Publications
Please find below selected publications from EURAMET's European Metrology Research Programmes (EMRP and EMPIR) and the Metrology Partnership that are related to Clean Energy:
Effect of sampling volume on measurements of size and chemical homogeneity of MRI contrast agent FeraSpin™ R
Nanoscale Advances 8 (2026) , 3136-3150
- Type:
- Article
- Name of Call / Funding Programme:
- Metrology Partnership 2022: Health
- DOI
- 10.1039/d5na00463b
Cross-validation of analytical methods for citrate ligand quantification on upconversion and iron oxide nanoparticles
Analytical and Bioanalytical Chemistry (2026)
- Type:
- Article
- Name of Call / Funding Programme:
- Metrology Partnership 2022: Health
- DOI
- 10.1007/s00216-026-06402-8
SI-referenced HCOOH spectroscopy at the sub-ppt level
Molecular Physics (2026)
- Type:
- Article
- Name of Call / Funding Programme:
- Metrology Partnership 2023: Fundamental
- DOI
- 10.1080/00268976.2026.2625419
Optically Derived Radio-Frequency Benchmark in Methanol: A Sub-kHz Reference for Astrophysical Tests of Fundamental Physics
Optica (2026)
- Type:
- Article
- Name of Call / Funding Programme:
- Metrology Partnership 2023: Fundamental
- DOI
- 10.1364/OPTICA.593388
New candidate reference measurement procedure for NRAS p.Q61R quantification by digital PCR
Methods 254 (2026) , 192-201
- Type:
- Article
- Name of Call / Funding Programme:
- Metrology Partnership 2022: Health
- DOI
- 10.1016/j.ymeth.2026.07.005
Design and implementation of a transresistance amplifier for accurate current measurements in the microampere range
IEEE Transactions on Instrumentation and Measurement (2026) , 1-1
- Type:
- Article
- Name of Call / Funding Programme:
- Metrology Partnership 2023: Fundamental
- DOI
- 10.1109/TIM.2026.3711328
A Zeeman slower based on permanent magnets for optical atomic clocks
Measurement Science and Technology 37 (2026)
- Type:
- Article
- Name of Call / Funding Programme:
- Metrology Partnership 2023: Fundamental
- DOI
- 10.1088/1361-6501/ae7744
Measurement-corrected electromechanical simulation for metro energy consumption
(2026)
- Type:
- Proceedings
- Name of Call / Funding Programme:
- Metrology Partnership 2022: Normative
- DOI
- 10.5281/zenodo.20506285
Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches
Biomedical Signal Processing and Control 120 (2026) , 109831
- Type:
- Article
- Name of Call / Funding Programme:
- Metrology Partnership 2022: Health
- DOI
- 10.1016/j.bspc.2026.109831
A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
Machine Learning: Health 2 (2026) , 015011
- Type:
- Article
- Name of Call / Funding Programme:
- Metrology Partnership 2022: Health
- DOI
- 10.1088/3049-477X/ae4c8e