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A conservative phase field method for solving incompressible two-phase flows., and . J. Comput. Phys., 230 (1): 185-204 (2011)An effective explicit pressure gradient scheme implemented in the two-level non-staggered grids for incompressible Navier-Stokes equations., , and . J. Comput. Phys., 227 (8): 4018-4037 (2008)Viscous and inviscid regularizations in a class of evolutionary partial differential equations., , , and . J. Comput. Phys., 229 (19): 6676-6687 (2010)Development of a dispersively accurate conservative level set scheme for capturing interface in two-phase flows., , and . J. Comput. Phys., 228 (3): 661-686 (2009)JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results., , , , , and . CoRR, (2022)Generalizable Neural Physics Solvers by Baldwinian Evolution., , , , , , and . CoRR, (2023)Milkcrown simulation using OpenACC accelerated framework., , and . SIGGRAPH ASIA Posters, page 45. ACM, (2014)Physics Compliance as a Metric for Neural Network Uncertainty., , , , , , and . SSCI, page 1-7. IEEE, (2022)A dispersion-relation-preserving algorithm for a nonlinear shallow-water wave equation., , and . J. Comput. Phys., 228 (21): 8034-8052 (2009)A coupled phase field framework for solving incompressible two-phase flows.. J. Comput. Phys., (2019)