Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Nobari, Amin Heyrani"'
In this paper, we introduce LInK, a novel framework that integrates contrastive learning of performance and design space with optimization techniques for solving complex inverse problems in engineering design with discrete and continuous variables. W
Externí odkaz:
http://arxiv.org/abs/2405.20592
This paper introduces a public dataset of 1.4 million procedurally-generated bicycle designs represented parametrically, as JSON files, and as rasterized images. The dataset is created through the use of a rendering engine which harnesses the BikeCAD
Externí odkaz:
http://arxiv.org/abs/2402.05301
Topology optimization is a critical task in engineering design, where the goal is to optimally distribute material in a given space for maximum performance. We introduce Neural Implicit Topology Optimization (NITO), a novel approach to accelerate top
Externí odkaz:
http://arxiv.org/abs/2402.05073
Computational Fluid Dynamics (CFD) is widely used in different engineering fields, but accurate simulations are dependent upon proper meshing of the simulation domain. While highly refined meshes may ensure precision, they come with high computationa
Externí odkaz:
http://arxiv.org/abs/2308.07358
In this paper, we introduce LINKS, a dataset of 100 million one degree of freedom planar linkage mechanisms and 1.1 billion coupler curves, which is more than 1000 times larger than any existing database of planar mechanisms and is not limited to spe
Externí odkaz:
http://arxiv.org/abs/2208.14567
Automated design synthesis has the potential to revolutionize the modern engineering design process and improve access to highly optimized and customized products across countless industries. Successfully adapting generative Machine Learning to desig
Externí odkaz:
http://arxiv.org/abs/2110.10863
Engineering design tasks often require synthesizing new designs that meet desired performance requirements. The conventional design process, which requires iterative optimization and performance evaluation, is slow and dependent on initial designs. P
Externí odkaz:
http://arxiv.org/abs/2106.03620
Typical engineering design tasks require the effort to modify designs iteratively until they meet certain constraints, i.e., performance or attribute requirements. Past work has proposed ways to solve the inverse design problem, where desired designs
Externí odkaz:
http://arxiv.org/abs/2103.06230
Modern machine learning techniques, such as deep neural networks, are transforming many disciplines ranging from image recognition to language understanding, by uncovering patterns in big data and making accurate predictions. They have also shown pro
Externí odkaz:
http://arxiv.org/abs/2103.06242
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