Artikel dengan mandat akses publik - Parijat MukherjeePelajari lebih lanjut
Tidak tersedia di mana pun: 2
Machine Learning for Analog Layout
SM Burns, H Chen, T Dhar, R Harjani, J Hu, N Karmokar, K Kunal, Y Li, ...
Machine Learning Applications in Electronic Design Automation, 505-544, 2022
Mandat: US National Science Foundation, US Department of Defense
A Digital LDO in 22-nm CMOS With a 4-b Self-Triggered Binary Search Windowed Flash ADC Featuring Analog Layout Generator Framework
X Liu, S Yaldiz, P Mukherjee, S Burns, H Krishnamurthy, K Ravichandran, ...
IEEE Solid-State Circuits Letters 6, 101-104, 2023
Mandat: US Department of Defense
Tersedia di suatu tempat: 7
ALIGN: A system for automating analog layout
T Dhar, K Kunal, Y Li, M Madhusudan, J Poojary, AK Sharma, W Xu, ...
IEEE Design & Test 38 (2), 8-18, 2020
Mandat: US Department of Defense
Common-centroid layouts for analog circuits: Advantages and limitations
AK Sharma, M Madhusudan, SM Burns, P Mukherjee, S Yaldiz, R Harjani, ...
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021
Mandat: US Department of Defense
Performance-aware common-centroid placement and routing of transistor arrays in analog circuits
AK Sharma, M Madhusudan, SM Burns, S Yaldiz, P Mukherjee, R Harjani, ...
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
Mandat: US Department of Defense
The ALIGN open-source analog layout generator: V1. 0 and beyond
T Dhar, K Kunal, Y Li, Y Lin, M Madhusudan, J Poojary, AK Sharma, ...
Proceedings of the 39th International Conference on Computer-Aided Design, 1-2, 2020
Mandat: US Department of Defense
Using Presilicon Knowledge to Excite Nonlinear Failure Modes in Large Mixed-Signal Circuits
P Mukherjee, P Li
IEEE Design & Test 33 (5), 28-34, 2016
Mandat: US National Science Foundation
Machine Learning Techniques in Analog Layout Automation
T Dhar, K Kunal, Y Li, Y Lin, M Madhusudan, J Poojary, AK Sharma, ...
Proceedings of the 2021 International Symposium on Physical Design, 71-72, 2021
Mandat: US Department of Defense
Learning from Experience: Applying ML to Analog Circuit Design
K Kunal, T Dhar, Y Li, M Madhusudan, J Poojary, AK Sharma, W Xu, ...
Proceedings of the 2020 International Symposium on Physical Design, 55-55, 2020
Mandat: US Department of Defense
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