Lile Wang

Lile Wang

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Lile Wang has a total of 235 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Supernova origin of galactic turbulence revealed by superbubbles

    by Fanyi Meng, Chao-Wei Tsai, Jingwen Wu, Sihan Jiao, Mordecai-Mark Mac Low, Zhi-Yu Zhang, Amélie Saintonge, Hui Li, Zongnan Li, Jie Wang, et al.


  • Identifying the principal mechanism of star formation feedback

    by Chong Li, Rouyu Li, Keping Qiu, Marko Krco, Di Li, Hongchi Wang, Xin Lyu, Yan Duan, Min Fang, Xuepeng Chen, et al.

    Feedback from massive stars regulates the formation of next-generation stars and planets and thus shapes the evolution of galaxies, yet observational evidence capable of determining which mechanism dominates the feedback process has long been lacking. Here, we present a large-scale H I survey toward Orion A. With an unprecedented sensitivity and superior resolution, FAST (Five-hundred-meter Aperture Spherical radio Telescope) reveals a well-defined heart-shaped expanding H I bubble, enshrouding the well-known “Veil” bubble of ionized gas. The photoionization-driven and wind-driven gas expands at 10.9 and 13.8 kilometers per second, respectively, with a kinetic energy ratio of 1:2 assuming a spherical symmetry and a uniform H I -to-H 2 ratio. This first direct comparison within a single bubble shows that radiation does not dominate the feedback process as predicted by classical theories; instead, stellar winds contribute a comparable share of the injected kinetic energy.

  • Open Access

    Interstellar Dust-catalyzed Hydrogen Formation Enabled by Nuclear Quantum Effects

    by Xiaolong Yang, Lile Wang, Di Li, Shenzhen Xu

    Molecular hydrogen (H 2 ) is one of the key chemical species that controls and shapes a wide spectrum of astrophysical processes from galaxy evolution to planet formation. Although catalyzation on dust grain surfaces is the dominant formation channel of H 2 in the interstellar medium, its efficiency across 20–200 K has remained not fully understood. Here, using multiscale simulations combining ab initio level machine learning force fields, constrained path-integral Monte Carlo, and kinetic Monte Carlo, we perform a systematic, quantum-mechanical study of the full H 2 formation sequence, including hydrogen adsorption, diffusion, association, and desorption. We explicitly consider the decoupling of gas and dust temperatures, making our results applicable to photodissociation regions and dense cold clouds. Our results show that on the bare, crystalline surfaces studied here (graphitic and silicate grains), physisorbed hydrogen is negligible, and nuclear quantum effects (NQEs) in chemisorbed hydrogen atoms are essential for efficient formation at low temperatures, overcoming the classical Boltzmann suppression. This work presents a quantitative NQEs-inclusive study on silicate surfaces (exemplified by enstatite) and graphitic grains, revealing surface-specific adsorption behavior. These findings provide a first-principles quantum foundation for interstellar H 2 formation, complementing empirical multipliers, and enable new observational constraints on dust composition and molecular cloud evolution. The framework also extends to other astrochemical reactions on dust grains under full NQEs.

  • Open Access

    HOTDISK. Finding Massive Protostellar Disks with Water and Refractory Molecular Species

    by Kai楷Yang杨, Yichen沂忱Zhang张, Kei E. I. Tanaka, Tie Liu, Nami Sakai, Ziwei E. Zhang, Gyuho Lee, Kee-Tae Kim, Adam Ginsburg, Lile Wang, et al.

    We present high-angular-resolution (∼0 . ″ 05, ∼60−250 au) Atacama Large Millimeter/submillimeter Array Band 6 observations from the HOTDISK project (Hot-Origin Tracer survey of DISKs of massive protostars) aimed at investigating the “hot-disk” chemical pattern traced by vibrationally excited water, NaCl, SiS, and SiO in the innermost regions around massive protostars. 10 targets were selected based on strong CH 3 CN emission exhibiting clear rotational signatures and centrally concentrated SiO emission from lower-resolution observations. We detect vibrationally excited water emission toward 7 of the 10 sources. In all detections, the blueshifted and redshifted components are compact and located on opposite sides of the 1.3 mm continuum peak, with velocity gradients approximately perpendicular to the outflow axes, consistent with rotation on disk scales. Emission from NaCl and SiS is detected toward five of these seven sources and exhibits similar kinematics, further supporting the presence of compact rotating structures. In contrast, commonly used hot-core tracers (e.g., CH 3 CN and SO 2 ) primarily probe larger-scale envelope gas. These results demonstrate that vibrationally excited water, NaCl, and SiS are powerful tracers of disk structures on ∼100 au scales, when observed at sufficient angular resolution and sensitivity. The high detection rate suggests that hot-disk chemical patterns—and thus compact rotating disks—are common in massive star-forming regions, at least among sources with well-developed rotating envelopes.

  • Open Access

    Adsorption of Volatiles on Dust Grains in Protoplanetary Disks

    by Lile Wang, Feng Long, Haifeng Yang, Ruobing Dong, Shenzhen Xu

    The adsorption of volatile molecules onto dust grain surfaces fundamentally influences dust-related processes, including condensation of gas-phase molecules, dust coagulation, and planet formation in protoplanetary disks. Using advanced ab initio density functional theory with r 2 SCAN+rVV10 van der Waals functionals, we calculate adsorption energies of H 2 , H 2 O, and CO on carbonaceous (graphene, amorphous carbon) and silicate (MgSiO 3 ) surfaces. Results reveal fundamentally different adsorption mechanisms: weak physisorption on carbonaceous surfaces (∣Δ ϵ ad ∣ ∼ 0.1−0.2 eV) versus strong chemisorption on silicates (∣Δ ϵ ad ∣ ∼ 0.5−1.5 eV) via coordination bonds. Kinetic Monte Carlo simulations incorporating these energies demonstrate divergent surface evolution: carbonaceous grains exhibit distinct condensation radius compared to silicates, while the cocrystal of H 2 O and CO significantly increases the desorption temperature of CO. The actual radii of gas-phase molecular depletion could thus be a comprehensive result of temperatures, chemical compositions, and even evolution tracks. Meanwhile, silicates maintain chemisorbed molecular coatings throughout most disk regions. Such dichotomy in surface coverage could also provide a natural mechanism for carbon depletion in inner planetary systems.


  • Open Access

    Modeling the Dynamics and Thermochemistry for the Outer Atmospheres of the Ultra-hot Jupiter WASP-121b

    by Lile Wang, Yiren Lin, Ji Wang, Fei Dai

    We present three-dimensional simulations of the ultra-hot Jupiter (UHJ) WASP-121b from the planetary surface to extended outflows, coupling hydrodynamics with consistent non-equilibrium thermochemistry, ray-tracing radiative transfer, and hydrodynamics using the GPU-accelerated Kratos framework. The fiducial model exhibits several atmospheric layers, including the lower atmospheres controlled by day-night circulation, and transonic photoevaporative outflows at higher altitudes shaped into two spiral arms by the stellar gravity and orbital motion effects. Different species could trace different regions: Fe probes rotation-dominated inner layers, Na maps dense spiral arms where recombination balances photoionization, and H$α$ and He $10830~{\rm A}$ features trace progressively more extended, ionized gas. With spiral arm velocities reaching $\sim 40~{\rm km\ s}^{-1}$ projected along the line of sight, this morphology explains observed high-velocity Na and H$α$ absorption features without requiring significant super-rotation jet streams. Parametric studies reveal complex dependencies on stellar irradiation: enhanced FUV intensifies outflows and extends spiral arms spatially and kinematically, while EUV and X-ray expands spiral structures into attenuated, ionized regions. Stellar wind confinement compresses the dayside outflow and enhances metastable helium absorption. This work demonstrates that current and future transmission spectral observations that probe multiple species can provide important constraints on astrophysical environments of UHJs by comparing state-of-the-art simulations.

  • Open Access

    Supernova origin of galactic turbulence revealed by superbubbles

    by Di Li, Fanyi Meng, Chao-Wei Tsai, Jingwen Wu, Sihan Jiao, Mordecai-Mark Mac Low, Zhi-Yu Zhang, Amelie Saintonge, Hui Li, Zongnan Li, et al.

    Supernovae (SNe) are among the leading candidates for powering galactic-scale turbulence. SNe drive expanding shells of neutral atomic hydrogen (HI) known as superbubbles. Due to the lack of a sensitive, dynamically complete, galaxy-wide census, superbubbles have not been used to quantify the galactic-scale turbulent energy budget. Here we present a combined Five-hundred-meter Aperture Spherical radio Telescope (FAST) and Jansky Very Large Array HI survey of the Andromeda galaxy (M31), the nearest giant spiral, with superior sensitivity and dynamical coverage. We identify 118 superbubbles across the entire disk of M31 with dynamical ages up to 40 Myr, consistent with the expected duration of SN activity in a star cluster and extending the age coverage well beyond previous surveys. Inferred from these superbubbles, the kinetic energy injection rates (10^49–10^51.5 erg kpc^-3 Myr^-1) from SNe closely match the turbulence dissipation rates derived independently from the same data, in both magnitude and spatial distribution. These results demonstrate that clustered SN feedback is sufficient to sustain galactic-scale turbulence, which shapes disk structure and influences galaxy evolution.

  • Open Access

    Consistent Modeling of Nonequilibrium Dust Sublimation and the Interactions with Dust Evolution in the Inner Regions of Protoplanetary Disks

    by Sheng Xu, Lile Wang, Luis C. Ho, Renyue Cen, Shenzhen Xu

    The inner regions of protoplanetary disks are host to the sublimation of dust grains, a process traditionally modeled using equilibrium thermodynamics. We demonstrate through ab initio density functional theory and kinetic Monte Carlo simulations that silicate dust sublimation is inherently a nonequilibrium kinetic process. The binding energies and vibrational frequencies governing desorption, calculated for MgSiO 3 and other compositions, reveal that sublimation timescales far exceed local dynamical times, allowing grains to persist in a superheated state. This kinetic inhibition results in a broad, dynamic sublimation front whose location and morphology are strongly regulated by radial advection and dust coagulation. Our coupled simulations, integrating sublimation with advection and grain evolution, show that the front varies radially by a factor of four with accretion rate and exhibits a vertically stratified, bowl-shaped structure. These findings imply that the inner disk’s dust distribution, thermal structure, and subsequent planet formation are profoundly influenced by the kinematics and kinetics of dust grains, necessitating a departure from equilibrium prescriptions in disk models and interpretations of inner rim observations.


  • Open Access

    Direct Numerical Simulations of Oxygen-flame-driven Deflagration-to-detonation Transition in Type Ia Supernovae

    by Xiaoyu Zhang, Lile Wang, Yang Gao, Yao Zhou

    We present direct numerical simulations demonstrating deflagration-to-detonation transition (DDT) driven by oxygen flames in Type Ia supernova progenitors. Using the Castro hydrodynamics code coupled with the “aprox13” 13-isotope nuclear network, we simulate combustion in isolated fuel regions where oxygen flames trail carbon flames. In a fiducial 1D run at ρ 0 = 3.5 × 10 7 g cm −3 we observe spontaneous DDT of the oxygen flame via the Zel’dovich gradient mechanism when the carbon–oxygen separation reaches ∼10 km. The oxygen detonation then captures the carbon flame and triggers a stable carbon detonation. Systematic 1D parameter scans show that successful carbon DDT requires upstream densities in the range (3.1–3.6) × 10 7 g cm −3 and a minimum carbon-flame thickness of ≳20 m. 2D simulations confirm DDT and demonstrate that the multidimensional cellular structure of the oxygen detonation can promote carbon detonation at somewhat lower densities than in one dimension. These results provide direct numerical evidence that oxygen-flame-driven DDT is physically plausible in turbulent white-dwarf environments and underscore the importance of multidimensional effects for Type Ia supernova explosion modeling.


  • Open Access

    Kratos-polrad: Novel GPU system for Monte-Carlo simulations with consistent polarization calculations

    by Haifeng Yang, Lile Wang

    Polarized radiation serves as a vital diagnostic tool in astrophysics, providing unique insights into magnetic field geometries, scattering processes, and three-dimensional structures in diverse astrophysical scenarios. To address these applications, we present Kratos-polrad, a novel GPU-accelerated Monte Carlo Radiative Transfer code built upon the heterogeneous computing framework of Kratos, designed for self-consistent and efficient polarization calculations. It utlizes comprehensive treatment of Stokes parameters throughout photon propagation, featuring transforms the grain-lab frame transforms using quaternion algebra and consistent non-linear polarization extinction in cells, which are useful in modeling radiative transfer processes with scatterings by aligned dust grains. The code implements two-step polarimetry imaging that decouples Monte Carlo sampling of scattering physics from imaging geometry, enabling efficient synthesis maximizing the utilization of photon packets. Extensive validation against analytical solutions and established codes demonstrates accurate treatment of diverse polarization phenomena, including self-scattering polarization, dichroic extinction in aligned dust grains, and complex polarization patterns in twisted magnetic field configurations. By leveraging massive GPU parallelism, optimized memory access patterns, and analytical approaches for optically thick cells, Kratos-polrad achieves performance improvements of $\sim 10^{2}$ times compared to CPU-based methods, enabling previously prohibitive studies in polarimetric astrophysics.