We present a deep learning method for fast predictions of the stress fields generated in cantilevered structures subject to external forces.
Zhenguo Nie; Haoliang Jiang; and Levent Burak Kara
We present a deep reinforcement learning method for solving the global routing problem.
Haiguang Liao; Wentai Zhang ; Xuliang Dong; Barnabas Poczos; Kenji Shimada; and Levent Burak Kara
We develop a design for 3D AM algorithm that minimizes the overall cost of parts production through structural and process parameter optimization.
Erva Ulu; Runze Huang; Levent Burak Kara; and Kate S. Whitefoot
We present a data-driven 3D shape design method that can learn a generative model from a corpus of existing designs, and use this model to produce a wide range of new designs.
Wentai Zhang; Zhangsihao Yang; Haoliang Jiang; Suyash Nigam; Soji Yamakawa; Tomotake Furuhata; Kenji Shimada; and Levent Burak Kara
We present a data-driven point cloud upsamling algorithm using a deep learning architecture.
Wentai Zhang; Haoliang Jiang; Zhangsihao Yang; Soji Yamakawa; Kenji Shimada; and Levent Burak Kara
We present and compare a set of machine learning methods for predicting nitrogen concentration in proton exchange membrane fuel cells (PEMFCs).
Tong Lin; Leiming Hu; Shawn Litster; and Levent Burak Kara
We develop a new toplogy optimization method particularly useful in the presence of moving loads.
Erva Ulu; James McCann; and Levent Burak Kara
We present a fast computational algorithm for predicting soft tissue deformations using a set of fiducial markers.
Ye Han; Emily Oakley; Gal Shafirstein; Yoed Rabin; and Levent Burak Kara
We introduce a method for designing coupling behaviors between an arbitrary compliant structure and an arbitrary rigid object. Resulting structures exhibit the desired coupling behavior such as ease of engagement-disengagement and grip.
Nurcan Gecer Uu; Stelian Coros; and Levent Burak Kara