30 citations · 62 across the 3 of their papers we have counts for
6 papers
Meta Reinforcement Learning for Optimal Design of Legged Robots
Álvaro Belmonte-Baeza, Joonho Lee, Giorgio Valsecchi +1
The process of robot design is a complex task and the majority of design decisions are still based on human intuition or tedious manual tuning. A more informed way of facing this t…
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…
Peculiarities in quantification of airborne particulate matter by means of Total Reflection X-ray Fluorescence
Yves Kayser, János Osán, Philipp Hönicke +1
Knowledge on the temporal and size distribution of particulate matter (PM) in air as well as on its elemental composition is a key information for source appointment, for the inves…
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…
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…
Validation of secondary fluorescence excitation in quantitative X-ray fluorescence analysis of thin alloy films
André Wählisch, Cornelia Streeck, Philipp Hönicke +1
X-ray fluorescence (XRF) analysis is a widely applied technique for the quantitative analysis of thin films up to the m scale because of its non-destructive nature and because i…