P2MAT: A machine learning (ML) driven software for Property Prediction of MATerial

Methun Kamruzzaman, Alexander Landera, Nalini Menon, Mark D. Allendorf, Kunal Poorey

Open source

DOI
10.1186/s13321-026-01247-w
Published
2026-07-03
Container
Journal of Cheminformatics
Publisher
Springer Science and Business Media LLC
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

Cite this work

BibTeX

@article{allodium:10.1186/s13321-026-01247-w,
  title = {P2MAT: A machine learning (ML) driven software for Property Prediction of MATerial},
  author = {Methun Kamruzzaman and Alexander Landera and Nalini Menon and Mark D. Allendorf and Kunal Poorey},
  year = {2026},
  journal = {Journal of Cheminformatics},
  doi = {10.1186/s13321-026-01247-w},
  url = {https://doi.org/10.1186/s13321-026-01247-w}
}

RIS

TY  - JOUR
TI  - P2MAT: A machine learning (ML) driven software for Property Prediction of MATerial
AU  - Methun Kamruzzaman
AU  - Alexander Landera
AU  - Nalini Menon
AU  - Mark D. Allendorf
AU  - Kunal Poorey
PY  - 2026
JO  - Journal of Cheminformatics
DO  - 10.1186/s13321-026-01247-w
UR  - https://doi.org/10.1186/s13321-026-01247-w
ER  - 

APA

Kamruzzaman, M., Landera, A., Menon, N., Allendorf, M. D., & Poorey, K. (2026). P2MAT: A machine learning (ML) driven software for Property Prediction of MATerial. Journal of Cheminformatics. https://doi.org/10.1186/s13321-026-01247-w

Source records