human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "two computational models for simulating the tumbling motion of elongated particles in fluids"
  Abstract: Suspensions with fiber-like particles in the low Reynolds number regime are modeled by two different approaches that both use a Lagrangian representation of individual particles. The first method is the well-established formulation based on Stokes flow that is formulated as integral equations. It uses a slender body approximation for the fibers to represent the interaction between them directly without explicitly computing the flow field. The second is a new technique using the 3D lattice Boltzmann method on parallel supercomputers. Here the flow computation is coupled to a computational model of the dynamics of rigid bodies using fluid-structure interaction techniques. Both methods can be applied to simulate fibers in fluid flow. They are carefully validated and compared against each other, exposing systematically their strengths and weaknesses regarding their accuracy, the computational cost, and possible model extensions.

Connected through hyperedge HE-1 (induced by source paper "a scalable and extensible checkpointing scheme for massively parallel simulations"):
  with members:
    - "a coupled lattice boltzmann method and discrete element method for discrete particle simulations of particulate flows"
    - "massively parallel algorithms for the lattice boltzmann method on nonuniform grids"
    - "a python extension for the massively parallel multiphysics simulation framework walberla"
    - "ultrascale simulations of non smooth granular dynamics"
    - "parallel multiphysics simulations of charged particles in microfluidic flows"
    - "a survey of fault tolerance and fault recovery techniques in parallel systems"

Connected through hyperedge HE-2 (induced by source paper "coupled multiphysics simulations of charged particle electrophoresis for massively parallel supercomputers"):
  with members:
    - "a comparative study of fluid particle coupling methods for fully resolved lattice boltzmann simulations"
    - "massively parallel algorithms for the lattice boltzmann method on nonuniform grids"
    - "ultrascale simulations of non smooth granular dynamics"

Connected through hyperedge HE-3 (induced by source paper "a comparative study of fluid particle coupling methods for fully resolved lattice boltzmann simulations"):
  with members:
    - "parallel multiphysics simulations of charged particles in microfluidic flows"
    - "all good things come in threes three beads learn to swim with lattice boltzmann and a rigid body solver"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CE(Computational Engineering, Finance, and Science)