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November 2019
ISSN 1050-0472
EISSN 1528-9001
Special Issue: Machine Learning for Engineering Design
Guest Editorial
Special Issue: Machine Learning for Engineering Design
J. Mech. Des. November 2019, 141(11): 110301.
doi: https://doi.org/10.1115/1.4044690
Topics:
Design
,
Engineering design
,
Machine learning
,
Optimization
Design Theory and Methodology
Evolving a Psycho-Physical Distance Metric for Generative Design Exploration of Diverse Shapes
J. Mech. Des. November 2019, 141(11): 111101.
doi: https://doi.org/10.1115/1.4043678
Topics:
Design
,
Computer-aided design
,
Shapes
Learning to Design From Humans: Imitating Human Designers Through Deep Learning
J. Mech. Des. November 2019, 141(11): 111102.
doi: https://doi.org/10.1115/1.4044256
Topics:
Design
A Data-Driven Methodology to Construct Customer Choice Sets Using Online Data and Customer Reviews
J. Mech. Des. November 2019, 141(11): 111103.
doi: https://doi.org/10.1115/1.4044198
Design Automation
A Case Study of Deep Reinforcement Learning for Engineering Design: Application to Microfluidic Devices for Flow Sculpting
J. Mech. Des. November 2019, 141(11): 111401.
doi: https://doi.org/10.1115/1.4044397
Topics:
Design
,
Flow (Dynamics)
,
Shapes
,
Columns (Structural)
,
Microfluidics
,
Optimization
Globally Approximate Gaussian Processes for Big Data With Application to Data-Driven Metamaterials Design
J. Mech. Des. November 2019, 141(11): 111402.
doi: https://doi.org/10.1115/1.4044257
Topics:
Design
,
Metamaterials
,
Modeling
,
Optimization
,
Dimensions
,
Databases
,
Shapes
,
Noise (Sound)
Synthesizing Designs With Interpart Dependencies Using Hierarchical Generative Adversarial Networks
J. Mech. Des. November 2019, 141(11): 111403.
doi: https://doi.org/10.1115/1.4044076
Topics:
Design
,
Generators
,
Shapes
,
Geometry
Data-Driven Design of Control Strategies for Distributed Energy Systems
J. Mech. Des. November 2019, 141(11): 111404.
doi: https://doi.org/10.1115/1.4044077
Topics:
Batteries
,
Design
,
Storage
,
Photovoltaic power systems
,
Distributed power generation
Deep Generative Design: Integration of Topology Optimization and Generative Models
J. Mech. Des. November 2019, 141(11): 111405.
doi: https://doi.org/10.1115/1.4044229
Topics:
Design
,
Optimization
,
Topology
Design for Manufacture and the Life Cycle
Design Repository Effectiveness for 3D Convolutional Neural Networks: Application to Additive Manufacturing
J. Mech. Des. November 2019, 141(11): 111701.
doi: https://doi.org/10.1115/1.4044199
Technical Brief
Transferring Design Strategies From Human to Computer and Across Design Problems
J. Mech. Des. November 2019, 141(11): 114501.
doi: https://doi.org/10.1115/1.4044258
Topics:
Design
Machine Learning to Aid Tuning of Numerical Parameters in Topology Optimization
J. Mech. Des. November 2019, 141(11): 114502.
doi: https://doi.org/10.1115/1.4044228
Topics:
Design
,
Machine learning
,
Optimization
,
Topology
,
Algorithms
Errata
Erratum: “Data-Driven Design Space Exploration and Exploitation for Design for Additive Manufacturing” [ASME J. Mech. Des. 2019, 141(10), p. 101101; DOI: 10.1115/1.4043587]
J. Mech. Des. November 2019, 141(11): 117001.
doi: https://doi.org/10.1115/1.4044872
Topics:
Additive manufacturing
,
Design
Announcement
Special Issue: Analysis and Design of Sociotechnical Systems
Babak Heydari, Zoe Szajnfarber, Jitesh Panchal, Michel-Alexandre Cardin, Katja Holtta-Otto, Gül E. Kremer, Wei Chen
J. Mech. Des. November 2019, 141(11): 118001.
doi: https://doi.org/10.1115/1.4029150
Topics:
Design
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