# Multiscale modeling meets machine learning: What can we learn?

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multiscale-modeling-meets-machine-learning-what-can-we-learn/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Grace C. Y. Peng,Mark Alber,Adrián Buganza Tepole,William R. Cannon,Suvranu De,Dura-Bernal, Salvador,Krishna Garikipati,George Em Karniadakis,William W. Lytton,Paris Perdikaris,Linda Petzold,Ellen Kuhl |
| Citations | 356 |
| DOI | 10.1007/s11831-020-09405-5 |
| Fields | Biochemistry, Genetics and Molecular Biology,Physics and Astronomy |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3008834654 |
| Type | review |
| Year | 2020 |

## Paper authors

- [Suvranu De](https://scholariq.org/researchers/suvranu-de/)

## Paper primary topic

- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)

## Paper topics

- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)
- [Advanced Electron Microscopy Techniques and Applications](https://scholariq.org/topics/advanced-electron-microscopy-techniques-and-applications/)
- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.