Accepted Papers

  • ARRID: ANN-based Rotordynamics for Robust and Integrated Design Soheyl Massoudi (EPFL)
  • Learning Robot Structure and Pose Embeddings using Graph Neural Networks J. Taery Kim (Georgia Institute of Technology), Jeongeun Park (Korea University), Sungjoon Choi (Korea University), Sehoon Ha (Georgia Institute of Technology), Project Link
  • Mates2Motion: Learning How Mechanical CAD Assemblies Work James W Noeckel (University of Washington); Benjamin T Jones (University of Washington); Adriana Schulz (University of Washington, USA); Brian Curless (University of Washington); Karl D.D. Willis (Autodesk Research)
  • Generative Thermal Design Through Boundary Representation and Multi-Agent Cooperative Environment Hadi Keramati (University of Waterloo), Feridun Hamdullahpur (University of Waterloo)
  • Designing Architected Materials using Neural Networks Saketh Sridhara (University of Wisconsin, Madison); Aaditya Chandrasekhar (University of Wisconsin, Madison); Krishnan Suresh (University of Wisconsin, Madison)
  • Automating Rigid Origami Design Jeremia Geiger (ETH Zurich); Karolis Martinkus (ETH Zurich); Oliver Richter (ETH Zurich); Roger Wattenhofer (ETH Zurich)
  • IH-GAN: A Conditional Generative Model for Inverse Design of Heterogeneous Cellular Structures Jun Wang (University of Maryland, College Park); Wei (Wayne) Chen (Northwestern University); Daicong Da (Northwestern University); Mark Fuge (University of Maryland, College Park); Rahul Rai (Clemson University)
  • t-METASET: Diversity-Driven Active Learning for Task-Aware Acquisition of Large-Scale Metamaterial Datasets at Early Stages Doksoo Lee (Northwestern University); Wei (Wayne) Chen (Northwestern University); Wei Chen (Northwestern University, UK)
  • Data-driven design of heterogeneous metamaterial system Liwei Wang (Northwestern University); Wei (Wayne) Chen (Northwestern University); Wei Chen (Northwestern University, UK)
  • Learning Robot Structure and Pose Embeddings using Graph Neural Networks Joanne T Kim (Georgia Institute of Technology); Jeongeun Park (Korea University); Sungjoon Choi (Korea University); Sehoon Ha (Georgia Institute of Technology)
  • Designing Stable Battery Interface Materials using Reinforcement Learning Jeffrey Law (NREL)*; Shubham Pandey (Colorado School of Mines); Prashun Gorai (Colorado School of Mines); Peter St. John (NREL)
  • Daphne: An Intelligent Assistant for Human-AI Collaborative Early Mission Formulation (Software Demo) Antoni Viros i Martin (Texas A&M University); Daniel Selva (Texas A&M University)
  • Materials featurization in PyMKS (pythonic Materials Knowledge System) Daniel Wheeler (NIST); Berkay Yucel (Georgia Institute of Technology); Devyani Jivani (University at Buffalo); Baskar Ganapathysubramanian (Iowa State University); Olga Wodo (University at Buffalo); Surya R. Kalidindi (Georgia Institute of Technology, Atlanta USA)
  • Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models in Design [Reseach Track] Lyle Regenwetter (Massachusetts Institute of Technology); Faez Ahmed (MIT)
  • Non-intrusive Learning of Physics-Informed Spatio-temporal Surrogate for Accelerating Design Sudeepta Mondal (Raytheon Technologies Research Center)*; Soumalya Sarkar (Raytheon Technologies Research Center)
  • Generative Thermal Design Through Boundary Representation and Multi-Agent Cooperative Environment Hadi Keramati (University of Waterloo)*; Feridun Hamdullahpur (University of Waterloo)
  • Designing Linker Molecules and Buck Converters: Generalizing Monte Carlo Tree Search in Design Problems Matt Campbell (Oregon State University, USA)
  • Customer Journey Mapping using Stochastic Models Yiqing Ding (Stanford University); Erin F. MacDonald (Stanford University, USA)
  • Differentiable Fluid-Structure Interaction using Surrogate Models for Fast Computational Design Mike Yan Michelis (ETH Z├╝rich); Elvis Nava (ETH Zurich); John Z Zhang (MIT); Tao Du (MIT); Pingchuan Ma (MIT); Benjamin F. Grewe (ETH Zurich); Wojciech Matusik (MIT); Robert Kevin Katzschmann (ETH Zurich)
  • Monte Carlo Tree Search for the Symmetrically Constrained Generation of Low-Bandgap Organic Molecules Akshay Subramanian (Massachusetts Institute of Technology); James Damewood (Massachusetts Institute of Technology); Rafael Gomez-Bombarelli (MIT)
  • Computational Co-Design for Variable Geometry Truss Jianzhe Gu (Carnegie Mellon University)