TY  - CHAP
A1  - Funke, Harald
A1  - Beckmann, Nils
A1  - Keinz, Jan
A1  - Horikawa, Atsushi
T1  - 30 years of dry low NOx micromix combustor research for hydrogen-rich fuels: an overview of past and present activities
T2  - Proceedings of the ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition, September 21–25, 2020, Virtual, Online. Vol.: 4B: Combustion, Fuels, and Emissions
KW  - Micromix
KW  - Hydrogen
KW  - Fuel-flexibility
KW  - NOx
KW  - Emissions
Y1  - 2021
SN  - 978-0-7918-8413-3
U6  - http://dx.doi.org/10.1115/GT2020-16328
N1  - Paper No. GT2020-16328, V04BT04A069
PB  - American Society of Mechanical Engineers (ASME)
ER  - 
TY  - CHAP
A1  - Schulte, Maximilian
A1  - Eggert, Mathias
T1  - Predicting hourly bitcoin prices based on long short-term memory neural networks
T2  - Proceedings of the International Conference on Wirtschaftsinformatik (WI) 2021
N2  - Bitcoin is a cryptocurrency and is considered a high-risk asset
class whose price changes are difficult to predict. Current research focusses
on daily price movements with a limited number of predictors. The paper at
hand aims at identifying measurable indicators for Bitcoin price movement s
and the development of a suitable forecasting model for hourly changes. The
paper provides three research contributions. First, a set of significant
indicators for predicting the Bitcoin price is identified. Second, the results of
a trained Long Short-term Memory (LSTM) neural network that predicts
price changes on an hourly basis is presented and compared with other
algorithms. Third, the results foster discussions of the applicability of neural
nets for stock price predictions. In total, 47 input features for a period of
over 10 months could be retrieved to train a neural net that predicts the
Bitcoin price movements with an error rate of 3.52 %.
Y1  - 2021
N1  - 16th International Conference on Wirtschaftsinformatik,
March 2021, Essen, Germany
ER  - 
TY  - JOUR
A1  - Erpicum, Sebastien
A1  - Crookston, Brian M.
A1  - Bombardelli, Fabian
A1  - Bung, Daniel B.
A1  - Felder, Stefan
A1  - Mulligan, Sean
A1  - Oertel, Mario
A1  - Palermo, Michele
T1  - Hydraulic structures engineering: An evolving science in a changing world
JF  - Wires Water
Y1  - 2021
U6  - http://dx.doi.org/10.1002/wat2.1505
SN  - 2049-1948
VL  - 8
IS  - 2
PB  - Wiley
CY  - Weinheim
ER  - 
TY  - JOUR
A1  - Jablonski, Melanie
A1  - Poghossian, Arshak
A1  - Severin, Robin
A1  - Keusgen, Michael
A1  - Wege, Christian
A1  - Schöning, Michael Josef
T1  - Capacitive Field-Effect Biosensor Studying Adsorption of Tobacco Mosaic Virus Particles
JF  - Micromachines
N2  - Plant virus-like particles, and in particular, tobacco mosaic virus (TMV) particles, are increasingly being used in nano- and biotechnology as well as for biochemical sensing purposes as nanoscaffolds for the high-density immobilization of receptor molecules. The sensitive parameters of TMV-assisted biosensors depend, among others, on the density of adsorbed TMV particles on the sensor surface, which is affected by both the adsorption conditions and surface properties of the sensor. In this work, Ta₂O₅-gate field-effect capacitive sensors have been applied for the label-free electrical detection of TMV adsorption. The impact of the TMV concentration on both the sensor signal and the density of TMV particles adsorbed onto the Ta₂O₅-gate surface has been studied systematically by means of field-effect and scanning electron microscopy methods. In addition, the surface density of TMV particles loaded under different incubation times has been investigated. Finally, the field-effect sensor also demonstrates the label-free detection of penicillinase immobilization as model bioreceptor on TMV particles.
KW  - capacitive field-effect sensor
KW  - plant virus detection
KW  - tobacco mosaic virus (TMV)
KW  - TMV adsorption
KW  - Ta₂O₅ gate
Y1  - 2021
U6  - http://dx.doi.org/10.3390/mi12010057
VL  - 12
IS  - 1
PB  - MDPI
CY  - Basel
ER  - 
TY  - JOUR
A1  - Valero, Daniel
A1  - Schalko, Isabella
A1  - Friedrich, Heide
A1  - Abad, Jorge D.
A1  - Bung, Daniel B.
A1  - Donchyts, Gennadii
A1  - Felder, Stefan
A1  - Ferreira, Rui M. L.
A1  - Hohermuth, Benjamin
A1  - Kramer, Matthias
A1  - Li, Danxun
A1  - Mendes, Luis
A1  - Moreno-Rodenas, Antonio
A1  - Nones, Michael
A1  - Paron, Paolo
A1  - Ruiz-Villanueva, Virginia
A1  - Wang, Ruo-Qian
A1  - Franca, Mario J.
T1  - Pathways towards democratization of hydro-environment observations and data
JF  - Iahr White Paper Series
Y1  - 2021
IS  - 1
SP  - 1
EP  - 9
PB  - International Association for Hydro-Environment Engineering and Research (IAHR)
ER  - 
TY  - JOUR
A1  - Bernecker, Andreas
A1  - Boyer, Pierre C.
A1  - Gathmann, Christina
T1  - The Role of Electoral Incentives for Policy Innovation: Evidence from the US Welfare Reform
JF  - American Economic Journal: Economic Policy
Y1  - 2021
U6  - http://dx.doi.org/10.1257/pol.20190690
SN  - 1945-774X
VL  - 13
IS  - 2
SP  - 26
EP  - 57
PB  - American Economic Association
CY  - Nashville, Tenn.
ER  - 
TY  - JOUR
A1  - Engelmann, Ulrich M.
A1  - Shalaby, Ahmed
A1  - Shasha, Carolyn
A1  - Krishnan, Kannan M.
A1  - Krause, Hans-Joachim
T1  - Comparative modeling of frequency mixing measurements of magnetic nanoparticles using micromagnetic simulations and Langevin theory
JF  - Nanomaterials
N2  - Dual frequency magnetic excitation of magnetic nanoparticles (MNP) enables enhanced biosensing applications. This was studied from an experimental and theoretical perspective: nonlinear sum-frequency components of MNP exposed to dual-frequency magnetic excitation were measured as a function of static magnetic offset field. The Langevin model in thermodynamic equilibrium was fitted to the experimental data to derive parameters of the lognormal core size distribution. These parameters were subsequently used as inputs for micromagnetic Monte-Carlo (MC)-simulations. From the hysteresis loops obtained from MC-simulations, sum-frequency components were numerically demodulated and compared with both experiment and Langevin model predictions. From the latter, we derived that approximately 90% of the frequency mixing magnetic response signal is generated by the largest 10% of MNP. We therefore suggest that small particles do not contribute to the frequency mixing signal, which is supported by MC-simulation results. Both theoretical approaches describe the experimental signal shapes well, but with notable differences between experiment and micromagnetic simulations. These deviations could result from Brownian relaxations which are, albeit experimentally inhibited, included in MC-simulation, or (yet unconsidered) cluster-effects of MNP, or inaccurately derived input for MC-simulations, because the largest particles dominate the experimental signal but concurrently do not fulfill the precondition of thermodynamic equilibrium required by Langevin theory.
KW  - Magnetic nanoparticles
KW  - Frequency mixing magnetic detection
KW  - Langevin theory
KW  - Micromagnetic simulation
KW  - Nonequilibrium dynamics
Y1  - 2021
SN  - 2079-4991
U6  - http://dx.doi.org/10.3390/nano11051257
N1  - This article belongs to the Special Issue Applications and Properties of Magnetic Nanoparticles
VL  - 11
IS  - 5
SP  - 1
EP  - 16
PB  - MDPI
CY  - Basel
ER  - 
TY  - JOUR
A1  - Oliveira, Danilo A.
A1  - Molinnus, Denise
A1  - Beging, Stefan
A1  - Siqueira Jr, José R.
A1  - Schöning, Michael Josef
T1  - Biosensor Based on Self-Assembled Films of Graphene Oxide and Polyaniline Using a Field-Effect Device Platform
JF  - physica status solidi (a) applications and materials science
N2  - A new functionalization method to modify capacitive electrolyte–insulator–semiconductor (EIS) structures with nanofilms is presented. Layers of polyallylamine hydrochloride (PAH) and graphene oxide (GO) with the compound polyaniline:poly(2-acrylamido-2-methyl-1-propanesulfonic acid) (PANI:PAAMPSA) are deposited onto a p-Si/SiO2 chip using the layer-by-layer technique (LbL). Two different enzymes (urease and penicillinase) are separately immobilized on top of a five-bilayer stack of the PAH:GO/PANI:PAAMPSA-modified EIS chip, forming a biosensor for detection of urea and penicillin, respectively. Electrochemical characterization is performed by constant capacitance (ConCap) measurements, and the film morphology is characterized by atomic force microscopy (AFM) and scanning electron microscopy (SEM). An increase in the average sensitivity of the modified biosensors (EIS–nanofilm–enzyme) of around 15% is found in relation to sensors, only carrying the enzyme but without the nanofilm (EIS–enzyme). In this sense, the nanofilm acts as a stable bioreceptor onto the EIS chip improving the output signal in terms of sensitivity and stability.
KW  - capacitive electrolyte–insulator–semiconductor sensors
KW  - graphene oxide
KW  - layer-by-layer technique
KW  - nanomaterials
KW  - polyaniline
Y1  - 2021
U6  - http://dx.doi.org/10.1002/pssa.202000747
SN  - 1862-6319
N1  - Corresponding author: José R. Siqueira Jr & Michael J. Schöning
VL  - 218
IS  - 13
SP  - 1
EP  - 9
PB  - Wiley-VCH
CY  - Weinheim
ER  - 
TY  - JOUR
A1  - Welden, Rene
A1  - Nagamine Komesu, Cindy A.
A1  - Wagner, Patrick H.
A1  - Schöning, Michael Josef
A1  - Wagner, Torsten
T1  - Photoelectrochemical enzymatic penicillin biosensor: A proof-of-concept experiment
JF  - Electrochemical Science Advances
N2  - Photoelectrochemical (PEC) biosensors are a rather novel type of biosensors thatutilizelighttoprovideinformationaboutthecompositionofananalyte,enablinglight-controlled multi-analyte measurements. For enzymatic PEC biosensors,amperometric detection principles are already known in the literature. In con-trast, there is only a little information on H+-ion sensitive PEC biosensors. Inthis work, we demonstrate the detection of H+ions emerged by H+-generatingenzymes, exemplarily demonstrated with penicillinase as a model enzyme on atitanium dioxide photoanode. First, we describe the pH sensitivity of the sensorand study possible photoelectrocatalytic reactions with penicillin. Second, weshow the enzymatic PEC detection of penicillin.
KW  - enzymatic biosensor
KW  - penicillin
KW  - penicillinase
KW  - photoelectrochemistry
KW  - titanium dioxide photoanode
Y1  - 2021
U6  - http://dx.doi.org/10.1002/elsa.202100131
SN  - 2698-5977
N1  - Corresponding auhtor: Michael J. Schöning
VL  - 2
IS  - 4
SP  - 1
EP  - 5
PB  - Wiley-VCH
CY  - Weinheim
ER  - 
TY  - CHAP
A1  - Schmidt, Thomas
A1  - Kasch, Susanne
A1  - Eichler, Fabian
A1  - Thurn, Laura
T1  - Process strategies on laser-based melting of glass powder
T2  - Lasers in Manufacturing Conference 2021
N2  - This paper presents the laser-based powder bed fusion (L-PBF) using various glass powders (borosilicate and quartz glass). Compared to metals, these require adapted process strategies. First, the glass powders were characterized with regard to their material properties and their processability in the powder bed. This was followed by investigations of the melting behavior of the glass powders with different laser wavelengths (10.6 µm, 1070 nm). In particular, the experimental setup of a CO2 laser was adapted for the processing of glass powder. An experimental setup with integrated coaxial temperature measurement/control and an inductively heatable build platform was created. This allowed the L-PBF process to be carried out at the transformation temperature of the glasses. Furthermore, the component’s material quality was analyzed on three-dimensional test specimen with regard to porosity, roughness, density and geometrical accuracy in order to evaluate the developed L-PBF parameters and to open up possible applications.
KW  - 3D-printing
KW  - glass
KW  - additive manufactureing
KW  - laser based powder fusion
Y1  - 2021
ER  -