human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "a scalable parallel finite element framework for growing geometries application to metal additive manufacturing"):
  Abstract: This work introduces an innovative parallel, fully-distributed finite element framework for growing geometries and its application to metal additive manufacturing. It is well-known that virtual part design and qualification in additive manufacturing requires highly-accurate multiscale and multiphysics analyses. Only high performance computing tools are able to handle such complexity in time frames compatible with time-to-market. However, efficiency, without loss of accuracy, has rarely been the focus in the numerical community. Here, in contrast, the framework is designed to adequately exploit the resources of high-end distributed-memory machines. It is grounded on three building blocks: (1) Hierarchical adaptive mesh refinement with octree-based meshes; (2) a parallel strategy to model the geometry growth; (3) the customization of a parallel iterative linear solver, which leverages the so-called balancing domain decomposition by constraints preconditioning approach for fast convergence and high parallel scalability. Computational experiments consider the part-scale thermal analysis of the printing process by powder-bed technologies. After verification against a 3D benchmark, a strong scaling analysis is carried out for a simulation of 48 layers printed in a cuboid. The cuboid is adaptively meshed to model a layer-by-layer metal deposition process and the average global problem size amounts to 10.3 million unknowns. An unprecedented scalability for problems with growing domains is achieved, with the capability of simulating the printing and recoat of a single layer in 8 seconds average on 3,072 processors. Hence, this framework contributes to take on higher complexity and/or accuracy, not only of part-scale simulations of metal or polymer additive manufacturing, but also in welding, sedimentation, atherosclerosis, or any other physical problem with growing-in-time geometries.

Includes members:
  Member "a generic finite element framework on parallel tree based adaptive meshes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a tutorial driven introduction to the parallel finite element library fempar v1 0 0")
  Member "numerical modelling of heat transfer and experimental validation in powder bed fusion with the virtual domain approximation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a tutorial driven introduction to the parallel finite element library fempar v1 0 0")
  Member "the aggregated unfitted finite element method for elliptic problems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "accurate iteration free mixed stabilised formulation for laminar incompressible navier stokes applications to fluid structure interaction")
  Member "fempar an object oriented parallel finite element framework":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a generic finite element framework on parallel tree based adaptive meshes")
  Member "space time balancing domain decomposition":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "fempar an object oriented parallel finite element framework")
  Member "morton curve segments produce no more than two distinct face connected subdomains":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the peano software parallel automaton based dynamically adaptive grid traversals")
  Member "recursive algorithms for distributed forests of octrees":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an optimized parallel computation of the ghost layer for adaptive hybrid forest meshes")
  Member "locality and bounding box quality of two dimensional space filling curves":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "how many three dimensional hilbert curves are there")

Question: Please tell me which class the source paper 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)