsity-based signal recovery.Light, science & applications · 2017Article
- Machine learning molecular dynamics for the simulation of infrared spectra.Chemical science · 2017Article
- Continuous Compressed Sensing for Surface Dynamical Processes with Helium Atom Scattering.Scientific reports · 2016Article
- Mapping multidimensional electronic structure and ultrafast dynamics with single-element detection and compressive sensing.Nature communications · 2016Article
- Compressed Sensing for the Fast Computation of Matrices: Application to Molecular Vibrations.ACS central science · 2015Article
- Compressive Sensing in Quantum Chemistry: A Little Computation Goes a Long Way.ACS central science · 2015Article
- Efficient route to high-bandwidth nanoscale magnetometry using single spins in diamond.Scientific reports · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Compressed sensing is a method that allows a significant reduction in the number of samples required for accurate measurements in many applications in experimental sciences and engineering. In this work, we show that compressed sensing can also be used to speed up numerical simulations. We apply compressed sensing to extract information from the real-time simulation of atomic and molecular systems, including electronic and nuclear dynamics. We find that, compared to the standard discrete Fourier transform approach, for the calculation of vibrational and optical spectra the total propagation time, and hence the computational cost, can be reduced by approximately a factor of five.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.