Data-driven, ML-assisted approaches to problem well-posedness.

Bertalan T, Kevrekidis GA, Koronaki ED, Mishra S, Rebrova E, Kevrekidis IG

DOI: 10.1093/pnasnexus/pgag175
Published: 2026 Jun
Container: PNAS nexus
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/pnasnexus/pgag175,
  title = {Data-driven, ML-assisted approaches to problem well-posedness.},
  author = {Bertalan T and Kevrekidis GA and Koronaki ED and Mishra S and Rebrova E and Kevrekidis IG},
  year = {2026},
  journal = {PNAS nexus},
  doi = {10.1093/pnasnexus/pgag175},
  url = {https://doi.org/10.1093/pnasnexus/pgag175}
}

RIS

TY  - JOUR
TI  - Data-driven, ML-assisted approaches to problem well-posedness.
AU  - Bertalan T
AU  - Kevrekidis GA
AU  - Koronaki ED
AU  - Mishra S
AU  - Rebrova E
AU  - Kevrekidis IG
PY  - 2026
JO  - PNAS nexus
DO  - 10.1093/pnasnexus/pgag175
UR  - https://doi.org/10.1093/pnasnexus/pgag175
ER  -

APA

T, B., GA, K., ED, K., S, M., E, R., & IG, K. (2026). Data-driven, ML-assisted approaches to problem well-posedness.. PNAS nexus. https://doi.org/10.1093/pnasnexus/pgag175

Source records

pubmed · retrieved 2026-09-25T18:48:23.457Z