Solid oxide fuel cell stack simulation and optimization, including experimental validation and transient behavior

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The transition from planar to three-dimensional (3D) magnetic nanostructures represents a significant advancement in both fundamental research and practical applications, offering vast potential for next-generation technologies like ultrahigh-density stora ...

A method for optimizing at least one of a geometry, an implantation procedure, and/or stimulation protocol of one or more electrodes for an electrical stimulation of a target structure in a nervous system of a living being by a computer device, the method ...

In this paper, we consider experimental data available for graphene-based nanolubricants to evaluate their convective heat transfer performance by means of computational fluid dynamics (CFD) simulations. Single-phase models with temperature-dependent prope ...

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A reversible photo-electrochemical device operating under concentrated irradiation could offer a stand-alone solution for producing solar fuel (in photo-driven electrolysis mode) and power (in fuel cell mode). This strategy would present the advantage of h ...

Sensing and imaging of light in the shortwave infrared (SWIR) range is increasingly used in various fields, including bio-imaging, remote sensing, and semiconductor process control. SWIR-sensitive organic photodetectors (OPDs) are promising because organic ...

The auxiliary power supply for medium voltage converters requires high insulation capability between the source and the load. Inductive power transfer technology, with an air gap between the primary and secondary coil, offers such high insulation capabilit ...

In this thesis we explore the applications of projective geometry, a mathematical theory of the relation between 3D scenes and their 2D images, in modern learning-based computer vision systems. This is an interesting research question which contradicts the ...

Electrical stimulation of the nervous system has emerged as a promising assistive technology in case of many injuries and illnesses across various parts of the nervous system. In particular, the invasive neuromodulation of the peripheral nervous system see ...

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The goal of this work is to use anisotropic adaptive finite elements for the numerical simulation of aluminium electrolysis. The anisotropic adaptive criteria are based on a posteriori error estimates derived for simplified problems. First, we consider an ...

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Because building-integrated photovoltaic (BIPV) modules are fully integrated into a building envelope, the back of the module can be exposed to little or no ventilation, resulting in increased operating temperatures. As the temperature increases, the perfo ...

A frequency scaling governor is critical for the performance management of cloud servers, as it enhances energy efficiency and helps to control operational temperatures, thereby ensuring system reliability. However, our in-depth analysis of the application ...

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In a collaboration between Ecole Polytechnique Fédérale de Lausanne (EPFL) and CEA, in the fall of 2020, the experimental Programme d’Étude en Transmission de l’Acier Lourd et ses Eléments (PETALE) was successfully carried out in the CROCUS reactor of EPFL ...

Solid oxide fuel cell stack simulation and optimization, including experimental validation and transient behavior

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2025 roadmap on 3D nanomagnetism

A method and system for optimizing design, implantation, and stimulation protocols of electrodes stimulating the nervous system

Computational fluid dynamics simulations of the heat transfer properties of graphene-based nanolubricants and application to hydrodynamic lubrication

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Scalable constrained optimization

Stress tolerance of lightweight glass-free PV modules for vehicle integration

Robot Learning using Tensor Networks

Advanced Silicon and SWIR Single-Photon Avalanche Diodes: Design, Simulation, and Characterization

Reversible photo-electrochemical device for solar hydrogen and power generation

Shortwave Infrared-Sensitive, Narrowband Organic Upconversion Devices with a Gain

Modeling and optimization of PCB coils for inductive power transfer systems

Incorporating Projective Geometry into Deep Learning

Biophysically accurate and machine learning-based surrogate models to optimize neuroprosthesis design and operation

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Adaptive Finite Elements with Large Aspect Ratio. Application to Aluminium Electrolysis

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

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Optimal Depth of Discharge for Electric Batteries with Robust Capacity-Shrinkage Estimator

High-Resolution Modeling Without Computation Slowdown for PETALE in CROCUS