Dan J. L. Brett
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Pertamina, Google DeepMindas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-8545-3126
- OpenAlex ID
- A5038190948as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 15
4D nano-tomography of electrochemical energy devices using lab-based X-ray imaging,
A general method for boosting the supercapacitor performance of graphitic carbon nitride/graphene hybrids,
Battery state-of-charge estimation using machine learning analysis of ultrasonic signatures,
Comparative study of energy management systems for a hybrid fuel cell electric vehicle - A novel mutative fuzzy logic controller to prolong fuel cell lifetime,
Comparison of three‐dimensional analysis and stereological techniques for quantifying lithium‐ion battery electrode microstructures,
Fault diagnosis of PEMFC based on the AC voltage response and 1D convolutional neural network,
Investigating the Performance and Safety of Li-Ion Cylindrical Cells Using Acoustic Emission and Machine Learning Analysis,
Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning
+7 more
← Authored by 15
4D nano-tomography of electrochemical energy devices using lab-based X-ray imaging,
A general method for boosting the supercapacitor performance of graphitic carbon nitride/graphene hybrids,
Battery state-of-charge estimation using machine learning analysis of ultrasonic signatures,
Comparative study of energy management systems for a hybrid fuel cell electric vehicle - A novel mutative fuzzy logic controller to prolong fuel cell lifetime,
Comparison of three‐dimensional analysis and stereological techniques for quantifying lithium‐ion battery electrode microstructures,
Fault diagnosis of PEMFC based on the AC voltage response and 1D convolutional neural network,
Investigating the Performance and Safety of Li-Ion Cylindrical Cells Using Acoustic Emission and Machine Learning Analysis,
Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning
+7 more
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Summary
Dan J. L. Brett is a human[1].