Werner Steffen
5 Papers
Werner Steffen is an academic researcher. The author has contributed to research in topics: Hysteresis & Drop (telecommunication). The author has an hindex of 1, co-authored 1 publications.
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Papers
Contact angle hysteresis
Hans-Jürgen Butt,Jie Li,Kaloian Koynov,Benedikt B. Straub,Chirag Hinduja,Ilia Roismann,Rüdiger Berger,Xiaomei Li,Doris Vollmer,Werner Steffen,Michael Kappl +10 more
TL;DR: In this article , the authors review the current understanding of contact angle hysteresis with a focus on water as the liquid and describe appropriate methods to measure the contact angle, discuss the causes of contact angles, and describe the preparation of surfaces with low contact angles.
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Chemically robust superhydrophobic surfaces with a self‐replenishing nanoscale liquid coating
Xiaoteng Zhou,P.V. Sudersan,Diego Díaz,Benjamin Leibauer,Chirag Hinduja,Fahimeh Darvish,Pravash Bista,Lukas Hauer,Manfred Wagner,Werner Steffen,Jie Li,Michael Kappl,Hans-Jürgen Butt +12 more
TL;DR: Chemically robust superhydrophobic surfaces with a self-replenishing nanoscale liquid coating exhibit high chemical stability and self-healing ability against alkali erosion and O2 plasma exposure.
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How Surface and Substrate Chemistry Affect Slide Electrification.
Benjamin Leibauer,Ognen Pop-Georgievski,Mariana D Sosa,Yun Dong,Wolfgang Tremel,Hans-Jürgen Butt,Werner Steffen +6 more
TL;DR: The surface and substrate chemistry significantly affect slide electrification. The charge of a droplet increases with the increasing number of droplets and reaches a constant value in the saturated state. The charge of the first droplet depends on both coating and substrate chemistry. The chemistry of the substrate dominates the charge in the saturated state.
2
Intrinsic Dynamics of Amorphous Ice Revealed by a Heterodyne Signal in X-ray Photon Correlation Spectroscopy Experiments
Hailong Li,Marjorie Ladd-Parada,Aigerim Karina,F. Dallari,Mario Reiser,Fivos Perakis,N. Striker,Michael Sprung,Fabian Westermeier,Gerhard Grübel,Werner Steffen,Felix Lehmkühler,Katrin Amann-Winkel +12 more
TL;DR: XPCS experiments reveal non-isotropic heterogeneous dynamics in amorphous ice during the HDA-LDA transition, characterized by a heterodyne signal in the correlation function.
Estimating sliding drop width via side-view features using recurrent neural networks.
Sajjad Shumaly,Fahimeh Darvish,Oleksandra Kukharenko,Werner Steffen,Hans-Jürgen Butt,Rüdiger Berger +5 more
TL;DR: Researchers use recurrent neural networks to estimate sliding drop width from side-view videos, eliminating the need for additional equipment and achieving a 2.4% error rate with a Long Short Term Memory (LSTM) model.