Microscopic Dynamics
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Related Articles from SNS
Multiscale Nudging: From Macroscopic Observations to Microscopic Dynamics
arXiv:2606.06809v1 Announce Type: cross Abstract: We introduce a measure-based nudging framework for assimilating macroscopic observations into microscopic mean-field particle dynamics. The central difficulty is a representation mismatch: the forecast is a labeled particle system, while the observations specify only a smoothed, permutation-invariant density. To address this mismatch, we define the forecast-observation discrepancy as a quadratic functional on probability measures after...
Multiscale Nudging: From Macroscopic Observations to Microscopic Dynamics
arXiv:2606.06809v1 Announce Type: new Abstract: We introduce a measure-based nudging framework for assimilating macroscopic observations into microscopic mean-field particle dynamics. The central difficulty is a representation mismatch: the forecast is a labeled particle system, while the observations specify only a smoothed, permutation-invariant density. To address this mismatch, we define the forecast-observation discrepancy as a quadratic functional on probability measures after applying...
Learning Permutation-invariant Macroscopic Dynamics
Announce Type: new Abstract: Accurately modeling the macroscopic dynamics of high-dimensional microscopic systems is of broad interest across the sciences. Many data-driven approaches learn a low-dimensional latent state through an autoencoder trained for pointwise input reconstruction. These methods typically assume a fixed ordering of microscopic degrees of freedom in the input.
Learning Permutation-invariant Macroscopic Dynamics
Announce Type: cross Abstract: Accurately modeling the macroscopic dynamics of high-dimensional microscopic systems is of broad interest across the sciences. Many data-driven approaches learn a low-dimensional latent state through an autoencoder trained for pointwise input reconstruction. These methods typically assume a fixed ordering of microscopic degrees of freedom in the input.
Generalized flux-weighted boundary walls in kinetic models
Announce Type: replace-cross Abstract: We present a technique to investigate the stationary states of a system of a collisionless system confined by an external potential and coupled to boundary reservoirs through prescribed reinjection rules. We consider a family of boundary conditions parametrized by an integer $n$, corresponding to different velocity distributions imposed at the boundaries, generalizing the standard flux-weighted Maxwellian scheme. By combining Liouville's theorem with...
Generalized flux-weighted boundary walls in kinetic models
arXiv:2604.24592v3 Announce Type: replace-cross Abstract: We present a technique to investigate the stationary states of a system of a collisionless system confined by an external potential and coupled to boundary reservoirs through prescribed reinjection rules. We consider a family of boundary conditions parametrized by an integer $n$, corresponding to different velocity distributions imposed at the boundaries, generalizing the standard flux-weighted Maxwellian scheme. By combining...
Thermal Decoherence and Population Transfer of MeV Channeling Electrons in Diamond
arXiv:2602.16529v2 Announce Type: replace-cross Abstract: Channeling radiation from MeV-regime electrons is governed by transitions between quantized transverse bound states, but experimental spectra are strongly modified by thermal diffuse scattering. To capture these open-system dynamics, a frozen-phonon multislice framework is combined with bound-state projection analysis to construct depth-dependent reduced density matrices in selected transverse manifolds. Beyond reproducing...
Eight metabolic niches reveal how ocean microbes recycle carbon worldwide
Eight metabolic niches reveal how ocean microbes recycle carbon worldwide Stephanie Baum Scientific Editor Robert Egan Associate Editor The ocean is full of invisible workers. Trillions of microbes quietly break down carbon-containing organic matter, which helps to regulate Earth's climate. But scientists have long struggled to understand how different microbes contribute to the process.
Microscopic origin of polytype-dependent melting in SiC revealed by machine-learning molecular dynamics
arXiv:2606.00403v1 Announce Type: cross Abstract: Predicting how crystal structure influences high-temperature stability remains a key challenge in materials modelling and design. Silicon carbide (SiC), one of the most thermally and chemically stable materials known, provides an ideal system for studying this problem because its many polytypes preserve similar local tetrahedral bonding while differing in long-range stacking geometry. Here, we combine phase-coexistence machine-learning...
Charge-Conjugation Violation and Population Asymmetry in Bipartite Fermionic Lattices
Announce Type: cross Abstract: Charge conjugation violation (CCV) is a central concept in particle physics and appears also for quasiparticles in quantum many-body systems, which typically relies on an embedded external symmetry breaking to the underlying system. An open question is how an intrinsic CCV mechanism could emerge and what its macroscopic consequences would be. We establish sublattice kinks in bipartite fermionic lattices as a concrete setup showing intrinsic CCV.