Energy Landscapes: With Applications to Clusters, Biomolecules and Glasses
By J. Jellinek. 2005
492 citations recorded by the source corpus.
Subfields: Materials Chemistry, Physical and Theoretical Chemistry, Statistical and Nonlinear Physics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Materials Chemistry
- Song-Chun Zhu
- Stephen R. Williams
- Katsushi Ikeuchi
- Joey C. Yu
- Bo Zheng
- A. Bray
- D. S. Dean
- Lucy J. Colwell
In Physical and Theoretical Chemistry
- Song-Chun Zhu
- Stephen R. Williams
- Katsushi Ikeuchi
- Joey C. Yu
- Bo Zheng
- A. Bray
- D. S. Dean
- Lucy J. Colwell
In Statistical and Nonlinear Physics
- Renaud Lambiotte
- Mauricio Barahona
- Jean-Charles Delvenne
- Song-Chun Zhu
- Stephen R. Williams
- Katsushi Ikeuchi
- Joey C. Yu
- Bo Zheng
Citations in the corpus
- Predicting protein–ligand affinity with a random matrix framework (2016, background): “Investigating the topology of the energy landscape and those paths that connect distinct basins (39), as well as the statistics of energy minima, could reveal properties of the binding site.”
- Optimal Design of Experiments by Combining Coarse and Fine Measurements. (2017, background): “Complex energy landscapes : The geometric property that the depth of an energy minima is related to its hypervolume is not universal to all energy landscapes [39, 40].”
- Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics (2013, methodology): “Therefore, we represent the energy landscape by a so-called disconnectivity graph (DG) which has been used in studying the spinglass models in physics [20].”
- Scene Understanding by Reasoning Stability and Safety (2015, methodology): “Therefore, we represent the energy landscape by a so-called disconnectivity graph (DG) which has been used in studying spin-glass models in physics (Wales 2004).”
- The role of local structure in dynamical arrest (2014, background): “Wales and coworkers have developed powerful numerical techniques to enable the energy landscape of systems with a few hundred particles to be explicitly calculated [543].”
- The statistics of critical points of Gaussian fields on large-dimensional spaces (2008, background): “Gaussian fields arise generically in the study of classical complex systems such as spin glasses, optimization problems and protein folding [3].”
- Random Walks, Markov Processes and the Multiscale Modular Organization of Complex Networks (2008, background): “of quasi-stationary distributions in Markov chains [23], [24], and the theory of quasi-stable (long-lived) states in the physics of energy landscapes [25].”