COMSOL Conference 2024 Proceedings
Vom Program Committee akzeptierte Sammlung von Beiträgen, Postern und Präsentationen
Auf der COMSOL Conference 2024 stellten Ingenieure, Forscher und Wissenschaftler aus aller Welt ihre Nutzung von Modellierung und Simulation in allen wichtigen Branchen und im akademischen Bereich vor. Verwenden Sie die Schnellsuche, um eine bestimmte Präsentation zu finden, oder filtern Sie nach Thema oder Veranstaltungsort. ISBN: 978-1-7364524-2-4
In order to facilitate semiconductor production in the upcoming technology nodes (3nm, 2nm, 14A) our state-of-the-art multi beam mask writer (MBMW) needs constant improvement in throughput and writing precision. As these two goals contradict each other, adaption of the electron optical ... Mehr lesen
Temperature homogeneity is a critical issue for high temperature vacuum furnaces for heat treatment, as small temperature variations in the load volume can significantly influence the heat treatment result. It is generally defined by the so-called Temperature Uniformity Survey (TUS) ... Mehr lesen
Axial-flux permanent-magnet motors are an important technology in many technical applications, being an alternative to radial-flux motors. Axial-flux motors come up with many advantages in comparison to radial-flux motors such as high-power density, higher torque to weight ratio etc. ... Mehr lesen
In collaboration with STMicroelectronics, UNIFI employed advanced multiphysics simulations to optimize the electroplating processes used in chip manufacturing. This project focused on enhancing the uniformity and quality of copper layers deposited on microchips, which are integral ... Mehr lesen
Design of the electromagnetic system requires a procedure where certain parameters need to be maximized under constraints placed on its dimensions. Optimization routines that can maximize the function value under given constraints are required. Design of such systems coupled with the ... Mehr lesen
Over the past 10 years, scientific, technical, and technological advancements have significantly propelled the integration of artificial intelligence and machine learning technologies within the field of physics, particularly in numerical simulations and the design of autonomous and ... Mehr lesen
In the realm of functional material design, achieving desired macroscopic properties through precise microstructural configurations remains a significant challenge. Numerical homogenization is a powerful computational approach used to derive effective macroscopic properties of materials ... Mehr lesen
The increasing demand for large battery packs, driven by the expanding markets for electric vehicles (EVs) and grid-scale energy storage system, necessitates the development rapid battery pack development pipelines such as simulation. We present an integrated multiscale simulation ... Mehr lesen
In recent years, conventional rigid and planar sensor devices are gradually substituted by flexible and stretchable alternatives. This paradigm shift has paved the way to entirely new applications, particularly in the field of personalized health monitoring or environmental sensing. ... Mehr lesen
Materials such as aluminium with high thermal and electrical conductivities are of industrial interest, particularly for the automotive industry in the current context of increasing production of electric vehicles. The reflective properties of this material make it difficult to process ... Mehr lesen