lindemann is a python package to calculate the Lindemann index of a lammps trajectory

Unsupervised learning for discovering phase transition for various spin models.

Which dynamical regime is beneficial for biological systems in the context of the criticality hypothesis? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability of agents with respect to their dynamical regime. Paper: https://arxiv.org/abs/2103.12184

Rapid detection of phase transitions from Monte Carlo samples before equilibrium

Binary 2D alloy phase transition simulation with Monte Carlo method and Ising model

Another phase transition in the Axelrod model

Probabilistic PCA for missing data: learning curves shows a phase transition and missing rate acts as an effective reduction in the signal-to-noise ratio, not the sample size.

Paper: https://doi.org/10.1162/isal_a_00412 Which dynamical regime is beneficial for biological systems? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability.

Various studies show that criticality is an attractor in biological evolution. Which conditions have to be fulfilled, such that criticality acts as an attractor in our neuroevolution simulation? -- Masters Thesis Project ---

Hopfield model for T=0 and finite T.

争当少数者博弈模型的一个精炼实现

Physics Masters Project modelling the phase behaviour of DNA nanoparticles using LAMMPS

热力学与统计力学II课程课题

Neural density functional theory of liquid-gas phase coexistence