Nonlinear dimensionality reduction in molecular simulation: The diffusion map approach

By Andrew L. Ferguson, Athanassios Z. Panagiotopoulos, Ioannis G. Kevrekidis, Pablo G. Debenedetti. 2011

161 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/3239a60dd4b30136f7eb1750d01ff83012885f8f

How researchers see this paper

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

In Atomic and Molecular Physics, and Optics

1. Frank No'e
2. Hao Wu
3. Feliks Nuske
4. Stefan Klus
5. Christof Schutte
6. Péter Koltai
7. Ioannis G. Kevrekidis
8. Igor Mezi'c

In Molecular Biology

1. Frank No'e
2. Hao Wu
3. Christof Schutte
4. Stefan Klus
5. Péter Koltai
6. Feliks Nuske
7. Ioannis G. Kevrekidis
8. Cecilia Clementi

Citations in the corpus

• Data-Driven Model Reduction and Transfer Operator Approximation (2017, methodology): “An alternative approach to data-driven model reduction – also related to transfer operators and their generators – would be to use diffusion maps [16, 17, 18, 19].”