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Adam Carpenter
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2020 – today
- 2025
 [j3]Kishansingh Rajput [j3]Kishansingh Rajput , Malachi Schram , Malachi Schram , Auralee Edelen, Jonathan Colen , Auralee Edelen, Jonathan Colen , Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch: , Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch:
 Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators. Mach. Learn. Sci. Technol. 6(2): 25018 (2025)
 [i6]Antonin Sulc, Thorsten Hellert, Aaron Reed, Adam Carpenter, Alex Bien, Chris Tennant, Claudio Bisegni, Daniel Lersch, Daniel Ratner, David Lawrence, Diana McSpadden, Hayden Hoschouer, Jason St. John, Thomas Britton: [i6]Antonin Sulc, Thorsten Hellert, Aaron Reed, Adam Carpenter, Alex Bien, Chris Tennant, Claudio Bisegni, Daniel Lersch, Daniel Ratner, David Lawrence, Diana McSpadden, Hayden Hoschouer, Jason St. John, Thomas Britton:
 eLog analysis for accelerators: status and future outlook. CoRR abs/2506.12949 (2025)
- 2024
 [j2]Md Monibor Rahman [j2]Md Monibor Rahman , Adam Carpenter , Adam Carpenter , Khan M. Iftekharuddin , Khan M. Iftekharuddin , Chris Tennant , Chris Tennant : :
 Accelerating cavity fault prediction using deep learning at Jefferson Laboratory. Mach. Learn. Sci. Technol. 5(3): 35078 (2024)
 [i5]Zhiyuan Chen, Wei Lu, Radhika Bhong, Yimin Hu, Brian Freeman, Adam Carpenter: [i5]Zhiyuan Chen, Wei Lu, Radhika Bhong, Yimin Hu, Brian Freeman, Adam Carpenter:
 Anomaly Detection of Particle Orbit in Accelerator using LSTM Deep Learning Technology. CoRR abs/2401.15543 (2024)
 [i4]Md Monibor Rahman, Adam Carpenter, Khan Iftekharuddin, Chris Tennant: [i4]Md Monibor Rahman, Adam Carpenter, Khan Iftekharuddin, Chris Tennant:
 Accelerating Cavity Fault Prediction Using Deep Learning at Jefferson Laboratory. CoRR abs/2404.15829 (2024)
 [i3]Kishansingh Rajput, Malachi Schram [i3]Kishansingh Rajput, Malachi Schram , Auralee Edelen, Jonathan Colen , Auralee Edelen, Jonathan Colen , Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch: , Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch:
 Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle Accelerators. CoRR abs/2411.04817 (2024)
 [i2]Steven Goldenberg, Kawser Ahammed, Adam Carpenter, Jiang Li, Riad Suleiman, Chris Tennant: [i2]Steven Goldenberg, Kawser Ahammed, Adam Carpenter, Jiang Li, Riad Suleiman, Chris Tennant:
 Data-Driven Gradient Optimization for Field Emission Management in a Superconducting Radio-Frequency Linac. CoRR abs/2411.07018 (2024)
- 2023
 [c1]Md Monibor Rahman, Lasitha Vidyaratne, Adam Carpenter, Chris Tennant, Khan M. Iftekharuddin: [c1]Md Monibor Rahman, Lasitha Vidyaratne, Adam Carpenter, Chris Tennant, Khan M. Iftekharuddin:
 Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals. IJCNN 2023: 1-7
- 2021
 [j1]Lasitha Vidyaratne, Adam Carpenter [j1]Lasitha Vidyaratne, Adam Carpenter , Tom Powers, Chris Tennant, Khan M. Iftekharuddin, Md Monibor Rahman, Anna Shabalina Solopova: , Tom Powers, Chris Tennant, Khan M. Iftekharuddin, Md Monibor Rahman, Anna Shabalina Solopova:
 Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory. Frontiers Artif. Intell. 4: 718950 (2021)
- 2020
 [i1]Chris Tennant, Adam Carpenter, Tom Powers, Anna Shabalina Solopova, Lasitha Vidyaratne, Khan Iftekharuddin: [i1]Chris Tennant, Adam Carpenter, Tom Powers, Anna Shabalina Solopova, Lasitha Vidyaratne, Khan Iftekharuddin:
 Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory. CoRR abs/2006.06562 (2020)
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last updated on 2025-10-28 23:38 CET by the dblp team
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