Functional Output Regression for Machine Learning in Materials Science.

Iwayama M, Wu S, Liu C, Yoshida R.

Open source

DOI
10.1021/acs.jcim.2c00626
Published
2022-10-10
Container
J Chem Inf Model
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

Cite this work

BibTeX

@article{allodium:10.1021/acs.jcim.2c00626,
  title = {Functional Output Regression for Machine Learning in Materials Science.},
  author = {Iwayama M and  Wu S and  Liu C and  Yoshida R.},
  year = {2022},
  journal = {J Chem Inf Model},
  doi = {10.1021/acs.jcim.2c00626},
  url = {https://doi.org/10.1021/acs.jcim.2c00626}
}

RIS

TY  - JOUR
TI  - Functional Output Regression for Machine Learning in Materials Science.
AU  - Iwayama M
AU  -  Wu S
AU  -  Liu C
AU  -  Yoshida R.
PY  - 2022
JO  - J Chem Inf Model
DO  - 10.1021/acs.jcim.2c00626
UR  - https://doi.org/10.1021/acs.jcim.2c00626
ER  - 

APA

M, I., S, W., C, L., & R., Y. (2022). Functional Output Regression for Machine Learning in Materials Science.. J Chem Inf Model. https://doi.org/10.1021/acs.jcim.2c00626

Source records