RPS assisted RF plasma source for semiconductor processing X Chen, S Garg, JG Yang US Patent 9,502,218, 2016 | 378 | 2016 |
Semiconductor processing with DC assisted RF power for improved control JG Yang, X Chen, S Park, J Baek, S Garg, S Venkataraman US Patent 9,373,517, 2016 | 209 | 2016 |
Chemical control features in wafer process equipment Q Liang, X Chen, K Chuc, D Lubomirsky, S Park, JG Yang, ... US Patent 9,132,436, 2015 | 207 | 2015 |
Dry-etch selectivity H Ren, JG Yang, J Baek, A Wang, S Park, S Garg, X Chen, NK Ingle US Patent 8,969,212, 2015 | 195 | 2015 |
Semiconductor processing with DC assisted RF power for improved control JG Yang, X Chen, S Park, J Baek, S Garg, S Venkataraman US Patent 10,032,606, 2018 | 126 | 2018 |
Particle swarm optimization of a neural network model in a machining process S Garg, K Patra, SK Pal Sadhana 39, 533-548, 2014 | 36 | 2014 |
The electric vehicle battery landscape: opportunities and challenges J Amirault, J Chien, S Garg, D Gibbons, B Ross, M Tang, J Xing, I Sidhu, ... Center for Entrepreneurship & Technology (CET) University of California at …, 2009 | 29 | 2009 |
Evaluation of the performance of backpropagation and radial basis function neural networks in predicting the drill flank wear S Garg, SK Pal, D Chakraborty Neural Computing and Applications 16, 407-417, 2007 | 28 | 2007 |
Genetically evolved radial basis function network based prediction of drill flank wear S Garg, K Patra, V Khetrapal, SK Pal, D Chakraborty Engineering Applications of Artificial Intelligence 23 (7), 1112-1120, 2010 | 21 | 2010 |
Effect of different basis functions on a radial basis function network in prediction of drill flank wear from motor current signals S Garg, K Patra, SK Pal, D Chakraborty Soft Computing 12, 777-787, 2008 | 21 | 2008 |
An indigenous application for estimating carbon footprint of academia library based on life cycle assessment S Garg, D Dornfeld University of California, Berkeley: Laboratory for manufacturing and …, 2008 | 10 | 2008 |
Formulation of the chip cleanability mechanics from fluid transport S Garg, D Dornfeld, K Berger Burrs-Analysis, Control and Removal: Proceedings of the CIRP International …, 2010 | 9 | 2010 |
Ceramic ring test device S Kobayashi, Y Zhu, S Garg, S Park, D Lubomirsky US Patent 9,846,130, 2017 | 6 | 2017 |
An Indigenous Application for Estimating Carbon footprint of academia library systems based on life cycle assessment S Garg, D Dornfeld | 5 | 2008 |
Investigation of Internal Cleaning Effects in Two-Phase Gas-Liquid Flows S Garg, D Dornfeld, K Berger | 1 | 2009 |
2D accessibility analysis for waterjet cleaning W Li, S Garg, S McMains Computer-Aided Design and Applications 6 (2), 231-241, 2009 | 1 | 2009 |
Chemical control features in wafer process equipment Q Liang, X Chen, K Chuc, D Lubomirsky, S Park, JG Yang, ... US Patent 11,264,213, 2022 | | 2022 |
Indirect procurement: Insource? Outsource? Or both? C Ghatge, P Ibanez, S Spiller, Peter, Khushalani, H Texeira, S Garg, ... https://www.mckinsey.com/business-functions/operations/our-insights/indirect …, 2020 | | 2020 |
Ceramic ring test device S Kobayashi, Y Zhu, S Garg, S Park, D Lubomirsky US Patent 10,551,328, 2020 | | 2020 |
Digital MRO procurement: New solutions for capturing and sustaining more value P Riesdstra, S Buckley, M Mussacaleca, E Smith, S Garg, P Lounsbury, ... https://www.mckinsey.com/business-functions/operations/our-insights/digital …, 2019 | | 2019 |