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Citrine Informatics (United States)

United States

13 papers here978 citations across 13
fields
  • cond-mat.mtrl-sci7
  • physics.comp-ph2
  • cond-mat.soft1
  • cs.AI1
  • physics.flu-dyn1
  • stat.ML1
ROR 04wka5f51OpenAlex

affiliations via OpenAlex

output
20152025
most citedA recommendation engine for suggesting unexpected thermoelectric chemistries

226 citations

researchers with a paper here
  • B. Meredig6 · h 32
  • Julia Ling3 profiles6 · h 19
  • Erin Antono4 · h 13
  • Christopher K. H. Borg3 · h 11
  • J. Saal3 · h 36
  • Maxwell Hutchinson3 · h 9
  • Logan T. Ward2 · h 29
  • Matthias Rupp2 · h 31
  • Yoolhee Kim2 · h 4
  • Alex Goessmann1 · h 5
  • A. Lorenson1 · h 3
  • A. Mar1 · h 33
collaborating institutions
  • Argonne National LaboratoryUS2 papers
  • Fritz Haber Institute of the Max Planck SocietyDE2 papers
  • SLAC National Accelerator LaboratoryUS2 papers
  • University of CambridgeGB2 papers
  • Brigham Young UniversityUS1 paper
  • Carnegie Mellon UniversityUS1 paper
  • City College of New YorkUS1 paper
  • Cornell High Energy Synchrotron Source1 paper
  • Cornell UniversityUS1 paper
  • Franklin W. Olin College of EngineeringUS1 paper
  • Johns Hopkins UniversityUS1 paper
  • Material Measurement LaboratoryUS1 paper
Showing 2018 · physics.comp-phShow all

1 paper · 2 filters

physics.comp-ph2018★ 29 cited

Anomaly detection in scientific data using joint statistical moments

Konduri Aditya, Hemanth Kolla, W. Philip Kegelmeyer +3

We propose an anomaly detection method for multi-variate scientific data based on analysis of high-order joint moments. Using kurtosis as a reliable measure of outliers, we suggest…

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