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Exploiting the recent advancements in artificial intelligence, showcased by ChatGPT and DALL-E, in real-world applications necessitates vast, domain-specific, and publicly accessible datasets.
“A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code.”
Mckay, Michael D., Beckman, Richard J. and Conover, William J · 2000
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“Random Forests.”
Breiman, Leo · 2001
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“AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.” (2020)
Erickson, Nick, Mueller, Jonas, Shirkov, Alexander, Zhang, Hang, Larroy, Pedro, Li, Mu and Smola, Alexander · 2003
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“Active Learning For Identifying Function Threshold Boundaries.”
Bryan, Brent, Nichol, Robert C., Genovese, Christopher R, Schneider, Jeff, Miller, Christopher J. and Wasserman, Larry · 2005
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Fundamentals of Turbocharging
Baines, Nicholas C · 2005
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“Constructing Sobol Sequences with Better Two-Dimensional Projections.”
Joe, Stephen and Kuo, Frances Y · 2008
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“Design, Experimental Investigation and Multi-Objective Optimization of a Small-Scale Radial Compressor for Heat Pump Applications.”
Schiffmann, Jürg and Favrat, Daniel · 2009
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“Performance Analysis of a Microturbine Centrifugal Compressor From a Manufacturing Perspective.”
Javed, Adeel, Olivero, Mattia, Pecnik, Rene and van Buijtenen, Jos P · 2011
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“Determinantal Point Processes for Machine Learning.”
Kulesza, Alex and Taskar, Ben · 2012
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“Borg: An Auto-Adaptive Many-Objective Evolutionary Computing Framework.”
Hadka, David and Reed, Patrick · 2013
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“Validation of a 1D Compressor Model for Performance Prediction.”
De Bellis, Vincenzo, Bozza, Fabio, Bevilacqua, Marco, Bonamassa, Guido and Schernus, Christof · 2013
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“Modeling and Experimental Investigation of an Oil-Free Microcompressor-Turbine Unit for an Organic Rankine Cycle Driven Heat Pump.”
Demierre, Jonathan, Rubino, Antonio and Schiffmann, Jürg · 2014
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“A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems.”
Benner, Peter, Gugercin, Serkan and Willcox, Karen · 2015
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“ShapeNet: An Information-Rich 3D Model Repository.” (2015)
Chang, Angel X., Funkhouser, Thomas, Guibas, Leonidas, Hanrahan, Pat, Huang, Qixing, Li, Zimo, Savarese, Silvio, Savva, Manolis, Song, Shuran, Su, Hao, Xiao, Jianxiong, Yi, Li and Yu, Fisher · 2015
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“Small-Scale Turbocompressors for Wide-Range Operation with Large Tip-Clearances for a Two-Stage Heat Pump Concept.”
Javed, Adeel, Arpagaus, Cordin, Bertsch, Stefan and Schiffmann, Jürg · 2016
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Principles of Optimal Design: Modeling and Computation
Papalambros, Panos Y. and Wilde, Douglass J · 2017
Cited alongside, same era.
“A Unified Approach to Interpreting Model Predictions.”
Lundberg, Scott M and Lee, Su-In · 2017
Cited alongside, same era.
“Maximizing Acquisition Functions for Bayesian Optimization.”
Wilson, James, Hutter, Frank and Deisenroth, Marc · 2018
Cited alongside, same era.
“Data-Driven Predesign Tool for Small-Scale Centrifugal Compressor in Refrigeration.”
Mounier, Violette, Picard, Cyril and Schiffmann, Jurg · 2018
Cited alongside, same era.
“Design of Centrifugal Compressors for Heat Pump Systems.”
Meroni, Andrea, Zühlsdorf, Benjamin, Elmegaard, Brian and Haglind, Fredrik · 2018
Cited alongside, same era.
“Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis.”
Reuther, Albert, Kepner, Jeremy, Byun, Chansup, Samsi, Siddharth, Arcand, William, Bestor, David, Bergeron, Bill, Gadepally, Vijay, Houle, Michael, Hubbell, Matthew, Jones, Michael, Klein, Anna, Milechin, Lauren, Mullen, Julia, Prout, Andrew, Rosa, Antonio, Yee, Charles and Michaleas, Peter · 2018
“Datasheets for Datasets.” (2021)
Gebru, Timnit, Morgenstern, Jamie, Vecchione, Briana, Vaughan, Jennifer Wortman, Wallach, Hanna, Daumé III, Hal and Crawford, Kate · 2021
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“PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design.”
Heyrani Nobari, Amin, Chen, Wei and Ahmed, Faez · 2021
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“Robust Design Using Multiobjective Optimisation and Artificial Neural Networks with Application to a Heat Pump Radial Compressor.”
Massoudi, Soheyl, Picard, Cyril and Schiffmann, Jürg · 2021
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“Emergent Abilities of Large Language Models.”
Wei, Jason, Tay, Yi, Bommasani, Rishi, Raffel, Colin, Zoph, Barret, Borgeaud, Sebastian, Yogatama, Dani, Bosma, Maarten, Zhou, Denny, Metzler, Donald, Chi, Ed H., Hashimoto, Tatsunori, Vinyals, Oriol, Liang, Percy, Dean, Jeff and Fedus, William · 2022
Later among the works it cites.
“LINKS: A Dataset of a Hundred Million Planar Linkage Mechanisms for Data-Driven Kinematic Design.”
Heyrani Nobari, Amin, Srivastava, Akash, Gutfreund, Dan and Ahmed, Faez · 2022
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Cited alongside, same era.
“3D Design Using Generative Adversarial Networks and Physics-Based Validation.”
Shu, Dule, Cunningham, James, Stump, Gary, Miller, Simon W., Yukish, Michael A., Simpson, Timothy W. and Tucker, Conrad S · 2019
Cited alongside, same era.
Journal of Mechanical Design
“Special Issue: Machine Learning for Engineering Design.” · 2019
Cited alongside, same era.
“Multifidelity and Multiscale Bayesian Framework for High-Dimensional Engineering Design and Calibration.”
Sarkar, Soumalya, Mondal, Sudeepta, Joly, Michael, Lynch, Matthew E., Bopardikar, Shaunak D., Acharya, Ranadip and Perdikaris, Paris · 2019
Cited alongside, same era.
“Language Models Are Few-Shot Learners.”
Brown, Tom, Mann, Benjamin, Ryder, Nick, Subbiah, Melanie, Kaplan, Jared D, Dhariwal, Prafulla, Neelakantan, Arvind, Shyam, Pranav, Sastry, Girish, Askell, Amanda, Agarwal, Sandhini, Herbert-Voss, Ariel, Krueger, Gretchen, Henighan, Tom, Child, Rewon, Ramesh, Aditya, Ziegler, Daniel, Wu, Jeffrey, Winter, Clemens, Hesse, Chris, Chen, Mark, Sigler, Eric, Litwin, Mateusz, Gray, Scott, Chess, Benjamin, Clark, Jack, Berner, Christopher, McCandlish, Sam, Radford, Alec, Sutskever, Ilya and Amodei, Dario · 2020
Cited alongside, same era.
“METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design.”
Chan, Yu-Chin, Ahmed, Faez, Wang, Liwei and Chen, Wei · 2020
Cited alongside, same era.
“BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.”
Balandat, Maximilian, Karrer, Brian, Jiang, Daniel, Daulton, Samuel, Letham, Ben, Wilson, Andrew G and Bakshy, Eytan · 2020
Cited alongside, same era.
“Deep Generative Models in Engineering Design: A Review.”
Regenwetter, Lyle, Heyrani Nobari, Amin and Ahmed, Faez · 2022
Later among the works it cites.
“Three-Dimensional Ship Hull Encoding and Optimization via Deep Neural Networks.”
Wang, Yuyang, Joseph, Joe, Aniruddhan Unni, T. P., Yamakawa, Soji, Barati Farimani, Amir and Shimada, Kenji · 2022
Later among the works it cites.
“Beyond Neural Scaling Laws: Beating Power Law Scaling via Data Pruning.” (2022)
Sorscher, Ben, Geirhos, Robert, Shekhar, Shashank, Ganguli, Surya and Morcos, Ari S · 2022
Later among the works it cites.
“T-METASET: Task-Aware Acquisition of Metamaterial Datasets Through Diversity-Based Active Learning.”
Lee, Doksoo, Chan, Yu-Chin, Chen, Wei (Wayne), Wang, Liwei, van Beek, Anton and Chen, Wei · 2022
Later among the works it cites.
“Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.” (2022)
Yu, Jiahui, Xu, Yuanzhong, Koh, Jing Yu, Luong, Thang, Baid, Gunjan, Wang, Zirui, Vasudevan, Vijay, Ku, Alexander, Yang, Yinfei, Ayan, Burcu Karagol, Hutchinson, Ben, Han, Wei, Parekh, Zarana, Li, Xin, Zhang, Han, Baldridge, Jason and Wu, Yonghui · 2023
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“The Lean Data Scientist: Recent Advances Toward Overcoming the Data Bottleneck.”
Shani, Chen, Zarecki, Jonathan and Shahaf, Dafna · 2023
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“Attention-Enhanced Multimodal Learning for Conceptual Design Evaluations.”
Song, Binyang, Miller, Scarlett and Ahmed, Faez · 2023
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Kucherenko, Sergei, Albrecht, Daniel and Saltelli, Andrea · 2023
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Regenwetter, Lyle, Srivastava, Akash, Gutfreund, Dan and Ahmed, Faez · 2023
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“High-Speed Turbocompressors for Natural Fluid Heat-Pumps: From Integrated Design to Digital-Twin.”
Olmedo, Luis Eric · 2023
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