Physics-Informed Neural Network Prediction of Methane Hydrate Flash Crystallization and Dissociation in Microfluidic Confinement.
- DOI
- 10.1021/acs.energyfuels.6c01254
- Published
- 2026 Jul 16
- Container
- Energy & fuels : an American Chemical Society journal
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1021/acs.energyfuels.6c01254,
title = {Physics-Informed Neural Network Prediction of Methane Hydrate Flash Crystallization and Dissociation in Microfluidic Confinement.},
author = {Dale S and Behravesh E and Singh A and Li A and Koh CA and Hartman RL},
year = {2026},
journal = {Energy \& fuels : an American Chemical Society journal},
doi = {10.1021/acs.energyfuels.6c01254},
url = {https://doi.org/10.1021/acs.energyfuels.6c01254}
}RIS
TY - JOUR TI - Physics-Informed Neural Network Prediction of Methane Hydrate Flash Crystallization and Dissociation in Microfluidic Confinement. AU - Dale S AU - Behravesh E AU - Singh A AU - Li A AU - Koh CA AU - Hartman RL PY - 2026 JO - Energy & fuels : an American Chemical Society journal DO - 10.1021/acs.energyfuels.6c01254 UR - https://doi.org/10.1021/acs.energyfuels.6c01254 ER -
APA
S, D., E, B., A, S., A, L., CA, K., & RL, H. (2026). Physics-Informed Neural Network Prediction of Methane Hydrate Flash Crystallization and Dissociation in Microfluidic Confinement.. Energy & fuels : an American Chemical Society journal. https://doi.org/10.1021/acs.energyfuels.6c01254
Source records
- pubmed · retrieved 2026-09-27T13:12:31.300Z