GNRK: Graph Neural Runge-Kutta method for solving partial differential equations

1 code implementation • 1 Oct 2023 • Hoyun Choi, Sungyeop Lee, B. Kahng, Junghyo Jo

Neural networks have proven to be efficient surrogate models for tackling partial differential equations (PDEs).

Critical phenomena of a hybrid phase transition in cluster merging dynamics

no code implementations • 28 Jun 2017 • K. Choi, Deokjae Lee, Y. S. Cho, J. C. Thiele, H. J. Herrmann, B. Kahng

In spite of considerable effort to develop the theory of HPT, it is still incomplete, particularly when the transition is induced by cluster merging dynamics.

Statistical Mechanics