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AIP Publishing

@aip_publishing

Highly cited, highly respected, and highly relevant, AIP's archival journals are the cornerstone of many physics collections.

ID: 28588873

linkhttps://pubs.aip.org calendar_today03-04-2009 15:47:08

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Numerical results of I to II transition in swept-fin shock interaction reveal discrepancy with classical three-shock theory. Mechanisms are identified and verified. Learn more 👇 aippub.org/43NR4nb

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Using direct numerical simulation and Lagrangian visualization, soliton-like coherent structures (localized three-dimensional waves) are identified as precursors to turbulence in pipe flow. Learn more 👇 aippub.org/4eazLSp

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How do vapor bubbles form on surfaces in liquid water? Our study combines simulations and theory, revealing the crucial role of contact angles and defects, with implications for industry and biology. Learn more 👇 aippub.org/3HswkKm

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Reminder ❗ This Special Topic is still open for submissions. Submit by November 14, 2025! Learn more 👇 aippub.org/4ivRpk4

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Study develops a deep learning model using convolutional encoder–decoder networks to upscale coarse mesh velocity fields in packed bed reactors, ensuring accuracy while reducing computational cost. Learn more 👇 aippub.org/3FRbnYW

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A Goldilocks level of turbulence might make it possible to fly with less energy, wherein intermittent tailwinds are strong enough to make a difference but not too hard to find. Learn more 👇 aippub.org/4kxdZul

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Particle swimming vertically in shallow flows encounter counter flows that can impede them to reach their goal. When the flow is unsteady, they can overcome this obstacle. Learn more 👇 aippub.org/4kTbu5a

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This study shows that ionizable polyelectrolyte brushes in nanochannels regulate solvent flow with sharp pH/pressure-driven transitions, enabling smart nanofluidics for drug delivery and biosensors. Learn more 👇 aippub.org/3HvOdIo

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This study examines drop impacts on vertical fur-like fiber arrays, analyzing effects of density, arrangement and wettability. A model is derived for penetration depth as a function of Weber number. Learn more 👇 aippub.org/442HwWK

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Lagrangian approach to get induction and reaction times in cellular gaseous detonations gives insights into chemical and hydrodynamic processes, role of transverse waves, and ignition mechanisms. Learn more 👇 aippub.org/4jGE5tw

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Non-Invasive measurements of the elastic modulus of living human breast cancer cell using the elastohydrodynamic interaction between the thermal fluctuations of an AFM cantilever and the cell. Learn more 👇 aippub.org/3FJQSNW

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High-resolution climate projections show Hong Kong’s residential energy use could rise by up to 14% by century’s end, stressing the need for adaptive building design and energy policies. Learn more 👇 aippub.org/4koFLZO

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The nonlinear saturation of the unstable Mack modes is due to the change in acoustic phasing due to nonlinear distortions in the base flow, unlike classical hydrodynamics as discussed by J.T. Stuart. Learn more 👇 aippub.org/3SC4Ioz

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This study compares SPH and FVM to simulate turbulent marine propeller jets and analyse vortices, wake dynamics, and velocity fields, proving its potential for complex flow modeling. Learn more 👇 aippub.org/3SGHmy6

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Tropical storms’ max kinetic energy density matches water vapor's partial pressure. Kinetic energy generation in the boundary layer equals potential energy release from condensation in the air column. Learn more 👇 aippub.org/45GzV1l

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A novel OpenFOAM-based modular solver for high-speed flows with multiple innovations was developed. It achieves high-fidelity simulation capabilities while maintaining computational efficiency. Learn more 👇 aippub.org/3FJQL4Y

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Reminder ❗ This Special Topic is still open for submissions! Submit by November 5, 2025. Learn more 👇 aippub.org/3GzV4Qm

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Although the random sweeping hypothesis provides a basic picture of the spectral relationship between velocity and Reynolds stress fluctuations, the modulation effects also play significant roles. Learn more 👇 aippub.org/3HvQH9x

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We present a data assimilation method to infer forcing functions in point-particle models using limited trajectory data, combining adjoint methods and HMC sampling for uncertainty quantification. Learn more 👇 aippub.org/4mPfqFZ

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We’re continuing the conversation — in a new place. AIP Publishing is now posting on Bluesky: @ aip-publishing.bsky.social Follow us there for the latest research🧪