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Displaying 1 - 17 of 17
Ab-initio Modeling of Battery Materials
One approach to the realization of safer batteries relies on all solid-state batteries (ASSB) which use a non-flammable ...
IngenieurwissenschaftenMaterialwissenschaft
Ab-Initio Thermodynamics of Refractory Mo-Si-Ti Phases at High Temperatures
Refractory metal silicide systems like Mo-Si-Ti are expected to be ideal substrates in composite materials for high ...
IngenieurwissenschaftenMaterialwissenschaft
Algorithm Unfolding in Multicell Downlink MIMO Precoding
In wireless communications, beamforming is utilized for the reception and transmission of directional wireless signals ...
IngenieurwissenschaftenElektrotechnik und Informationstechnik
Bayesian Inference of Cyclic Transcription Dynamics
Transcription is the process of converting DNA into RNA and is essential to cellular life. The transcription process ...
NaturwissenschaftenStatistische Physik, Weiche Materie, Biologische Physik, Nichtlineare Dynamik
Calculating Temperature Dependent Properties of 2D Magnets
Predicting the temperature dependent properties of magnetic materials is still challenging, which cannot be dealt with ...
IngenieurwissenschaftenMaterialwissenschaft
Deep Reinforcement Learning: Benchmarking, Algorithms and Applications
Deep Learning is the major component of the success of most new Artificial Intelligence applications. A new promising ...
Ingenieurwissenschaften
Designing an Efficient Neural Architecture Search
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
IngenieurwissenschaftenInformatik
Elucidating the CO2 Activation in the Context of the Reverse Water Gas Shift Reaction
The aim of the last project was to understand the CO2 activation over Au and Cu loaded ceria and bare indium oxide. In ...
NaturwissenschaftenChemische Festkörper- und Oberflächenforschung
First-Principles Calculations of Spectroscopic Signatures I
Ideal one-dimensional (1D) electronic systems are fascinating, as they show quantisation of conductance, charge-density ...
NaturwissenschaftenPhysik der kondensierten Materie
High-Throughput Design of New Perovskite Oxide Antiferroelectric Materials
Antiferroelectric (AFE) materials have recently been of a great interest, due to their unique applications in the energy ...
NaturwissenschaftenPhysik der kondensierten Materie
High Throughput Optimization of Permanent Magnetic Materials
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
IngenieurwissenschaftenMaterialwissenschaft
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Normative computational models of human sensorimotor behavior based on optimal feedback control with signal-dependent ...
LebenswissenschaftenNeurowissenschaft
Learning Physically Interactive Behaviours for Human-Robot Interaction
Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human’s actions ...
IngenieurwissenschaftenInformatik
Measure-Valued Derivatives for Reinforcement Learning
Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...
IngenieurwissenschaftenInformatik
Multi-Scale Modeling of Additive Manufactured Magnetic Materials
In 2018, Gottschall et al. proposed a multi-stimulit concept for magnetocaloric cooling. [1] The energy consumption ...
IngenieurwissenschaftenMaterialwissenschaft
Rational Design of Narrow-Hysteresis Materials by Tailoring Magnetoelastic Interactions
One important aim of modern energy-conserving technologies is magnetic cooling at room temperature. This environmentally ...
NaturwissenschaftenPhysik der kondensierten MaterieIngenieurwissenschaftenMaterialwissenschaft
When to Trust Your Model in Model-based Value Expansion?
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
IngenieurwissenschaftenInformatik
