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Daniel Apley
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Proceedings Papers

Data-Driven Design via Scalable Gaussian Processes for Multi-Response Big Data With Qualitative Factors

Liwei Wang, Suraj Yerramilli, Akshay Iyer, Daniel Apley, Ping Zhu, Wei Chen
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A018, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71570
https://doi.org/10.1115/DETC2021-71570
View Paper titled, Data-Driven Design via Scalable Gaussian Processes for Multi-Response Big Data With Qualitative Factors
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Topics: Data-driven design, Design, Metamodeling, Optimization, Topology, Machine learning, Architecture, Blocks (Building materials), Compliant mechanisms, Metamaterials
Journal Articles

Scalable Gaussian Processes for Data-Driven Design Using Big Data With Categorical Factors

Liwei Wang, Suraj Yerramilli, Akshay Iyer, Daniel Apley, Ping Zhu, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021703.
Paper No: MD-21-1235
https://doi.org/10.1115/1.4052221
Published Online: September 15, 2021
View Article titled, Scalable Gaussian Processes for Data-Driven Design Using Big Data With Categorical Factors
Open the PDF for Scalable Gaussian Processes for Data-Driven Design Using Big Data With Categorical Factors in another window
Topics: Data-driven design, Design, Machine learning, Metamaterials, Modeling, Optimization
Journal Articles

Scalable Adaptive Batch Sampling in Simulation-Based Design With Heteroscedastic Noise

Anton van Beek, Umar Farooq Ghumman, Joydeep Munshi, Siyu Tao, TeYu Chien, Ganesh Balasubramanian, Matthew Plumlee, Daniel Apley, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2021, 143(3): 031709.
Paper No: MD-20-1421
https://doi.org/10.1115/1.4049134
Published Online: December 15, 2020
View Article titled, Scalable Adaptive Batch Sampling in Simulation-Based Design With Heteroscedastic Noise
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Topics: Design, Noise (Sound), Optimization, Simulation, Interpolation, Uncertainty, Simulation models, Modeling
Proceedings Papers

Scalable Objective-Driven Batch Sampling in Simulation-Based Design for Models With Heteroscedastic Noise

Anton van Beek, Umar Farooq Ghumman, Joydeep Munshi, Siyu Tao, TeYu Chien, Ganesh Balasubramanian, Matthew Plumlee, Daniel Apley, Wei Chen
Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A049, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22629
https://doi.org/10.1115/DETC2020-22629
View Paper titled, Scalable Objective-Driven Batch Sampling in Simulation-Based Design for Models With Heteroscedastic Noise
Open the PDF for Scalable Objective-Driven Batch Sampling in Simulation-Based Design for Models With Heteroscedastic Noise in another window
Topics: Design, Noise (Sound), Simulation, Optimization, Simulation models, Algorithms, Interpolation, Uncertainty