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David Mannes

Researcher at Paul Scherrer Institute

Publications -  101
Citations -  1679

David Mannes is an academic researcher from Paul Scherrer Institute. The author has contributed to research in topics: Neutron imaging & Moisture. The author has an hindex of 21, co-authored 95 publications receiving 1336 citations. Previous affiliations of David Mannes include ETH Zurich.

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3D imaging of microstructure of spruce wood.

TL;DR: Synchrotron radiation phase-contrast X-ray tomographic microscopy was applied to observation and identification of the features of spruce anatomy at the cellular lengthscale and it is suggested that the position of sub-voxel-sized features can be determined indirectly using watershed segmentation.
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Gas Evolution in Operating Lithium-Ion Batteries Studied In Situ by Neutron Imaging.

TL;DR: The results suggest that metal dissolution in the electrolyte and decomposition products resulting from the high potentials adversely affect the gas generation, particularly in the first charge cycle (i.e., during graphite solid-electrolyte interface layer formation).
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Visualization and quantification of liquid water transport in softwood by means of neutron radiography

TL;DR: In this paper, the authors investigated liquid water uptake in an orthotropic, cellular, hierarchical and natural material namely wood using neutron radiography and found that latewood cells play a more significant role in water uptake than earlywood cells and that ray tracheids also contribute to liquid transport.
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Olive tree-ring problematic dating: a comparative analysis on Santorini (Greece)

TL;DR: Dendrochronological analyses of olive trees growing on the Aegean island Santorini (Greece) show that the determination of the number of tree-rings is impossible because of intra-annual wood density fluctuations, variability in tree-ring boundary structure, and restriction of its cambial activity to shifting sectors of the circumference, causing the tree- ring sequences along radii of the same cross section to differ.
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Chasing quantitative biases in neutron imaging with scintillator-camera detectors: a practical method with black body grids

TL;DR: The results show that a reduction of the quantification bias can be obtained, up to one order of magnitude, for moderately transparent samples, and little sensitivity is observed to the parameters used for the correction.