The energy landscape as a unifying theme in molecular science

By David J. Wales. 2005

167 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Molecular Biology, Computational Chemistry & Drug Discovery

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. Song-Chun Zhu
2. Erik Nijkamp
3. Mitch Hill

In Molecular Biology

1. Erik Nijkamp
2. Mitch Hill
3. Song-Chun Zhu
4. Ying Nian Wu
5. Tian Han
6. Yilun Du
7. Igor Mordatch
8. Jianwen Xie

In Computational Chemistry & Drug Discovery

1. Song-Chun Zhu
2. Erik Nijkamp
3. Mitch Hill

Citations in the corpus

• On the Anatomy of MCMC-based Maximum Likelihood Learning of Energy-Based Models (2019, background): “Techniques for mapping and visualizing the energy landscape of non-convex functions first appear in the physical chemistry literature [2, 33].”