Sledovat
Mark Fuge
Název
Citace
Citace
Rok
Deep learning for molecular design—a review of the state of the art
DC Elton, Z Boukouvalas, MD Fuge, PW Chung
Molecular Systems Design & Engineering 4 (4), 828-849, 2019
6652019
Applying machine learning techniques to predict the properties of energetic materials
DC Elton, Z Boukouvalas, MS Butrico, MD Fuge, PW Chung
Scientific Reports 8 (1), 9059-9070, 2018
2502018
Airfoil design parameterization and optimization using bézier generative adversarial networks
W Chen, K Chiu, MD Fuge
AIAA journal 58 (11), 4723-4735, 2020
1462020
Aerodynamic design optimization and shape exploration using generative adversarial networks
W Chen, K Chiu, M Fuge
AIAA Scitech 2019 forum, 2351, 2019
1352019
Conceptual design and modification of freeform surfaces using dual shape representations in augmented reality environments
M Fuge, ME Yumer, G Orbay, LB Kara
Computer-Aided Design 44 (10), 1020-1032, 2012
972012
Diverse weighted bipartite b-matching
F Ahmed, JP Dickerson, M Fuge
Proceedings of the 26th International Joint Conference on Artificial …, 2017
842017
Analysis of collaborative design networks: A case study of openideo
M Fuge, K Tee, A Agogino, N Maton
Journal of Computing and Information Science in Engineering 14 (2), 021009, 2014
83*2014
Synthesizing designs with interpart dependencies using hierarchical generative adversarial networks
W Chen, M Fuge
Journal of Mechanical Design 141 (11), 111403, 2019
712019
IH-GAN: A conditional generative model for implicit surface-based inverse design of cellular structures
J Wang, WW Chen, D Da, M Fuge, R Rai
Computer Methods in Applied Mechanics and Engineering 396, 115060, 2022
702022
Design manifolds capture the intrinsic complexity and dimension of design spaces
W Chen, M Fuge, J Chazan
Journal of Mechanical Design 139 (5), 051102, 2017
612017
B\'ezierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters
W Chen, M Fuge
arXiv preprint arXiv:1808.08871, 2018
602018
Machine learning algorithms for recommending design methods
M Fuge, B Peters, A Agogino
Journal of Mechanical Design 136 (10), 101103, 2014
572014
Machine learning for engineering design
JH Panchal, M Fuge, Y Liu, S Missoum, C Tucker
Journal of Mechanical Design 141 (11), 110301, 2019
562019
Pattern analysis of IDEO's human-centered design methods in developing regions
M Fuge, A Agogino
Journal of mechanical Design 137 (7), 071405, 2015
452015
Inverse design of two-dimensional airfoils using conditional generative models and surrogate log-likelihoods
Q Chen, J Wang, P Pope, W Chen, M Fuge
Journal of Mechanical Design 144 (2), 021712, 2022
372022
How should we measure creativity in engineering design? A comparison between social science and engineering approaches
SR Miller, ST Hunter, E Starkey, S Ramachandran, F Ahmed, M Fuge
Journal of Mechanical Design 143 (3), 031404, 2021
372021
Automatically Inferring Metrics for Design Creativity
M Fuge, J Stroud, A Agogino
ASME 2013 International Design Engineering Technical Conferences and …, 2013
372013
Beyond the known: Detecting novel feasible domains over an unbounded design space
W Chen, M Fuge
Journal of Mechanical Design 139 (11), 111405, 2017
352017
Discovering diverse, high quality design ideas from a large corpus
F Ahmed, M Fuge, LD Gorbunov
International Design Engineering Technical Conferences and Computers and …, 2016
352016
Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora
DC Elton, D Turakhia, N Reddy, Z Boukouvalas, MD Fuge, RM Doherty, ...
arXiv preprint arXiv:1903.00415, 2019
312019
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Články 1–20