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Slovenia, Sweden

Activities

Employment (1)

Lund University: Lund, SE

2023-09-25 to present | PhD student (Department of Chemistry, Division of Computational Chemistry)
Employment
Source: Self-asserted source
David Ribar

Education and qualifications (3)

Lund University: Lund, SE

2023-09-25 to present | PhD in Theoretical Chemistry (Department of Chemistry, Division of Computational Chemistry)
Education
Source: Self-asserted source
David Ribar

University of Ljubljana, Faculty of Chemistry and Chemical Technology: Ljubljana, SI

2021-10-01 to present | Master's degree in Chemistry (Chair of Analytical Chemistry and Chair of Physical Chemistry)
Education
Source: Self-asserted source
David Ribar

University of Ljubljana: Ljubljana, SI

2018-10-01 to 2021-07-01 | Bachelor's degree in Chemistry (Chair of Analytical Chemistry)
Education
Source: Self-asserted source
David Ribar

Works (8)

An efficient method to establish electrostatic screening lengths of restricted primitive model electrolytes

Physical Chemistry Chemical Physics
2024 | Journal article
Contributors: Jan Forsman; David Ribar; Clifford E. Woodward
Source: check_circle
Crossref

Cluster Formation Induced by Local Dielectric Saturation in Restricted Primitive Model Electrolytes

The Journal of Physical Chemistry Letters
2024-08-15 | Journal article
Contributors: David Ribar; Clifford E. Woodward; Sture Nordholm; Jan Forsman
Source: check_circle
Crossref

Towards an accurate method for column void volume determination using liquid chromatography-mass spectrometry

Journal of Chromatography A
2023-09 | Journal article
Contributors: David Ribar; Miha Lukšič; Irena Kralj Cigić
Source: check_circle
Crossref

An exploration into the use of Hansen solubility parameters for modelling reversed-phase chromatographic separations

Journal of Analytical Science and Technology
2022 | Journal article
EID:

2-s2.0-85128019559

Part of ISSN: 20933371 20933134
Contributors: Ribar, D.; Rijavec, T.; Kralj Cigić, I.
Source: Self-asserted source
David Ribar via Scopus - Elsevier
grade
Preferred source (of 2)‎

Machine learning-assisted non-destructive plasticizer identification and quantification in historical PVC objects based on IR spectroscopy

Scientific reports
2022 | Journal article
EID:

2-s2.0-85126894042

Part of ISSN: 20452322
Contributors: Rijavec, T.; Ribar, D.; Markelj, J.; Strlič, M.; Kralj Cigić, I.
Source: Self-asserted source
David Ribar via Scopus - Elsevier

Modelling reversed-phase chromatographic separations with Hansen solubility parameters

Tehnologijada 2022
2022-06 | Conference abstract
Source: Self-asserted source
David Ribar

Development of reversed-phase chromatographic separation model based upon Hansen solubility parameters

51st Krka prizes : 31st Symposium : book of abstracts
2021-10-15 | Conference abstract
Source: Self-asserted source
David Ribar

Benchmarking machine-learning algorithms for near-infrared spectral classification of polymer types in heritage science

Cutting Edge 2021 : scientific conference for young researchers : Independent in science
2021-09-16 | Conference abstract
Part of ISBN: 978-961-7078-21-3
Source: Self-asserted source
David Ribar