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20182022
most citedMeta Reinforcement Learning for Optimal Design of Legged Robots

30 citations · 99 across the 6 of their papers we have counts for

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physics.app-ph2022

In situ gas cell for the analysis of adsorption behavior on surfaces using x-ray spectroscopy

Cornelia Streeck, Daniel Grötzsch, Jan Weser +5

A gas cell for in-situ measurements of Volatile Organic Compounds (VOCs) and their adsorption behavior on different surfaces by means of X-Ray Fluorescence (XRF) and X-ray Absorpti…

physics.app-ph2021

Grazing incidence X-ray fluorescence based characterization of nanostructures for element sensitive profile reconstruction

Anna Andrle, Philipp Hönicke, Philipp Schneider +6

For the reliable fabrication of the current and next generation of nanostructures it is essential to be able to determine their material composition and dimensional parameters. Usi…

physics.app-ph202020 cited

Grazing incidence-X-ray fluorescence for a dimensional and elemental characterization of well-ordered nanostructures

Philipp Hönicke, Anna Andrle, Yves Kayser +6

The increasing importance of well-controlled ordered nanostructures on surfaces represents a challenge for existing metrology techniques. To develop such nanostructures and monitor…

physics.app-ph202012 cited

Interaction of nanoparticle properties and X-ray analytical techniques

Rainer Unterumsberger, Philipp Hönicke, Yves Kayse +5

In this work, Pt-Ti core-shell nanoparticles (NP) of 2 nm to 3 nm in size and 30000 u \pm 1500 u as specified single particle mass, deposited on flat silicon substrates by means of…

physics.app-ph2019

Reference-free GIXRF-XRR as a methodology for independent validation of XRR on ultrathin layer stacks and a depth-dependent characterization

Philipp Hönicke, Blanka Detlefs, Yves Kayser +3

Nanolayer stacks are technologically very relevant for current and future applications in many fields of research. A non-destructive characterization of such systems is often perfo…