Publications

For a full list, please check my publications on the SAO/NASA Astrophysics Data System. My name appears as “Chong-Chong He” or “C.-C. He” in publications.

Papers under review or in prep. Link to heading

  • 10 C.-C. He, A. Vijayan, M. R. krumholz, B. D. Wibking, “A novel algorithm for GPU-accelerated particle-mesh interactions implemented in the Quokka code”
Abstract: Click to expand We present a novel, GPU-optimized algorithm for particle-mesh interactions in grid-based hydrodynamics simulations, designed for massively parallel architectures. This approach overcomes the inefficiency of particle neighbour searches or sorts across multiple GPU nodes by using a new “particle-mesh-particle” interaction scheme, which extends the particle-mesh method for self-gravity. The algorithm proceeds in two main stages: first, quantities exchanged between particles and the mesh – such as mass, energy, and momentum added by stellar feedback or removed by accretion onto a sink – are deposited into a buffer mesh equipped with ghost zones, where multiple contributions per cell are accumulated using atomic additions and then communicated across distributed memory ranks. In the second stage, the buffer states are applied to real mesh states, incorporating cell-wise limiters to enforce physical constraints such as positive density. We implement this scheme in the GPU-native radiation-magnetohydrodynamics code Quokka, demonstrating its application to both supernova feedback and sink particle accretion. We demonstrate that the former scheme converges in the terminal radial momentum from multiple supernovae across varying spatial resolutions, while for the latter classical Bondi and Bondi-Hoyle accretion simulations show excellent agreement with analytic solutions. This scheme enables efficient, scalable particle-mesh coupling for GPU-optimized simulations.

First-author refereed publications Link to heading

Including first-authored by students I (co-)mentored.

  • 9 C.-C. He and M. Ricotti, “Formation of large circumstellar discs in multi-scale, ideal-mhd simulations of magnetically critical pre-stellar cores”, MNRAS 540, 175–189 (2025).
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  • 8 C.-C. He, B. D. Wibking, & M. R. Krumholz, 2024, “A novel numerical method for mixed-frame multigroup radiation-hydrodynamics with GPU acceleration implemented in the QUOKKA code”, MNRAS in press.
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  • 7 C.-C. He, B. D. Wibking, & M. R. Krumholz, 2024, “An asymptotically correct implicit-explicit time integration scheme for finite volume radiation-hydrodynamics”, MNRAS, 531, 1228 (2024).
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  • 6 C.-C. He and M. Ricotti, “Massive Prestellar Cores in Radiation-magneto-turbulent Simulations of Molecular Clouds”, MNRAS 522, 5374–5392 (2023).
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  • 5 R. Hix, C.-C. He, and M. Ricotti, “Bimodal Star Formation in Simulations of Strongly Magnetized Giant Molecular Clouds”, MNRAS 522, 6203–6216 (2023).
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  • 4 C.-C. He, “A Fast and Accurate Analytic Method of Calculating Galaxy Two-point Correlation Functions”, ApJ 921, 59, 59 (2021).
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  • 3 C.-C. He, M. Ricotti, and S. Geen, “Simulating star clusters across cosmic time - ii. escape fraction of ionizing photons from molecular clouds”, MNRAS 492, 4858–4873 (2020).
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  • 2 C.-C. He, M. Ricotti, and S. Geen, “Simulating star clusters across cosmic time - i. initial mass function, star formation rates, and efficiencies”, MNRAS 489, 1880–1898 (2019).
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  • 1 C.-C. He and L. Keek, “Anisotropy of X-Ray Bursts from Neutron Stars with Concave Accretion Disks”, ApJ 819, 47, 47 (2016).
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