no code implementations • 18 Jan 2023 • Daniel W. Swartz, Hyunseok Lee, Mehran Kardar, Kirill S. Korolev
In growing populations, the fate of mutations depends on their competitive ability against the ancestor and their ability to colonize new territory.
no code implementations • 21 Oct 2021 • Ashish B. George, Kirill S. Korolev
Assembling optimal microbial communities is key for various applications in biofuel production, agriculture, and human health.
1 code implementation • 9 Aug 2021 • Hyunseok Lee, Jeff Gore, Kirill S. Korolev
In particular, the theory predicted that a slower, but more competitive, mutant forms a dented V-shaped sector as it takes over the expansion front.
1 code implementation • 17 Apr 2020 • Keisuke Ishihara, Ashish B. George, Ryan Cornelius, Kirill S. Korolev
For the two-state model, we obtain a closed-form expression for the velocity and report how it is affected by different transport and replication parameters.
Statistical Mechanics Pattern Formation and Solitons Populations and Evolution Subcellular Processes
no code implementations • 7 Jun 2018 • Ching-Hao Wang, Sakib Matin, Ashish B. George, Kirill S. Korolev
In homogeneous environments, the alternative states are separated by a smooth front moving at a constant velocity.
Statistical Mechanics Cellular Automata and Lattice Gases Pattern Formation and Solitons Populations and Evolution
