Related papers: Bubbleformer: Forecasting Boiling with Transformers

Bubbleformer: Forecasting Boiling with Transformers

URL: http://arxiv.org/abs/2507.21244v1
Date: Mon, 28 Jul 2025 18:02:57 GMT
Title: Bubbleformer: Forecasting Boiling with Transformers
Authors: Sheikh Md Shakeel Hassan, Xianwei Zou, Akash Dhruv, Vishwanath Ganesan, Aparna Chandramowlishwaran,
Abstract summary: Existing models require future input during inference because they fail to learn nucleation from past states.<n>We introduce Bubbleformer, a transformer-based model that forecasts stable and long-range boiling dynamics.<n>We also release BubbleML 2.0, a high-fidelity dataset that spans diverse working fluids.
Score: 2.343575298020989
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Modeling boiling (an inherently chaotic, multiphase process central to energy and thermal systems) remains a significant challenge for neural PDE surrogates. Existing models require future input (e.g., bubble positions) during inference because they fail to learn nucleation from past states, limiting their ability to autonomously forecast boiling dynamics. They also fail to model flow boiling velocity fields, where sharp interface-momentum coupling demands long-range and directional inductive biases. We introduce Bubbleformer, a transformer-based spatiotemporal model that forecasts stable and long-range boiling dynamics including nucleation, interface evolution, and heat transfer without dependence on simulation data during inference. Bubbleformer integrates factorized axial attention, frequency-aware scaling, and conditions on thermophysical parameters to generalize across fluids, geometries, and operating conditions. To evaluate physical fidelity in chaotic systems, we propose interpretable physics-based metrics that evaluate heat-flux consistency, interface geometry, and mass conservation. We also release BubbleML 2.0, a high-fidelity dataset that spans diverse working fluids (cryogens, refrigerants, dielectrics), boiling configurations (pool and flow boiling), flow regimes (bubbly, slug, annular), and boundary conditions. Bubbleformer sets new benchmark results in both prediction and forecasting of two-phase boiling flows.

Related papers

Nonequilibrium steady states in multi-bath quantum collision models [0.0]
Collision models capture the dynamics of open quantum systems.<n>Non-Markovian dynamics arise when intra-environment interactions in either setting are introduced.<n>We showcase this with a trajectory analysis of the heat currents within a two-point measurement scheme.
arXiv Detail & Related papers (2025-07-18T12:34:39Z)
A Physics-Informed Convolutional Long Short Term Memory Statistical Model for Fluid Thermodynamics Simulations [0.0]
Direct numerical simulations of fluid thermodynamics are computationally prohibitive.<n>We present a physics-informed architecture for RBC, a canonical example of convective flow.<n>Inference is penalized with respect to the governing partial differential equations to ensure interpretability.
arXiv Detail & Related papers (2025-05-16T06:47:00Z)
Physics-aware generative models for turbulent fluid flows through energy-consistent stochastic interpolants [0.0]
Generative models have demonstrated remarkable success in domains such as text, image, and video.<n>In this work, we explore the application of generative models to fluid dynamics, specifically for turbulence simulation.<n>We propose a novel generative model based on interpolants, which enables probabilistic forecasting while incorporating physical constraints.
arXiv Detail & Related papers (2025-04-08T09:29:01Z)
Thermalization and Criticality on an Analog-Digital Quantum Simulator [133.58336306417294]
We present a quantum simulator comprising 69 superconducting qubits which supports both universal quantum gates and high-fidelity analog evolution. We observe signatures of the classical Kosterlitz-Thouless phase transition, as well as strong deviations from Kibble-Zurek scaling predictions. We digitally prepare the system in pairwise-entangled dimer states and image the transport of energy and vorticity during thermalization.
arXiv Detail & Related papers (2024-05-27T17:40:39Z)
Quantum Effects on the Synchronization Dynamics of the Kuramoto Model [62.997667081978825]
We show that quantum fluctuations hinder the emergence of synchronization, albeit not entirely suppressing it. We derive an analytical expression for the critical coupling, highlighting its dependence on the model parameters.
arXiv Detail & Related papers (2023-06-16T16:41:16Z)
Hot entanglement? -- Parametrically coupled quantum oscillators in two heat baths: instability, squeezing and driving [0.0]
Entanglement is a cornerstone of quantum sciences and information processing. Galve et al [Phys. Rev. Lett. textbf105 180501 (2010)] announced that entanglement can be kept at high temperatures. This work probes into the feasibility of hot entanglement' from three aspects listed in the subtitle.
arXiv Detail & Related papers (2022-12-31T17:24:28Z)
Photoinduced prethermal order parameter dynamics in the two-dimensional large-$N$ Hubbard-Heisenberg model [77.34726150561087]
We study the microscopic dynamics of competing ordered phases in a two-dimensional correlated electron model. We simulate the light-induced transition between two competing phases.
arXiv Detail & Related papers (2022-05-13T13:13:31Z)
Floquet-heating-induced Bose condensation in a scar-like mode of an open driven optical-lattice system [62.997667081978825]
We show that the interplay of bath-induced dissipation and controlled Floquet heating can give rise to non-equilibrium Bose condensation. Our predictions are based on a microscopic model that is solved using kinetic equations of motion derived from Floquet-Born-Markov theory.
arXiv Detail & Related papers (2022-04-14T17:56:03Z)
Energy Transport in Sachdev-Ye-Kitaev Networks Coupled to Thermal Baths [0.0]
We develop a framework for studying the equilibrium and non-equilibrium properties of arbitrary networks of Sachdev-Ye-Kitaev clusters coupled to thermal baths. We study the emerging non-equilibrium steady state using the Schwinger-Keldysh formalism. We establish a relationship between energy transport and quantum chaos by showing that the diffusion constant is upper bounded by the chaos propagation rate at all temperatures.
arXiv Detail & Related papers (2021-09-07T18:06:02Z)
Accurate simulation and thermal tuning by temperature-adaptive boundary interactions on quantum many-body systems [2.13230439190003]
We propose the temperature-adaptive entanglement simulator (TAES) that mimics and tunes the thermodynamics of the one-dimensional (1D) many-body system. With the benchmark on 1D spin chains, TAES surpasses the state-of-the-art accuracy compared with the existing finite-temperature approaches.
arXiv Detail & Related papers (2021-04-30T15:21:06Z)
Analog cosmological reheating in an ultracold Bose gas [58.720142291102135]
We quantum-simulate the reheating-like dynamics of a generic cosmological single-field model in an ultracold Bose gas. Expanding spacetime as well as the background oscillating inflaton field are mimicked in the non-relativistic limit. The proposed experiment has the potential of exploring the evolution up to late times even beyond the weak coupling regime.
arXiv Detail & Related papers (2020-08-05T18:00:26Z)
Probing eigenstate thermalization in quantum simulators via fluctuation-dissipation relations [77.34726150561087]
The eigenstate thermalization hypothesis (ETH) offers a universal mechanism for the approach to equilibrium of closed quantum many-body systems. Here, we propose a theory-independent route to probe the full ETH in quantum simulators by observing the emergence of fluctuation-dissipation relations. Our work presents a theory-independent way to characterize thermalization in quantum simulators and paves the way to quantum simulate condensed matter pump-probe experiments.
arXiv Detail & Related papers (2020-07-20T18:00:02Z)

This list is automatically generated from the titles and abstracts of the papers in this site.