See How Multiphysics Simulation Is Used in Research and Development
Engineers, researchers, and scientists across industries use multiphysics simulation to research and develop innovative product designs and processes. Find inspiration in technical papers and presentations they have presented at the COMSOL Conference. Browse the selection below or use the Quick Search tool to find a specific presentation or filter by application area.
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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 ... Read More
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) ... Read More
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. ... Read More
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 ... Read More
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 ... Read More
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 ... Read More
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 ... Read More
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 ... Read More
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. ... Read More
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 ... Read More