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researcher

M. Riva

19 papers hereh-index 17844 citations68 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author13
  • last author6

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci17
  • cond-mat.mes-hall1
  • eess.IV1
same name
  • M. Riva — 44 papers, h 28
  • M. Riva — 22 papers, h 9
  • M. Riva — 12 papers, h 10
  • M. Riva — 10 papers, h 8
  • M. Riva — 8 papers, h 7
  • M. Riva — 6 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedIrO2 Surface Complexions Identified Through Machine Learning and Surface Investigations

68 citations · 294 across the 18 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cond-mat.mtrl-sci2024★ 8 cited

ViPErLEED package I: Calculation of I(V) curves and structural optimization

Florian Kraushofer, Alexander M. Imre, Giada Franceschi +6

Low-energy electron diffraction (LEED) is a widely used technique in surface-science. Yet, it is rarely used to its full potential. The quantitative information about the surface s…

cond-mat.mtrl-sci2024★ 9 cited

Digging its own Site: Linear Coordination Stabilizes a Pt1/Fe2O3 Single-Atom Catalyst

Ali Rafsanjani-Abbasi, Florian Buchner, Faith J. Lewis +15

Determining the local coordination of the active site is a pre-requisite for the reliable modeling of single-atom catalysts (SACs). Obtaining such information is difficult on powde…

cond-mat.mtrl-sci2024★ 9 cited

ViPErLEED package II: Spot tracking, extraction and processing of I(V) curves

Michael Schmid, Florian Kraushofer, Alexander M. Imre +4

As part of the ViPErLEED project (Vienna package for Erlangen LEED, low-energy electron diffraction), computer programs have been developed for facile and user-friendly data extrac…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.