@misc{SchlykowKlesseNiuetal., author = {Schlykow, Viktoria and Klesse, Wolfgang Matthias and Niu, Gang and Taoka, Noriyuki and Yamamoto, Yuji and Skibitzki, Oliver and Barget, M. R. and Zaumseil, Peter and K{\"a}nel, Hans von and Schubert, Markus Andreas and Capellini, Giovanni and Schroeder, Thomas}, title = {Selective growth of fully relaxed GeSn nano-islands by nanoheteroepitaxy on patterned Si(001)}, series = {Applied Physics Letters}, volume = {109}, journal = {Applied Physics Letters}, number = {20}, issn = {1077-3118}, doi = {10.1063/1.4967500}, pages = {202102}, language = {en} } @misc{BartolomeoPassacantandoNiuetal., author = {Bartolomeo, Antonio di and Passacantando, Maurizio and Niu, Gang and Schlykow, Viktoria and Lupina, Grzegorz and Giubileo, Filippo and Schr{\"o}der, Thomas}, title = {Observation of field emission from GeSn nanoparticles epitaxially grown on silicon nanotip arrays}, series = {Nanotechnology}, volume = {27}, journal = {Nanotechnology}, number = {48}, issn = {1361-6528}, pages = {485707}, language = {en} } @misc{LukosiusLippertDabrowskietal., author = {Lukosius, Mindaugas and Lippert, Gunther and Dabrowski, Jarek Marek and Kitzmann, Julia and Lisker, Marco and Kulse, Philipp and Kr{\"u}ger, Andreas and Fursenko, Oksana and Costina, Ioan and Trusch, Andreas and Yamamoto, Yuji and Wolff, Andre and Mai, Andreas and Schr{\"o}der, Thomas}, title = {Graphene Synthesis and Processing on Ge Substrates}, series = {ECS transactions}, volume = {75}, journal = {ECS transactions}, number = {8}, issn = {1938-6737}, doi = {10.1149/07508.0533ecst}, pages = {533 -- 540}, language = {en} } @misc{LukosiusDabrowskiLiskeretal., author = {Lukosius, Mindaugas and Dabrowski, Jarek Marek and Lisker, Marco and Kitzmann, Julia and Schulze, Sebastian and Lippert, Gunther and Fursenko, Oksana and Yamamoto, Yuji and Schubert, Markus Andreas and Krause, Hans-Michael and Wolff, Andre and Mai, A. and Schr{\"o}der, Thomas and Lupina, Grzegorz}, title = {Metal-free, CVD Graphene synthesis on 200 mm Ge / Si(001) substrates}, series = {ACS Applied Materials and Interfaces}, volume = {8}, journal = {ACS Applied Materials and Interfaces}, number = {49}, issn = {1944-8244}, doi = {10.1021/acsami.6b11397}, pages = {33786 -- 33793}, language = {en} } @misc{GrzelaCapelliniKoczorowskietal., author = {Grzela, Tomasz and Capellini, Giovanni and Koczorowski, Wojciech and Schubert, Markus Andreas and Czajka, Ryszard and Curson, Neil J. and Heidmann, Inga and Schmidt, Thomas and Falta, Jens and Schr{\"o}der, Thomas}, title = {Growth and evolution of nickel - germanide nanonstructures on Ge(001)}, series = {Nanotechnology}, volume = {26}, journal = {Nanotechnology}, number = {38}, issn = {1361-6528}, pages = {385701}, language = {en} } @misc{WangXiaLiangetal., author = {Wang, Pu and Xia, Ming and Liang, Owen and Sun, Ke and Cipriano, Aaron F. and Schr{\"o}der, Thomas and Liu, Huinan and Xie, Ya-Hong}, title = {Label-free Neurotransmitter SERS Detection by Graphene-Gold Nanopyramid Heterostructure}, series = {Analytical Chemistry}, volume = {87}, journal = {Analytical Chemistry}, number = {20}, issn = {0003-2700}, doi = {10.1021/acs.analchem.5b01560}, pages = {10255 -- 10261}, language = {en} } @misc{BartolomeoGiubileoRomeoetal., author = {Bartolomeo, Antonio di and Giubileo, Filippo and Romeo, Francesco and Sabatino, Paolo and Carapella, Giovanni and Iemmo, Laura and Schr{\"o}der, Thomas and Lupina, Grzegorz}, title = {Graphene field effect transistors with Niobium contacts and asymmetric transfer characteristics}, series = {Nanotechnology}, volume = {26}, journal = {Nanotechnology}, number = {47}, issn = {1361-6528}, pages = {475202}, language = {en} } @misc{MatbaechiEttehadWenger, author = {Matbaechi Ettehad, Honeyeh and Wenger, Christian}, title = {Characterization and Separation of Live and Dead Yeast Cells Using CMOS-Based DEP Microfluidics}, series = {Micromachines}, volume = {12}, journal = {Micromachines}, number = {3}, issn = {2072-666X}, doi = {10.3390/mi12030270}, pages = {19}, abstract = {This study aims at developing a miniaturized CMOS integrated silicon-based microfluidic system, compatible with a standard CMOS process, to enable the characterization, and separation of live and dead yeast cells (as model bio-particle organisms) in a cell mixture using the DEP technique. DEP offers excellent benefits in terms of cost, operational power, and especially easy electrode integration with the CMOS architecture, and requiring label-free sample preparation. This can increase the likeliness of using DEP in practical settings. In this work the DEP force was generated using an interdigitated electrode arrays (IDEs) placed on the bottom of a CMOS-based silicon microfluidic channel. This system was primarily used for the immobilization of yeast cells using DEP. This study validated the system for cell separation applications based on the distinct responses of live and dead cells and their surrounding media. The findings confirmed the device's capability for efficient, rapid and selective cell separation. The viability of this CMOS embedded microfluidic for dielectrophoretic cell manipulation applications and compatibility of the dielectrophoretic structure with CMOS production line and electronics, enabling its future commercially mass production.}, language = {en} } @misc{SoltaniZarrinWenger, author = {Soltani Zarrin, Pouya and Wenger, Christian}, title = {Implementation of Siamese-Based Few-Shot Learning Algorithms for the Distinction of COPD and Asthma Subjects}, series = {Artificial Neural Networks and Machine Learning - ICANN 2020 : 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I}, journal = {Artificial Neural Networks and Machine Learning - ICANN 2020 : 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I}, publisher = {Springer}, address = {Cham}, doi = {10.1007/978-3-030-61609-0_34}, pages = {431 -- 440}, abstract = {This paper investigates the practicality of applying braininspired Few-Shot Learning (FSL) algorithms for addressing shortcomings of Machine Learning (ML) methods in medicine with limited data availability. As a proof of concept, the application of ML for the detection of Chronic Obstructive Pulmonary Disease (COPD) patients was investigated. The complexities associated with the distinction of COPD and asthma patients and the lack of sufficient training data for asthma subjects impair the performance of conventional ML models for the recognition of COPD. Therefore, the objective of this study was to implement FSL methods for the distinction of COPD and asthma subjects with a few available data points. The proposed FSL models in this work were capable of recognizing asthma and COPD patients with 100\% accuracy, demonstrating the feasibility of the approach for applications such as medicine with insufficient data availability.}, language = {en} } @misc{PerezAvilaGonzalezCorderoPerezetal., author = {Perez-Avila, Antonio Javier and Gonzalez-Cordero, Gerardo and Perez, Eduardo and Perez-Bosch Quesada, Emilio and Mahadevaiah, Mamathamba Kalishettyhalli and Wenger, Christian and Roldan, Juan Bautista and Jimenez-Molinos, Francisco}, title = {Behavioral modeling of multilevel HfO2-based memristors for neuromorphic circuit simulation}, series = {XXXV Conference on Design of Circuits and Integrated Systems (DCIS), Segovia, Spain}, journal = {XXXV Conference on Design of Circuits and Integrated Systems (DCIS), Segovia, Spain}, doi = {10.1109/DCIS51330.2020.9268652}, abstract = {An artificial neural network based on resistive switching memristors is implemented and simulated in LTspice. The influence of memristor variability and the reduction of the continuous range of synaptic weights into a discrete set of conductance levels is analyzed. To do so, a behavioral model is proposed for multilevel resistive switching memristors based on Al-doped HfO2 dielectrics, and it is implemented in a spice based circuit simulator. The model provides an accurate description of the conductance in the different conductive states in addition to describe the device-to-device variability}, language = {en} }