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Nathan Hertlein
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Proceedings Papers

Generative Adversarial Design Analysis of Non-Convexity in Topology Optimization

Nathan Hertlein, Andrew Gillman, Philip R. Buskohl
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A044, August 14–17, 2022
Paper No: DETC2022-89997
DOI: https://doi.org/10.1115/DETC2022-89997
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Topics: Design, Optimization, Topology, Filtration, Boundary-value problems, Filters, Fluctuations (Physics), Machine learning, Performance
Journal Articles

Bayesian Optimization of Equilibrium States in Elastomeric Beams

David Yoo, Nathan Hertlein, Vincent W. Chen, Carson L. Willey, Andrew Gillman, Abigail Juhl, Sam Anand, Kumar Vemaganti, Philip R. Buskohl
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. November 2021, 143(11): 111702.
Paper No: MD-20-1754
DOI: https://doi.org/10.1115/1.4050743
Published Online: May 28, 2021
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Topics: Design, Displacement, Optimization, Fourier series, Equilibrium (Physics)
Includes: Supplementary data
Proceedings Papers

Bayesian Optimization of Energy-Absorbing Lattice Structures for Additive Manufacturing

Nathan Hertlein, Kumar Vemaganti, Sam Anand
Proc. ASME. IMECE2020, Volume 6: Design, Systems, and Complexity, V006T06A028, November 16–19, 2020
Paper No: IMECE2020-23377
DOI: https://doi.org/10.1115/IMECE2020-23377
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Topics: Additive manufacturing, Design, Optimization
Proceedings Papers

Bayesian Optimization of Target Buckling Shapes in Constrained Elastomeric Beams With Geometric Uncertainty

Nathan Hertlein, David Yoo, Philip R. Buskohl, Kumar Vemaganti, Sam Anand
Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A058, August 17–19, 2020
Paper No: DETC2020-22608
DOI: https://doi.org/10.1115/DETC2020-22608
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Topics: Additive manufacturing, Buckling, Design, Optimization, Shapes, Uncertainty