Control-Logic Synthesis of Fully Programmable Valve Array Using Reinforcement Learning

Author:

Huang Xing1ORCID,Cai Huayang2,Guo Wenzhong2ORCID,Liu Genggeng2ORCID,Ho Tsung-Yi3,Chakrabarty Krishnendu4ORCID,Schlichtmann Ulf5ORCID

Affiliation:

1. School of Computer Science, Northwestern Polytechnical University, Xi’an, China

2. College of Computer and Data Science, Fuzhou University, Fuzhou, China

3. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China

4. School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA

5. Chair of Electronic Design Automation, Technical University of Munich, Munich, Germany

Funder

National Natural Science Fund of China for Excellent Young Scientists Fund Program

National Natural Science Foundation of China

Fujian Natural Science Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Physical design for microfluidic biochips considering actual volume management and channel storage;Integration;2024-09

2. Error Recovery Method Based on Deep Reinforcement Learning for Fully Programmable Valve Array Biochips;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

3. Washing Optimization Method Based on Deep Reinforcement Learning for Fully Programmable Valve Array Biochips;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

4. High-Level Synthesis for Microfluidic Biochips Considering Actual Volume Management and Channel Storage;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03

5. Towards Automated Testing of Multiplexers in Fully Programmable Valve Array Biochips;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22

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