The Mathematics and Mechanics of Biological Growth

By Alain Goriely. 2017

558 citations recorded by the source corpus.

Subfields: Atmospheric Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/fbc64ffaa558c908e23c829b67a168cab07b70d0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. G. Em Karniadakis
2. Paris Perdikaris
3. Ellen Kuhl
4. Jian-Xun Wang
5. Luning Sun
6. Xuhui Meng
7. Lu Lu
8. Sifan Wang

In Statistical and Nonlinear Physics

1. G. Em Karniadakis
2. Paris Perdikaris
3. Maizar Raissi
4. Ellen Kuhl
5. Suvranu De
6. Savador Dura-Bernal
7. William W. Lytton
8. Linda Petzold

Citations in the corpus

• Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences (2019, background): “Unlike classical engineering materials, living matter has amazing abilities to generate force, actively contract, rearrange its architecture, and grow or shrink in size [Goriely, 2017].”