Machine learning approaches for biomolecular, biophysical, and biomaterials research

Carolin A. Rickert, Oliver Lieleg

Open source

DOI: 10.1063/5.0082179
Published: 2022-06-01
Container: Biophysics Reviews
Publisher: AIP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0082179,
  title = {Machine learning approaches for biomolecular, biophysical, and biomaterials research},
  author = {Carolin A. Rickert and Oliver Lieleg},
  year = {2022},
  journal = {Biophysics Reviews},
  doi = {10.1063/5.0082179},
  url = {https://doi.org/10.1063/5.0082179}
}

RIS

TY  - JOUR
TI  - Machine learning approaches for biomolecular, biophysical, and biomaterials research
AU  - Carolin A. Rickert
AU  - Oliver Lieleg
PY  - 2022
JO  - Biophysics Reviews
DO  - 10.1063/5.0082179
UR  - https://doi.org/10.1063/5.0082179
ER  -

APA

Rickert, C. A., & Lieleg, O. (2022). Machine learning approaches for biomolecular, biophysical, and biomaterials research. Biophysics Reviews. https://doi.org/10.1063/5.0082179

Source records

crossref · retrieved 2026-09-24T22:15:22.666Z