Matthias Alfeld

Assistant Professor

Delft University of Technology

Netherlands

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About

Matthias Alfeld is an Assistant Professor at Delft University of Technology, Netherlands. His research areas include neural network simulation in art conservation, classification systems for Modernist painters, and multivariate analysis of hyperspectral datasets in the cultural heritage field. Recent articles illustrate his focus on pigment analysis and preservation techniques, particularly in relation to historical paintings and artifacts.

Articles (12)

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2025

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2025

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2024

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2023

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2023

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2023

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2023

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2022

X-ray fluorescence spectroscopy (XRF) plays an important role for elemental analysis in a wide range of scientific fields, especially in cultural heritage.

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2022

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2022

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2021

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2021

Collaborators (3)

Raf Van de Plas

Associate Professor

Delft University of Technology

NETHERLANDS

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Marc Walton

Northwestern University

UNITED STATES

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Matteo Spagnuolo

University of Bari

ITALY

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Matthias Alfeld

Research Interests

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Articles (12)

Neural network simulation of original colors in Friedrich’s Abbey Among Oak Trees featuring discoloured smalt

Towards a classification system for Modernist painters’ reworking practices illustrated by James Ensor’s revised paintings

Multivariate analysis on fused hyperspectral datasets within Cultural Heritage field

Comparison of macro x‐ray fluorescence and reflectance imaging spectroscopy for the semi‐quantitative analysis of pigments in easel paintings: A study on lead white and blue verditer

Hidden mysteries in ancient Egyptian paintings from the Theban Necropolis observed by in-situ XRF mapping

A multimodal study of smalt preservation and degradation on the painting “Woman doing a Libation or Artemisia” from an anonymous painter of the Fontainebleau School

Cable Robots as Conventional Linear Stage Alternatives for the Investigation of Complex-Shaped Objects via Macroscopic X-ray Fluorescence Imaging

SEM-EDX hyperspectral data analysis for the study of soil aggregates

Can deep learning assist automatic identification of layered pigments from XRF data?

Unveiling the paint stratigraphy and technique of Roman African polychrome statues

Data intrinsic correction for working distance variations in MA‐XRF of historical paintings based on the Ar signal

Sunset and moonshine: Variable blue and yellow pigments used by Caspar David Friedrich in different creative periods revealed by in situ XRF imaging

Collaborators (3)

Raf Van de Plas

Marc Walton

Matteo Spagnuolo

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