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Displaying 1 - 10 of 10
Approximate Bayesian Decision Theory With Neural Networks
Bayesian observer and actor models have provided normative explanations for many behavioral phenomena in perception ...
Geistes- und Sozialwissenschaften
Efficient Integration of Physically Enhanced Neural Networks in Particle-Resolved CFD Simulations of Industrial Packed-Bed Reactors
The investigation of novel or optimizing established processes is of paramount importance in chemical engineering in the ...
Engineering SciencesProcess Engineering, Technical Chemistry
Influence of Mixing Characteristics on Polymerization Reactors
The industrial production of high-density polyethylene (HDPE) through the catalytic polymerization of ethene is an ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie-
Investigation of the Phase Separation Process of Polymer-Monomer Mixtures II
The polymerization of low-density polyethylene takes place at high temperatures and pressures up to 3000 bar. Under ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie 
Quantification of Turbulent Coflow Effects on Liquid Fuel Atomization from a Pressure Swirl Atomizer
In response to the growing need for sustainable energy solutions and emission reduction, gas turbines offer a viable ...
Engineering SciencesProcess Engineering, Technical Chemistry-
Investigation of the Phase Separation Process of Polymer-Monomer Mixtures
The low-density polyethylene polymerization process takes place at high pressure and temperatures. Knowledge of the ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie 
Predicting Human Similarity Judgments Using Normalizing Flows
Recent work has shown that deep neural networks are able to predict human similarity judgments with high accuracy (e.g ...
Geistes- und Sozialwissenschaften
RUBI Simulation (Numerical Simulations on the Effect of an Electric Field on Nucleate Boiling in Microgravity)
Nucleate boiling is a very efficient heat transfer mechanism. It is used in a wide variety of applications on Earth ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie-
Scientific Machine Learning for Chemical Kinetics
Detailed multi-scale modelling provides in-depth insights into the complex phenomena of catalytic systems that typically ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie 
Investigation of Domain Switching Mechanics of Perovskite Ferroelectrics using Molecular Dynamics Simulations
Ferroelectric ceramics with perovskite structure can be used in novel cooling applications based on the electrocaloric ...
IngenieurwissenschaftenVerfahrenstechnik, Technische ChemieMaterialwissenschaft
