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F. Chiappini

Researcher at Radboud University Nijmegen

Publications -  7
Citations -  331

F. Chiappini is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Engineering & Laser power scaling. The author has an hindex of 4, co-authored 4 publications receiving 307 citations.

Papers
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Journal ArticleDOI

Interaction phenomena in graphene seen through quantum capacitance

TL;DR: Large-area high-quality graphene capacitors are used to study behavior of the density of states in this material in zero and high magnetic fields, revealing a number of interesting many-body effects.
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Probing the surface states in bi2se3 using the shubnikov-de haas effect

TL;DR: Shubnikov-de Haas oscillations are observed in Bi{}_{2}$Se${}_{3}$ flakes with high carrier concentration and low bulk mobility as discussed by the authors.
Journal ArticleDOI

Lifting of the Landau level degeneracy in graphene devices in a tilted magnetic field

TL;DR: In this paper, the authors report on transport and capacitance measurements of graphene devices in magnetic fields up to 30 T and observe the full splitting of Landau levels and employ tilted field experiments to address the origin of the observed broken symmetry states.
Journal ArticleDOI

Magnetotransport in single-layer graphene in a large parallel magnetic field

TL;DR: In this article, the effect of Zeeman splitting on electron transport on hexagonal boron nitride (h-BN) was investigated using magnetotransport measurements and it was shown that a parallel magnetic field up to 30 Tesla does not affect the transport properties of graphene on h-BN.
Proceedings ArticleDOI

Monitoring the Laser Metal Deposition (LMD) process by means of thermal methods

TL;DR: In this paper , the capability of thermography to detect anomalies with the analysis of statistical indexes and thermal features has been evaluated and the possibility to correlate thermal features and process parameters has been demonstrated by means of an ANOVA analysis(Analysis of Variance)and regression models, considering experimental plans that involved the use of different parameters in terms of power, scanning speed, and powder flow rate.