Adam Carpenter

According to our database, Adam Carpenter authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

eLog analysis for accelerators: status and future outlook.

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

CoRR, June, 2025

Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators.

Kishansingh Rajput, Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch

Mach. Learn. Sci. Technol., 2025

2024

Accelerating cavity fault prediction using deep learning at Jefferson Laboratory.

Md Monibor Rahman, Adam Carpenter, Khan M. Iftekharuddin, Chris Tennant

Mach. Learn. Sci. Technol., 2024

Data-Driven Gradient Optimization for Field Emission Management in a Superconducting Radio-Frequency Linac.

Steven Goldenberg, Kawser Ahammed, Adam Carpenter, Jiang Li, Riad Suleiman, Chris Tennant

CoRR, 2024

Anomaly Detection of Particle Orbit in Accelerator using LSTM Deep Learning Technology.

Zhiyuan Chen, Wei Lu, Radhika Bhong, Yimin Hu, Brian Freeman, Adam Carpenter

CoRR, 2024

2023

Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals.

Md Monibor Rahman, Lasitha Vidyaratne, Adam Carpenter, Chris Tennant, Khan M. Iftekharuddin

Proceedings of the International Joint Conference on Neural Networks, 2023

2021

Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory.

Lasitha Vidyaratne, Adam Carpenter, Tom Powers, Chris Tennant, Khan M. Iftekharuddin, Md Monibor Rahman, Anna Shabalina Solopova

Frontiers Artif. Intell., 2021

2020

Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory.

Chris Tennant, Adam Carpenter, Tom Powers, Anna Shabalina Solopova, Lasitha Vidyaratne, Khan Iftekharuddin

CoRR, 2020