MO-SS.1P.9
A Dataset for Machine Learning-based Electromagnetic Computation in 3D
Haoran Sun, Maokun Li, Shenheng Xu, Fan Yang, Tsinghua University, China
Session:
Artificial Intelligence and Bio-Inspired Computational Techniques in Electromagnetics I Oral
Track:
Special Sessions
Location:
Room 213
Session Time:
Mon, 14 Jul, 13:20 - 17:00
Presentation Time:
Mon, 14 Jul, 16:20 - 16:40
Session Chair:
Akhlesh Lakhtakia, Pennsylvania State University
Presentation
Discussion
Session MO-SS.1P
MO-SS.1P.1: Bio-Inspired Computational Methods and Artificial Intelligence: Paving the Way for a New Era in Applied Electromagnetics
Magdy Iskander, Jill Nakatsu, Zhengqing Yun, Yuanzhang Xiao, University of Hawaii at Manoa, United States
MO-SS.1P.2: Generative Deep Learning-Enabled Method for Interconnected Metasurface Antenna Designs
Yang Hong, Yanhe LYU, Zhi Ning Chen, National University of Singappre, Singapore
MO-SS.1P.3: Large Language Models for Forward and Inverse Design of Metamaterials
Darui Lu, Yang Deng, Duke University, United States; Jordan Malof, University of Missouri, United States; Willie Padilla, Duke University, United States
MO-SS.1P.4: Automated Design of Pixelated Metasurfaces using Bio-inspired Algorithm
Anand Kumar, Yugesh Chandrakapure, Alok Chandra Joshi, Indian Institute of Science, India; Akhlesh Lakhtakia, Pennsylvania State University, United States; Debdeep Sarkar, Indian Institute of Science, India
MO-SS.1P.5: Efficient Space-Time Coding Sequence Prediction for Digital Metasurfaces Using ANNs: A Simulated Dataset Approach
Eskedar Ayele, Oameed Noakoasteen, Christos Christodoulou, University of New Mexico, United States
MO-SS.1P.6: Dealing with the Computational Complexity in EM Problems: The System-by-Design Paradigm
Andrea Massa, Lorenzo Poli, Giorgio Gottardi, Pietro Rosatti, Marco Salucci, ELEDIA Research Center (ELEDIA@UniTN - University of Trento), Italy
MO-SS.1P.7: Machine Learning for Near Real Time Antenna Array Failure Recovery
Jacob Young, Sawyer Campbell, Douglas Henry, Pennsylvania State University, United States
MO-SS.1P.8: Prior Knowledge-Guided Deep Learning-Enabled Methods for Generative Design of Metacells
Yanhe Lyu, Yang Hong, Zhi Ning Chen, National University of Singappre, Singapore
MO-SS.1P.9: A Dataset for Machine Learning-based Electromagnetic Computation in 3D
Haoran Sun, Maokun Li, Shenheng Xu, Fan Yang, Tsinghua University, China
MO-SS.1P.10: Capacity-driven Optimization of Non-Uniform Arrays via Neural Network-assisted Parallel Tempering Algorithm
Yutong Jiang, Pengcheng Luo, Shuai S. A. Yuan, Xinyi Y. I. Xu, Chengnian Huang, Wei E. I. Sha, Zhejiang University, China
Resources
No resources available.