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diffhydro: Inverse Multiphysics Modeling and Embedded Machine Learning in Astrophysical Flows

  • Authors: Benjamin Horowitz, Zarija Lukić, Kentaro Nagamine, Yuri Oku

Benjamin Horowitz et al 2026 The Astrophysical Journal 1012 .

  • Provider: AAS Journals

Caption: Figure 5.

Volume rendering of forward model of supernova remnant (SNR). Three-dimensional rendering of the same radiatively cooling SNR shown in Figure 6, colored by internal energy. The remnant forms a roughly spherical hot bubble whose surface is strongly corrugated by expansion into a turbulent, inhomogeneous ambient medium. Bright filaments and knots trace dense, rapidly cooling material in the swept-up shell and in mixed cloud fragments, while the diffuse interior shows a web of turbulent structures generated by shock–cloud interactions and deceleration-driven instabilities. The rendering emphasizes the multiphase character of the remnant with a hot, volume-filling cavity bounded by a rippled, cooling shell and punctuated by small-scale clumps produced by nonlinear RT/KH growth.

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