research
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06/26/2023
Unifying the design space of truss metamaterials by generative modeling
The rise of machine learning has fueled the discovery of new materials a...
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05/31/2023
Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models
The accelerated inverse design of complex material properties - such as ...
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07/26/2022
Physics-Informed Neural Networks for Shell Structures
The numerical modeling of thin shell structures is a challenge, which ha...
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05/28/2022
Topology Optimization of Graded Truss Lattices Based on On-the-Fly Homogenization
We introduce a computational framework for the topology optimization of ...
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01/17/2022
Numerical approaches for investigating quasiconvexity in the context of Morrey's conjecture
Deciding whether a given function is quasiconvex is generally a difficul...
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09/17/2021
What machine learning can do for computational solid mechanics
Machine learning has found its way into almost every area of science and...
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12/31/2020
