Automated and High-Throughput Phase Separation Control for Supramolecular Polymer Blends Enabled by Machine Learning
- DOI
- 10.1021/jacsau.6c00041
- Published
- 2026-05-29
- Container
- JACS Au
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- 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.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1021/jacsau.6c00041,
title = {Automated and High-Throughput Phase Separation Control for Supramolecular Polymer Blends Enabled by Machine Learning},
author = {Yunfei Wang and Daniel Struble and Saroj Upreti and Zongliang Xie and Ka Hung Chan and Yi Liu and Chenhui Zhu and Paul Ashby and Wenjie Xia and Derek Patton and Boran Ma and Xiaodan Gu},
year = {2026},
journal = {JACS Au},
doi = {10.1021/jacsau.6c00041},
url = {https://doi.org/10.1021/jacsau.6c00041}
}RIS
TY - JOUR TI - Automated and High-Throughput Phase Separation Control for Supramolecular Polymer Blends Enabled by Machine Learning AU - Yunfei Wang AU - Daniel Struble AU - Saroj Upreti AU - Zongliang Xie AU - Ka Hung Chan AU - Yi Liu AU - Chenhui Zhu AU - Paul Ashby AU - Wenjie Xia AU - Derek Patton AU - Boran Ma AU - Xiaodan Gu PY - 2026 JO - JACS Au DO - 10.1021/jacsau.6c00041 UR - https://doi.org/10.1021/jacsau.6c00041 ER -
APA
Wang, Y., Struble, D., Upreti, S., Xie, Z., Chan, K. H., Liu, Y., Zhu, C., Ashby, P., Xia, W., Patton, D., Ma, B., & Gu, X. (2026). Automated and High-Throughput Phase Separation Control for Supramolecular Polymer Blends Enabled by Machine Learning. JACS Au. https://doi.org/10.1021/jacsau.6c00041
Source records
- crossref · retrieved 2026-11-10T12:35:12.324Z