We are pleased to announce the program of the 29th TOP Webinar, a thematic session on “Data-Driven Multiscale Design”. It is scheduled for the 26th of March 2024, 16:00-17:00 CET (UTC+1) Time zone converter.
Following our new format, introduced in January, each webinar will revolve around a specific theme, comprising an educational/review paper (20 minutes) and two latest articles (10 minutes x 2) related to the same topic. The entire session will last for 1 hour.
Please register at this link. This event will also be live-streamed on YouTube with this permanent link.
Host: Dr. Wei Chen (Northwestern University, USA)
1 – Dr. Wei Chen, Wilson-Cook Professor in Engineering Design, Department of Mechanical Engineering, Northwestern University, USA
Doksoo Lee, Wei Chen, Liwei Wang, Yu‐Chin Chan, and Wei Chen. “Data‐Driven Design for Metamaterials and Multiscale Systems: A Review.” Advanced Materials (2023): 2305254.
https://doi.org/10.1002/adma.202305254
2 – Dr. Dennis M. Kochmann, Professor, Department of Mechanical and Process Engineering, ETH Zurich, Switzerland
Jan-Hendrik Bastek, and Dennis M. Kochmann, “Inverse Design of Nonlinear Mechanical Metamaterials via Video Denoising Diffusion Models.” Nature Machine Intelligence 5, 1466–1475 (2023).
https://doi.org/10.1038/s42256-023-00762-x
3 – Dr. Mohammad J. Mirzaali, Assistant Professor, Department of Biomechanical Engineering, Delft University of Technology (TU Delft), Netherlands
Helda Pahlavani, Kostas Tsifoutis‐Kazolis, Mauricio C. Saldivar, Prerak Mody, Jie Zhou, Mohammad J. Mirzaali, and Amir A. Zadpoor. “Deep Learning for Size‐Agnostic Inverse Design of Random‐Network 3D Printed Mechanical Metamaterials.” Advanced Materials 36, no. 6 (2024): 2303481
https://doi.org/10.1002/adma.202303481
