Willem Blokland

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Research activity per year

Education/Academic qualification

Eng-Electrical, Doctorate Degree

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Dive into the research topics where Willem Blokland is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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40 Conference contribution
24 Paper
16 Article
4 Conference article
More
- 2 Technical Report
- 1 Review article

Platform for Automated Anomaly Detection in the Mercury Process System at the Target System in the Spallation Neutron Source
Raj, A., Winder, D., Maldonado, B. P., Morris, A., Danilova, K., Horn, B., Zhukov, A. P., Zhao, X., Blokland, W. & Ramuhalli, P., 2026, In: Data Science in Science. 5, 1, 2608400.
Research output: Contribution to journal › Article › peer-review

Open Access
Simulation and measurement of the dynamic strain response in a prototypical spallation target
Tipton, J. B., Mach, J., Blokland, W., Liu, Y., Ghoos, K., de Wet, W., Kyte, M., Gunthoti, K. & Wender, S., Mar 2026, In: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 1083, 171086.
Research output: Contribution to journal › Article › peer-review
Automating Anomaly Detection for Target Systems at Spallation Neutron Source
Raj, A., Zhao, X., Winder, D., Maldonado, B., Morris, A., Blokland, W. & Ramuhalli, P., 2025, Proceedings of Nuclear Plant Instrumentation and Control and Human-Machine Interface Technology, NPIC and HMIT 2025. American Nuclear Society, p. 286-295 10 p. (Proceedings of Nuclear Plant Instrumentation and Control and Human-Machine Interface Technology, NPIC and HMIT 2025).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Outlook towards deployable continual learning for particle accelerators
Rajput, K., Lin, S., Edelen, A., Blokland, W. & Schram, M., Sep 30 2025, In: Machine Learning: Science and Technology. 6, 3, 031001.
Research output: Contribution to journal › Review article › peer-review

Open Access
2 Scopus citations
A machine learning approach for particle accelerator errant beam prediction using spatial phase deviation
Yucesan, Y. A., Blokland, W., Ramuhalli, P., Zhukov, A., Peters, C., Brown, D. & Long, C., Jun 2024, In: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 1063, 169232.
Research output: Contribution to journal › Article › peer-review

Open Access
6 Scopus citations

Process and control variables from the mercury loop at the SNS's mercury target
Maldonado Puente, B. (Creator), Winder, D. (Creator), Ramuhalli, P. (Creator) & Blokland, W. (Creator), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), Oct 16 2024
DOI: 10.13139/OLCF/2441154
Dataset
Process and control variables from the SNS's cryogenic moderator system
Maldonado Puente, B. (Creator), Winder, D. (Creator), Ramuhalli, P. (Creator) & Blokland, W. (Creator), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), Oct 16 2024
DOI: 10.13139/OLCF/2441156
Dataset

Willem Blokland

Overview

Education/Academic qualification

Fingerprint

Publications

Platform for Automated Anomaly Detection in the Mercury Process System at the Target System in the Spallation Neutron Source

Simulation and measurement of the dynamic strain response in a prototypical spallation target

Automating Anomaly Detection for Target Systems at Spallation Neutron Source

Outlook towards deployable continual learning for particle accelerators

A machine learning approach for particle accelerator errant beam prediction using spatial phase deviation

Datasets

Process and control variables from the mercury loop at the SNS's mercury target

Process and control variables from the SNS's cryogenic moderator system