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Diffusion methods for generating transition paths 生成过渡路径的扩散方法
IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-11-19 DOI: 10.1016/j.jcp.2024.113590
Luke Triplett, Jianfeng Lu
In this work, we seek to simulate rare transitions between metastable states using score-based generative models. An efficient method for generating high-quality transition paths is valuable for the study of molecular systems since data is often difficult to obtain. We develop two novel methods for path generation in this paper: a chain-based approach and a midpoint-based approach. The first biases the original dynamics to facilitate transitions, while the second mirrors splitting techniques and breaks down the original transition into smaller transitions. Numerical results of generated transition paths for the Müller potential and for Alanine dipeptide demonstrate the effectiveness of these approaches in both the data-rich and data-scarce regimes.
在这项工作中,我们试图利用基于分数的生成模型模拟陨变状态之间的罕见转变。由于数据通常难以获得,因此一种生成高质量转换路径的高效方法对分子系统研究非常有价值。我们在本文中开发了两种新颖的路径生成方法:基于链的方法和基于中点的方法。第一种方法偏置原始动力学以促进过渡,而第二种方法则借鉴分裂技术,将原始过渡分解为更小的过渡。为 Müller 势和丙氨酸二肽生成过渡路径的数值结果表明,这些方法在数据丰富和数据稀缺的情况下都很有效。
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引用次数: 0
Parametrization and Cartesian representation techniques for robust resolution of chemical equilibria 用于稳健解决化学平衡问题的参数化和笛卡尔表示技术
IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-11-19 DOI: 10.1016/j.jcp.2024.113596
Maxime Jonval , Ibtihel Ben Gharbia , Clément Cancès , Thibault Faney , Quang-Huy Tran
Chemical equilibria computations, especially those with vanishing species in the aqueous phase, lead to nonlinear systems that are difficult to solve due to gradient blow up. Instead of the commonly used ad hoc treatments, we propose two reformulations of the single-phase chemical equilibrium problem which are in line with the spirit of preconditioning but whose actual aims are to guarantee a better stability of Newton's method. The first reformulation is a parametrization of the graph linking species mole fractions to their chemical potentials. The second is based on an augmented system where this relationship is relaxed for the iterates by means of a Cartesian representation. We theoretically prove the local quadratic convergence of Newton's method for both reformulations. From a numerical point of view, we demonstrate that the two techniques are accurate, allowing to compute equilibria with chemical species having very low concentrations. Moreover, the robustness of our methods combined with a globalization strategy is superior to that of the literature.
化学平衡计算,尤其是水相中存在消失物种的计算,会导致非线性系统因梯度膨胀而难以求解。我们提出了两种单相化学平衡问题的重拟方法,而不是常用的特别处理方法,它们符合预处理的精神,但其实际目的是保证牛顿方法具有更好的稳定性。第一种重拟是将物种摩尔分数与其化学势联系起来的图形参数化。第二种重构以增强系统为基础,通过笛卡尔表示法放松迭代中的这种关系。我们从理论上证明了牛顿方法对这两种重新表述的局部二次收敛性。从数值角度来看,我们证明了这两种技术的准确性,可以计算浓度很低的化学物种的平衡。此外,我们的方法与全局化策略相结合,其稳健性优于文献。
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引用次数: 0
A deterministic–particle–based scheme for micro-macro viscoelastic flows 基于确定性粒子的微宏观粘弹性流动方案
IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-11-19 DOI: 10.1016/j.jcp.2024.113589
Xuelian Bao , Chun Liu , Yiwei Wang
In this article, we introduce a new method for discretizing micro-macro models of dilute polymeric fluids by integrating a finite element method (FEM) discretization for the macroscopic fluid dynamics equation with a deterministic variational particle scheme for the microscopic Fokker-Planck equation. To address challenges arising from micro-macro coupling, we employ a discrete energetic variational approach to derive a coarse-grained micro-macro model with a particle approximation first and then develop a particle-FEM discretization for the coarse-grained model. The accuracy of the proposed method is evaluated for a Hookean dumbbell model in a Couette flow by comparing the computed velocity field with existing analytical solutions. We also use our method to study nonlinear FENE dumbbell models in different scenarios, such as extensional flow, pure shear flow, and lid-driven cavity flow. Numerical examples demonstrate that the proposed deterministic particle approach can accurately capture the various key rheological phenomena in the original FENE model, including hysteresis and δ-function-like spike behavior in extensional flows, velocity overshoot phenomenon in pure shear flows, symmetries breaking, vortex center shifting, and vortices weakening in lid-driven cavity flows, with a small number of particles.
在本文中,我们介绍了一种新方法,通过将宏观流体动力学方程的有限元法(FEM)离散化与微观福克-普朗克方程的确定性变分粒子方案相结合,对稀聚合物流体的微观-宏观模型进行离散化。为了应对微观-宏观耦合带来的挑战,我们采用离散能量变分法,首先用粒子近似推导出粗粒度的微观-宏观模型,然后为粗粒度模型开发粒子-有限元离散法。通过将计算出的速度场与现有的分析解进行比较,我们对库特流中的胡肯哑铃模型评估了所提方法的准确性。我们还使用我们的方法研究了不同情况下的非线性 FENE 哑铃模型,如伸展流、纯剪切流和盖子驱动的空腔流。数值示例表明,所提出的确定性粒子方法可以准确捕捉原始 FENE 模型中的各种关键流变现象,包括伸展流中的滞后和类似 δ 函数的尖峰行为、纯剪切流中的速度过冲现象、对称性破坏、涡旋中心偏移以及顶盖驱动空腔流中的涡旋减弱。
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引用次数: 0
Unified gas-kinetic wave-particle method for frequency-dependent radiation transport equation 频率相关辐射输运方程的统一气体动能波粒法
IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-11-17 DOI: 10.1016/j.jcp.2024.113587
Xiaojian Yang , Yajun Zhu , Chang Liu , Kun Xu
The multi-frequency radiation transport equation (RTE) system models the photon transport and the energy exchange process between the background material and different frequency photons. In this paper, the unified gas-kinetic wave-particle (UGKWP) method for multi-frequency RTE is developed to capture the multiscale non-equilibrium transport in different optical regimes. In the UGKWP, a multiscale evolution process is properly designed to obtain both non-equilibrium transport in the optically thin regime and thermal diffusion process in the optically thick regime automatically. At the same time, the coupled macroscopic energy equations for the photon and material are solved implicitly by the matrix-free source iteration method. With the wave-particle decomposition strategy, the UGKWP method has a dynamic adaptivity for different regime physics. In the optically thick regime, no particles will be sampled in the computational domain due to the intensive energy exchange between photon and background material, and the thermal diffusion solution for the photon transport will be recovered. While in the optically thin regime, stochastic particles will play a dominant role in the evolution and the non-equilibrium free transport of photon is automatically followed. In the frequency-dependent transport, the frequency carried by the simulating particle will be determined by a linear-frequency sampling strategy. In addition, to better resolve the sharp transition of opacity in the photon transport across a cell interface, the free streaming time of simulating particle in the UGKWP method will be reset when it passes through the interface. Moreover, the numerical relaxation time is properly defined to increase the particle proportion in the sharp opacity transition region in order to avoid numerical oscillation. Several typical test cases for the RTE system have been calculated to demonstrate the accuracy and reliability of the current frequency-dependent UGKWP method.
多频辐射输运方程(RTE)系统模拟了光子输运以及背景材料与不同频率光子之间的能量交换过程。本文开发了用于多频辐射输运方程的统一气体动力学波粒(UGKWP)方法,以捕捉不同光学状态下的多尺度非平衡输运。在 UGKWP 中,适当设计了多尺度演化过程,以自动获取光学稀薄体系中的非平衡输运和光学厚体系中的热扩散过程。同时,采用无矩阵源迭代法隐式求解光子和材料的耦合宏观能量方程。由于采用了波粒分解策略,UGKWP 方法对不同物理机制具有动态适应性。在光厚体系中,由于光子与背景材料之间的密集能量交换,计算域中不会对粒子进行采样,光子传输的热扩散解将被恢复。而在光学稀薄区,随机粒子将在演化过程中发挥主导作用,光子的非平衡自由输运将被自动跟踪。在频率相关传输中,模拟粒子携带的频率将由线性频率采样策略决定。此外,为了更好地解析光子在穿过细胞界面时的不透明度急剧转变,UGKWP 方法中模拟粒子的自由流时间将在其穿过界面时重置。此外,为了避免数值振荡,还适当定义了数值弛豫时间,以增加粒子在不透明度急剧变化区域的比例。我们计算了 RTE 系统的几个典型测试案例,以证明当前频率相关 UGKWP 方法的准确性和可靠性。
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引用次数: 0
Efficient ROUND schemes on non-uniform grids applied to discontinuous Galerkin schemes with Godunov-type finite volume sub-cell limiting 非均匀网格上的高效 ROUND 方案应用于具有戈杜诺夫型有限体积子单元限制的非连续伽勒金方案
IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-11-17 DOI: 10.1016/j.jcp.2024.113575
Xi Deng , Zhen-hua Jiang , Chao Yan
Developing accurate, efficient and robust shock-capturing schemes on non-uniform grids remains challenging particularly when facing strong non-uniformity. Thus, we extend the unified normalised-variable diagram (UND) initially proposed by Deng (2023) [30] on uniform grids to non-uniform grids, and propose essentially non-oscillatory (ENO) and high-resolution regions in non-uniform grid UND. Based on the proposed UND, we formulate a high-resolution shock-capturing scheme termed ROUND (Reconstruction Operators on Unified-Normalise-variable Diagram) on non-uniform meshes. Unlike classic WENO (Weighted Essentially Non-Oscillatory) schemes applied to non-uniform grids, the ROUND scheme avoids the expensive calculation of smoothness indicators. The ROUND scheme is first applied to solve the scalar convection equation. The results reveal that the ROUND scheme significantly improves the numerical resolution and preserves the structure of the passively convected scalar compared to the TVD (Total Variation Diminishing) limiters. For capturing discontinuous solutions, the proposed ROUND scheme on non-uniform meshes surpasses the performance of the 5th-order WENO-JS scheme. The ROUND scheme is then integrated into discontinuous Galerkin (DG) with the FV subcell limiting method to enhance the numerical resolution at the subcell level while adhering to the discrete conservation law. The compactness and simplicity of the ROUND scheme on non-uniform grids are compatible with the DG method, known for its features such as compactness and flexibility of hp-refinement. The resulting DG method, utilising finite volume ROUND subcell limiting, is denoted as the DG/FV-ROUND scheme. To assess the accuracy and robustness of the DG/FV-ROUND scheme, we simulate high-speed compressible flows characterized by strong shock waves and small-scale flow structures. Comparative studies show the improved numerical resolution achieved by DG/FV-ROUND. Thus, this research demonstrates the efficacy and robustness of the ROUND scheme on non-uniform grids and affirms that incorporating high-resolution ROUND as subcell shock-capturing schemes can enhance the resolution of DG/FV methods.
在非均匀网格上开发精确、高效和稳健的冲击捕捉方案仍然具有挑战性,尤其是在面临强非均匀性时。因此,我们将 Deng(2023)[30] 最初在均匀网格上提出的统一归一化变量图(UND)扩展到非均匀网格,并在非均匀网格 UND 中提出本质上非振荡(ENO)和高分辨率区域。基于所提出的 UND,我们在非均匀网格上提出了一种高分辨率冲击捕捉方案,称为 ROUND(Reconstruction Operators on Unified-Normalise-variable Diagram)。与应用于非均匀网格的经典 WENO(加权基本非振荡)方案不同,ROUND 方案避免了昂贵的平滑度指标计算。ROUND 方案首先用于求解标量对流方程。结果表明,与 TVD(总变异递减)限制器相比,ROUND 方案显著提高了数值分辨率,并保留了被动对流标量的结构。在捕捉不连续解方面,所提出的 ROUND 方案在非均匀网格上的性能超过了 5 阶 WENO-JS 方案。然后,将 ROUND 方案与 FV 子单元限制方法集成到非连续伽勒金(DG)中,以提高子单元级的数值分辨率,同时遵守离散守恒定律。ROUND 方案在非均匀网格上的紧凑性和简易性与 DG 方法相兼容,DG 方法以其紧凑性和 hp-refinement 的灵活性等特点而著称。由此产生的利用有限体积 ROUND 子单元限制的 DG 方法称为 DG/FV-ROUND 方案。为了评估 DG/FV-ROUND 方案的准确性和稳健性,我们模拟了以强冲击波和小尺度流动结构为特征的高速可压缩流。对比研究表明,DG/FV-ROUND 提高了数值分辨率。因此,这项研究证明了 ROUND 方案在非均匀网格上的有效性和稳健性,并肯定了将高分辨率 ROUND 作为子单元冲击捕获方案可以提高 DG/FV 方法的分辨率。
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引用次数: 0
Toward robust linear implicit schemes for steady state hypersonic flows 稳态高超音速流动的稳健线性隐式方案
IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-11-17 DOI: 10.1016/j.jcp.2024.113586
Benoît Cossart , Jean-Philippe Braeunig , Raphaël Loubère
Implicit time discretization in computational fluid dynamics dedicated to compute steady state solution of hypersonic flows was an intense field of research in the 70's-80's. It is suitable for computational efficiency to use implicit schemes that do not suffer from time step restriction to guarantee stability, unlike explicit ones. Unfortunately time step restriction is still required in practice, especially for stiff numerical test cases such as high Mach number flows around objects. A method introduced by Yee et al. (1985) [34] is commonly used to simulate computational fluid dynamics problems in an implicit fashion. However this method has no formal theoretical basis for systems of conservation laws. Consequently the practical time step is driven by a ad-hoc user-given profile. The purpose of this work is first to study the mathematical properties of such linearized implicit finite volume schemes to enlighten their weaknesses and exhibit more adequate linearization processes. We rely on the hyperbolicity of the Euler equations to establish a general framework to design implicit schemes. Secondly, we propose a correction of the system matrix to adapt to any given finite volume scheme. The obtained linearized implicit finite volume methods are more robust and less constrained with regards to ad-hoc user-given profile. Numerical results in 1D and 2D will provide evidences to confirm the analysis on relevant and challenging hypersonic test cases.
计算流体力学中的隐式时间离散化专门用于计算高超音速流的稳态解,是 70-80 年代的一个热门研究领域。与显式方案不同,隐式方案不受时间步长限制,可以保证稳定性,因此适合提高计算效率。遗憾的是,在实际应用中仍需要时间步长的限制,尤其是在高马赫数流体环绕物体等僵硬的数值测试案例中。Yee 等人(1985 年)[34] 提出的一种方法常用于以隐式方式模拟计算流体动力学问题。然而,这种方法没有守恒定律系统的正式理论基础。因此,实际的时间步长是由用户给定的临时轮廓驱动的。这项工作的目的首先是研究这种线性化隐式有限体积方案的数学特性,以揭示其弱点并展示更适当的线性化过程。我们依靠欧拉方程的双曲性建立了设计隐式方案的一般框架。其次,我们提出了一种系统矩阵修正方法,以适应任何给定的有限体积方案。所获得的线性化隐式有限体积方法更加稳健,对用户给定的临时轮廓的约束更小。一维和二维的数值结果将提供证据,以证实对相关和具有挑战性的高超音速试验案例的分析。
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引用次数: 0
Disk harmonics for analysing curved and flat self-affine rough surfaces and the topological reconstruction of open surfaces 用于分析曲面和平面自仿真粗糙表面的圆盘谐波以及开放表面的拓扑重建
IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-11-17 DOI: 10.1016/j.jcp.2024.113578
Mahmoud Shaqfa , Gary P.T. Choi , Guillaume Anciaux , Katrin Beyer
When two bodies get into contact, only a small portion of the apparent area is actually involved in producing contact and friction forces because of the surface roughnesses. It is, therefore, crucial to accurately describe the morphology of rough surfaces, for instance, by extracting the fractal dimension and the so-called Hurst exponent, which is a typical signature of rough surfaces. This can be done using harmonic decomposition, which is easy for periodic and nominally flat surfaces since Fourier transforms allow fast and reliable decomposition. Yet, it remains a challenging task in the general curved and non-periodic cases, where more appropriate basis functions must be used. In this work, disk harmonics based on Fourier-Bessel basis functions are employed for decomposing open single-edge genus-0 surfaces (no holes) as a practical and fast alternative to characterise self-affine rough surfaces with the power Fourier-Bessel spectral density. An analytical relationship between the power spectrum density decay and the Hurst exponent is derived through an extension of the Wiener-Khinchin theorem in the special case where surfaces are assumed self-affine and isotropic. Finally, this approach is demonstrated to successfully measure the fractal dimension, Hurst exponent, without introducing typical biases coming from basis functions boundary conditions, surface discretisation or curvature of the surface patches. This work opens the path for contact mechanics studies based on the Fourier-Bessel spectral representation of curved and rough surface morphologies. All implementation details for this method are available under GNU LGPLv3 terms and conditions.
当两个物体接触时,由于表面粗糙度的原因,实际上只有一小部分表观面积参与产生接触力和摩擦力。因此,准确描述粗糙表面的形态至关重要,例如通过提取分形维度和所谓的赫斯特指数(粗糙表面的典型特征)。这可以通过谐波分解来实现,由于傅立叶变换可以快速可靠地进行分解,因此对于周期性和名义上平坦的表面来说,谐波分解很容易。然而,在一般的曲面和非周期性情况下,必须使用更合适的基函数,这仍然是一项具有挑战性的任务。在这项工作中,基于傅里叶-贝塞尔基函数的圆盘谐波被用来分解开放的单边 0 属表面(无孔),作为一种实用而快速的替代方法,用傅里叶-贝塞尔功率谱密度来表征自粗糙表面。在假设表面自成平面且各向同性的特殊情况下,通过对维纳-欣钦定理的扩展,得出了功率谱密度衰减与赫斯特指数之间的分析关系。最后,证明了这种方法可以成功测量分形维度和赫斯特指数,而不会引入基函数边界条件、表面离散化或表面斑块曲率带来的典型偏差。这项工作为基于曲面和粗糙表面形态的傅立叶-贝塞尔谱表示的接触力学研究开辟了道路。该方法的所有实施细节均根据 GNU LGPLv3 条款和条件提供。
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引用次数: 0
On Godunov's interesting class of systems - The symmetric hyperbolic Euler equations of gas dynamics 关于戈杜诺夫的有趣系统类别 - 气体动力学的对称双曲欧拉方程
IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-11-17 DOI: 10.1016/j.jcp.2024.113588
Gerald Warnecke
In 1961 Godunov wrote a very interesting seminal paper [24] on how to obtain positive symmetric systems of equations in the sense of Friedrichs [21]. The examples were Euler-Lagrange equations from the calculus of variations, equations of crystal optics and gas dynamics. This review is a survey of the method in application to the hyperbolic conservation laws of gas dynamics, the Euler equations.
1961 年,戈杜诺夫撰写了一篇非常有趣的开创性论文[24],论述了如何在弗里德里希斯[21]的意义上获得正对称方程组。其中的例子包括变分学中的欧拉-拉格朗日方程、晶体光学方程和气体动力学方程。这篇综述是对该方法在气体动力学双曲守恒定律--欧拉方程--中应用的考察。
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引用次数: 0
Corrigendum to “Improvements to a class of hybrid methods for radiation transport: Nyström reconstruction and defect correction methods” 对 "一类辐射传输混合方法的改进:尼斯特伦重构和缺陷校正方法"
IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-11-16 DOI: 10.1016/j.jcp.2024.113566
Michael M. Crockatt , Andrew J. Christlieb , Cory D. Hauck
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引用次数: 0
A physics-informed neural network based method for the nonlinear Poisson-Boltzmann equation and its error analysis 基于物理信息神经网络的非线性泊松-波尔兹曼方程方法及其误差分析
IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-11-15 DOI: 10.1016/j.jcp.2024.113579
Hyeokjoo Park , Gwanghyun Jo
In this work, we develop a physics-informed neural network based method to solve the nonlinear Poisson-Boltzmann (PB) equation. One challenge in predicting the solution of the PB equation arises from the Dirac-delta type singularities, which causes the solution to blow up near the singular charges. To manage this issue, we construct Green-type functions to handle the singular component of the solution. Subtracting these functions yields a regularized PB equation exhibiting discontinuity across the solute-solvent interface. To handle the discontinuities, we employ a continuous Sobolev extension for the solution of the regularized PB equation on each subdomain. By adding an augmentation variable to label the sub-regions, we are able to achieve a continuous extension of the regularized solution. Finally, the physics-informed neural network (PINN) is proposed, where the parameters are determined by a judiciously chosen loss functional. In this way, we propose a user-friendly efficient approximation for the PB equation without the necessity for any mesh generation or linearization process such as the Newton-Krylov iteration. The error estimates of the proposed PINN method are carried out. We prove that the error between the exact and neural network solutions can be bounded by the physics-informed loss functional, whose magnitude can be made arbitrarily small for appropriately trained neural networks with sufficiently many parameters. Several numerical experiments are provided to demonstrate the performance of the proposed PINN method.
在这项研究中,我们开发了一种基于物理信息的神经网络方法来求解非线性泊松-波尔兹曼(PB)方程。预测 PB 方程解的一个挑战来自于狄拉克-德尔塔型奇点,它会导致解在奇点电荷附近爆炸。为了解决这个问题,我们构建了格林型函数来处理解的奇异成分。减去这些函数后,正则化的 PB 方程在溶质-溶剂界面上表现出不连续性。为了处理这些不连续性,我们对每个子域上的正则化 PB 方程的解采用了连续的 Sobolev 扩展。通过添加一个增强变量来标记子区域,我们就能实现正则化解的连续扩展。最后,我们提出了物理信息神经网络(PINN),其参数由一个明智选择的损失函数决定。这样,我们就为 PB 方程提出了一种用户友好的高效近似方法,而无需任何网格生成或线性化过程(如牛顿-克雷洛夫迭代)。我们对所提出的 PINN 方法进行了误差估计。我们证明,精确解与神经网络解之间的误差可以通过物理信息损失函数来约束,而对于经过适当训练、参数足够多的神经网络,其误差幅度可以变得非常小。我们提供了几个数值实验来证明所提出的 PINN 方法的性能。
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引用次数: 0
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Journal of Computational Physics
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