Past webinars

Missed an event? Watch videos of past TOP Webinars on YouTube or Bilibili.

TOP Webinar series #1-#8, 2020 link

TOP Webinar 11
March 25, 2021, Thursday
Youtube

Host: Emilio Carlos Nelli Silva (University of São Paulo, Brazil)

1 – Antonio Andre Novotny (National Laboratory for Scientific Computing, Petrópolis, Brazil)
A.A.S. Amad, A.A. Novotny & B.B. Guzina. “On the full-waveform inversion of seismic moment tensors”, International Journal of Solids and Structures, 202(1):717-728, 2020
Paper | Slides

2 – Liang Xia (Huazhong University of Science and Technology, China)
Zhen Liu, Liang Xia, Qi Xia, Tielin Shi, “Data-driven design approach to hierarchical hybrid structures with multiple lattice configurations”, Structural and Multidisciplinary Optimization 61: 2227-2235, 2020
Paper | Slides

3 – José Carlos Bellido Guerrero (University of Castilla–La Mancha, Spain)
R. Ortigosa, J. Martinez-Frutos, D. Ruiz, A. Donoso, J.C. Bellido, “Density-based Topology Optimisation considering nonlinear electromechanics”, Structural and Multidisciplinary Optimization (2021) – accepted
Slides

4- Peter D Dunning (University of Aberdeen, UK)
Fabian Wein, Peter D Dunning, Julian Norato – “A review on feature-mapping methods for structural optimization”, Structural and Multidisciplinary Optimization, 62, 1597–1638 (2020)
Paper | Slides

5 – Daniel Milbrath De Leon (Federal University of Rio Grande do Sul, Brazil)
Daniel Milbrath De Leon, Juliano F. Gonçalves, Carlos E. de Souza, “Stress-based topology optimization of compliant mechanisms design using geometrical and material nonlinearities”, Structural and Multidisciplinary Optimization (2020) 62:231–248
Paper | Slides

TOP Webinar 10
Feb. 23, 2021, Tuesday
YouTube

Host
Joe Alexandersen, University of Southern Denmark

1. “3D topology optimization of heat sinks for liquid cooling”
Sicheng Sun, Piotr Liebersbach, Xiaoping Qian – University of Wisconsin-Madison
Applied Thermal Engineering (2020)
Paper | Slides

2. “Three-dimensional topology optimization of thermal-fluid-structural problems for cooling system design”
Minghao Yu, Shilun Ruan, Junfeng Gu, Mengke Ren, Zheng Li, Xinyu Wang & Changyu Shen – Dalian University of Technology
Structural and Multidisciplinary Optimization (2020)
Paper | Slides

3. “Topology optimization of two fluid heat exchangers”
Lukas Christian Høghøj, Daniel Ruberg Nørhave, Joe Alexandersen, Ole Sigmund, Casper Schousboe Andreasen – Technical University of Denmark
International Journal of Heat and Mass Transfer (2020)
Paper | Slides

4. “Body-fitted topology optimization of 2D and 3D fluid-to-fluid heat exchangers”
Florian Feppon, Grégoire Allaire, Charles Dapogny, Pierre Jolivet – École Polytechnique
Computer Methods in Applied Mechanics and Engineering (2021)
Paper | Slides

TOP Webinar 9
Jan. 26, 2021, Tuesday
YouTube

Host:
Wei Chen (Northwestern University)
Shelly Zhang (University of Illinois at Urbana Champaign)

1 – Ying Zhou, Queensland University of Technology, Australia
A new data-driven topology optimization framework for structural optimization.
Ying Zhou, Haifei Zhan, Weihong Zhang*, Jihong Zhu, Jinshuai Bai, Qingxia Wang, Yuantong Gu*. Computers & Structures (2020), 239, 106310.
Paper | Slides

2 – Yongmin Liu, Northeastern University, USA
Probabilistic Representation and Inverse Design of Metamaterials Based on a Deep Generative Model with Semi-Supervised Learning Strategy.
W Ma, Feng Cheng, Yihao Xu, Qinlong Wen, and Yongmin Liu*.Advanced Materials (2019), 31 (39), 1901111.
Paper | Slides

3 – Glaucio Paulino, Georgia Institute of Technology, USA
Universal machine learning for topology optimization.
Heng Chi, Yuyu Zhang, Tsz Ling Elaine Tang, Lucia Mirabella, Livio Dalloro, Le Song, Glaucio H. Paulino*. Computer Methods in Applied Mechanics and Engineering (2021), to appear.
Paper

4 – Stefano Zapperi, University of Milan, Italy
Automatic design of mechanical metamaterial actuators.
Bonfanti, Silvia, Roberto Guerra, Francesc Font Clos, Daniel Rayneau-Kirkhope, and Stefano Zapperi*. Nature Communications (2020), 11, 4162.
Paper | Slides

5 – Liwei Wang, Northwestern University, USA
Deep generative modeling for mechanistic-based learning and design of metamaterial systems.
Liwei Wang, Yu-Chin Chan, Faez Ahmed, Zhao Liu, Ping Zhu, Wei Chen*. Computer Methods in Applied Mechanics and Engineering(2020), 372, 113377.
Paper | Slides

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