Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Smoothing and spatial verification of global fields
Gregor Skok, Katarina Kosovelj
https://arxiv.org/abs/2412.00936 https://mastoxiv.page/@arXiv_physicsaoph_bot/113587890587543610
- Radiosonde-constrained reconstructions reveal a weakening Northern Hadley circulation
Matic Pikovnik, \v{Z}iga Zaplotnik
https://arxiv.org/abs/2503.05331 https://mastoxiv.page/@arXiv_physicsaoph_bot/114137034331234752
- Non-stationary time series attribution for heatwaves over Europe
Pascal Meurer, Sebastian Buschow, Svenja Szemkus, Petra Friederichs
https://arxiv.org/abs/2601.05841 https://mastoxiv.page/@arXiv_physicsaoph_bot/115881278944409798
- Enabling High-Accuracy Data Assimilation with Limited Ensembles via Machine Learning-Based Covari...
Zhou Yao, Zhilin Li, Li Zhao, Zeng Liu, Zhaokuan Lu, Seungnam Kim, Guangyao Wang
https://arxiv.org/abs/2605.11639 https://mastoxiv.page/@arXiv_physicsaoph_bot/116566237831166337
toXiv_bot_toot
📰 Vielen Dank für Eure #Spenden zur Unterstützung der Technikkosten, um alles am Laufen zu halten. Shoutout an alle #Steady-Förderer! 👍
Es geht los: Die vermaledeiten Amazon-Affiliate-Links werden seit Februar schrittweise gelöscht.
Hier kann man Steady-Mäzen werden:
Will we ever see the shooter again, hear anything about him, or will it be like he hardly existed, like a second page of search results?
The truth itself seems to be in more danger than potus ever was.
#USpol #WHCD
Roger Dooley does not have a Wikipedia page. Which is odd, considering his interesting life.
Spanish galleon San José does have a Wikipedia page on which Dooley is not mentioned. Which is odd, considering Dooley discovered the wreck.
"Neptune's Fortune: The Billion-Dollar Shipwreck and the Ghosts of the Spanish Empire", a most interesting en well-researched book by by Julian Sancton.
Ahh I just noticed that when I import GPX tracks into #wanderer, it creates routes but no activity. That's why my stats page is empty (and as I found it out, I remember that I asked that... A long while ago).
Now I wonder, if I want to import and add the activities for 2026... Doing it retrospectively for 2025 is too much effort to me (with too little value). 🤔
edit_wikibooks: Wikipedia book edits (2010)
Two bipartite user-page networks extracted from Wikipedia, about books. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 960 nodes and 1308 edges.
Tags: Informational, Web graph, Multigraph, Timestamps
Application of the aperiodic defect model to a negatively charged monovacancy in phosphorene
Charlotte Rickert, Lily Barta, Ernst-Christian Flach, Daniel Kats, Denis Usvyat
https://arxiv.org/abs/2603.23761 https://arxiv.org/pdf/2603.23761 https://arxiv.org/html/2603.23761
arXiv:2603.23761v1 Announce Type: new
Abstract: We apply the recently introduced aperiodic defect model (ADM) to a negatively charged monovacancy in a phosphorene monolayer. In contrast to conventional supercell approaches, the ADM treats a single defect embedded in the true non-defective crystalline mean field thereby avoiding spurious defect-defect interactions and the need for charge corrections. At the same time, it effectively reduces the calculation to a fragment, enabling the use of high-level molecular electronic-structure methods. Converging the Hartree-Fock and correlation contributions to the thermodynamic limit yields a benchmark CCSD(T)/POB-TZVP-rev2 formation energy of 0.91 eV for the negatively charged monovacancy in the (5|9) configuration. The excitation energy to the lowest singlet excited state of this defect at the EOM-CCSD/POB-TZVP-rev2 level is found to be 1.95 eV. Overall, the ADM provides a highly promising route towards quantitatively accurate and systematically improvable descriptions of defects in solids and on surfaces, bridging the gap between solid-state physics and molecular quantum chemistry.
toXiv_bot_toot
does anybody happen to know if the results of the #europeana Linked Data Task Force have been published somewhere?
This page here https://pro.europeana.eu/index.php/projec…
Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Photoelectron spectroscopy of 3s3p doubly excited helium dressed with strong near-infrared laser ...
Fushitani, Liu, Ono, Amaike, Yamazaki, Kato, Matsuda, Owada, Yabashi, Hik…
Learning to Emulate Chaos: Adversarial Optimal Transport Regularization
Gabriel Melo, Leonardo Santiago, Peter Y. Lu
https://arxiv.org/abs/2604.21097 https://
Hidden Higher-Order Vulnerabilities in Simplicial Complexes Revealed by Branch-Consistent Functional Robustness
Kaiming Luo
https://arxiv.org/abs/2603.24286 https://arxiv.org/pdf/2603.24286 https://arxiv.org/html/2603.24286
arXiv:2603.24286v1 Announce Type: new
Abstract: Robustness of higher-order networks is often quantified by the instantaneous smallest positive eigenvalue of the Hodge $1$-Laplacian under simplex deletion. We show that this observable is generically ill-defined: along a deletion trajectory, eigenvalue branches can switch, so the quantity being monitored may correspond to different nonharmonic modes at different steps. The primary issue is therefore definitional rather than algorithmic. We resolve it by fixing the first nonharmonic branch of the intact complex and following that same branch throughout the damage process, which defines a branch-consistent functional robustness. Triangle sensitivities then follow directly from first-order perturbation theory, making the resulting mode-sensitive deletion protocol a consequence of the observable itself rather than an independent heuristic. Across synthetic and empirical clique complexes, removing only a small fraction of triangles is sufficient to drive the tracked mode to collapse, while graph-level observables remain unchanged because the $1$-skeleton is exactly preserved. The same framework also reveals bridge-like localization of functionally critical simplices and provides a compact predictor of dynamical timescales.
toXiv_bot_toot
RE: https://mastodon.social/@arstechnica/116618619694373891
“‘To cut and paste page by page, the text from each page would have been an hour’s worth of work, of mindless cutting and pasting. ChatGPT did it in about four seconds.’
To which the obv…
The mediocrity of well-paid people whose only job is to make the line go up is really something to behold.
#KLM #inspirationalUpsellHeader #inspirationalUpsellToggle…
Got myself a native USD scene loader for Godot using the Pixar library.
This is from Robin’s page who need snipped me: https://rystorm.com/blog/usd-example-assets-v1-1
Crosslisted article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling
Rui Wang, Edoardo Pasetto, Amer Delilbasic, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
https://arxiv.org/abs/2605.23403 https://mastoxiv.page/@arXiv_csLG_bot/116634262222667592
toXiv_bot_toot
This account and accounts that I own ( @… , @… ) now have #AltText for both profile picture and header.
Available on Mastodon…
Application of the aperiodic defect model to a negatively charged monovacancy in phosphorene
Charlotte Rickert, Lily Barta, Ernst-Christian Flach, Daniel Kats, Denis Usvyat
https://arxiv.org/abs/2603.23761
[2026-03-26 Thu (UTC), no new articles found for q-bio.PE Populations and Evolution]
toXiv_bot_toot
Replaced article(s) found for math.KT. https://arxiv.org/list/math.KT/new
[1/1]:
- On higher Du Bois singularities and $K$-regularity
Wanchun Shen
https://arxiv.org/abs/2504.12402 https://mastoxiv.page/@arXiv_mathAG_bot/114357763878794264
- Higher Koszul duality and $n$-affineness
James Pascaleff, Emanuele Pavia, Nicol\`o Sibilla
https://arxiv.org/abs/2504.16935 https://mastoxiv.page/@arXiv_mathAG_bot/114397398626428739
- Growth in noncommutative algebras and entropy in derived categories
Dmitri Piontkovski
https://arxiv.org/abs/2604.13373 https://mastoxiv.page/@arXiv_mathRA_bot/116413312400294881
toXiv_bot_toot
Specificity- and Calibration-Aware Breast Ultrasound Segmentation via Entropy-Guided Boundary Supervision
Manar Alsaid, Mandip Shrestha, Mohammad Abbas
https://arxiv.org/abs/2606.22308
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Bright-state source cancellation in dissipative shortcut Raman atom optics
Asad Ali, Saif Al-Kuwari, M. I. Hussain, H. Kuniyil, M. T. Rahim, Saeed Haddadi
Looking at Brom's awesome artworks:
#art
If I visit your web site, read your about page, and it tells me nothing of where you are located, you are doing it wrong.
Today I did that, then clicked on a link to their Instagram page and yup, says "MKE" so they are in my city!
Tell me that on your web site! I want to support local businesses, and share and promote them!
Nonlocal-coupling-based control of coherence resonance in an ensemble of non-excitable oscillators
Aleksey Ryabov, Vladimir V. Semenov
https://arxiv.org/abs/2603.24210 https://arxiv.org/pdf/2603.24210 https://arxiv.org/html/2603.24210
arXiv:2603.24210v1 Announce Type: new
Abstract: It is shown that nonlocal coupling provides for controlling the collective noise-induced dynamics of non-excitable oscillators in the regime of coherence resonance. This effect is demonstrated by means of numerical simulation on an example of coupled generalized Van der Pol oscillators near the saddle-node bifurcation of limit cycles. In particular, it has been established that increasing the coupling radius allows to enhance the effect of coherence resonance which is reflected in the evolution of the dependence of the correlation time on the noise intensity and the power spectrum transformations. Nonlocal coupling is considered as an intermediate option between local and global coupling topologies which are also discussed as a tool for controlling coherence resonance.
toXiv_bot_toot
This story about prediction markets spoiling reality shows is funny because a few years ago a UK bookmaker gave UK newspapers a bullshit story about the friends and family of BBC employees, with inside knowledge, betting on the Bake Off winner. (Which some dutifully ran as a front-page anti-BBC piece.)
The reason you knew it was bullshit is that UK bookmakers don't take bets on events that have already occurred.
Atmosphere as a steam engine
Anastassia Makarieva, Andrei Nefiodov
https://arxiv.org/abs/2605.23875 https://arxiv.org/pdf/2605.23875 https://arxiv.org/html/2605.23875
arXiv:2605.23875v1 Announce Type: new
Abstract: Earth's atmosphere operates a steam cycle in which water vapor evaporates from the surface, expands, condenses, and returns as precipitation. The Clausius-Clapeyron law relates the incremental expansion work of saturated water vapor to latent heat converted at a Carnot efficiency corresponding to the temperature difference between evaporation and condensation. We generalize this relation to an atmospheric column with condensation occurring over a range of heights and derive the expansion work per mole of precipitated water. This includes the gravitational work associated with lifting moist air to the mean condensation height, the expansion work generated by condensation, and a correction for incomplete condensation. Using GPCP v3.3 precipitation and observational constraints on condensation height, we estimate the global steam-engine power as $W_v=4.4\pm0.9$ W/m2, close to an independent estimate of total atmospheric power, $W=W_P W_K\simeq4.3\pm0.6$ W/m2, obtained from the gravitational power of precipitation and kinetic energy generation by horizontal pressure gradients diagnosed from MERRA-2. Kinetic energy generation is $W_K\simeq3.2\pm0.3$ W/m2, of which at least two thirds is generated in the lower atmosphere. The smaller upper-atmospheric contribution, dominated by temperature-related pressure gradients, is comparable to Lorenz available potential energy generation. The agreement between steam-engine and atmospheric power is linked to condensation and precipitation fallout. By removing water from the atmospheric gas phase and enabling column-mass redistribution, precipitation maintains surface pressure gradients that drive cross-isobaric flow in the frictional lower atmosphere. The steam-engine framework thus provides a thermodynamic basis for condensation-induced atmospheric dynamics and identifies a major lower-atmospheric power pathway associated with water phase transitions.
toXiv_bot_toot
Replaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
David Holzm\"uller, Francis Bach
Collisions and Stopping of Fast Charged Particles in Matter
Francesc Salvat
https://arxiv.org/abs/2606.25847 https://arxiv.org/pdf/2606.25847
[2026-03-26 Thu (UTC), 2 new articles found for nlin.AO Adaptation and Self-Organizing Systems]
toXiv_bot_toot
Electronic properties of the Radium-monochalcogenides RaX (X = O,S,Se) and RaO /- ions
Mateo Londo\~no, Jes\'us P\'erez-R\'ios
https://arxiv.org/abs/2603.24590 https://arxiv.org/pdf/2603.24590 https://arxiv.org/html/2603.24590
arXiv:2603.24590v1 Announce Type: new
Abstract: We present a theoretical investigation on the electronic structure and properties of radium monochalcogenides, with chalcogens O, S, and Se, as well as the ionic species RaO /-. Our approach combines fully relativistic and partially relativistic quantum-chemistry methods. Electronic properties are obtained using the exact two-component Hamiltonian-based coupled-cluster approach with single, double, and perturbative triple excitations [CCSD(T) X2C], while potential energy curves are computed using an internally contracted multireference configuration interaction method, including relativistic effects through small-core pseudopotentials and Pauli-Breit operator diagonalization (MRCI Q ECP SO). The dimers exhibit very large permanent dipole moments and sizable dipolar polarizabilities, while the Franck-Condon factors among the lowest electronic states are highly non-diagonal. These features are discussed in terms of the divalent character of the chemical bonding in the neutral species.
toXiv_bot_toot
The physics of AI weather models
George Craig, Tobias Selz, Matthias Beylich, Kirsten I. Tempest
https://arxiv.org/abs/2605.23778 https://arxiv.org/pdf/2605.23778 https://arxiv.org/html/2605.23778
arXiv:2605.23778v1 Announce Type: new
Abstract: Could it be that AI weather models are solving physical equations, although they may not be the equations used by conventional NWP models? We compute correlations of forecast skill and Centered Kernel Alignment, providing evidence that different AI weather models represent the atmosphere in similar ways, despite differences in architecture and capacity. We argue that the architecture and training of the AI models constrains the form of the physical laws that they might simulate. In particular, we propose that the models implement a particle description of the atmosphere, where the latent variables at each mesh point correspond to the position of a particle in the high dimensional latent space. We hypothesize that the movement of the particles follows a gradient flow in the latent space towards a minimum of a learned free energy functional. Analysis of the GraphCast and Aurora models show that they make changes on large spatial scales in the early processor layers and move to smaller scale with increasing layer depth, consistent with the gradient flow hypothesis.
toXiv_bot_toot
Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction
Efe Il{\i}cak, Baris Imre, Chlo\'e Najac, Ruben van den Broek, Beatrice Lena, Andrew Webb, Marius Staring
https://arxiv.org/abs/2606.21602
Crosslisted article(s) found for math.KT. https://arxiv.org/list/math.KT/new
[1/1]:
- A cellular (co)homology computation for $\overline{M_{0,n}}$
Jan Hennig
https://arxiv.org/abs/2606.21272 https://mastoxiv.page/@arXiv_mathAG_bot/116798325485424686
- Non-commutative calculus and Getzler-Gauss-Manin connections for Open-closed Homotopy Algebras
Zekai Yu
https://arxiv.org/abs/2606.21462 https://mastoxiv.page/@arXiv_mathQA_bot/116798334952303903
toXiv_bot_toot
Quantum statistics on atom-ion Feshbach resonances
Joachim Siemund, Fabian Thielemann, Jonathan Grieshaber, Wei Wu, Patrick Mullan, Panagiotis Giannakeas, Krzysztof Jachymski, Tobias Schaetz
https://arxiv.org/abs/2606.26995
Precipitation diffusion downscaling and application to out-of-distribution simulations with and without stratospheric aerosol injection
Cameron Dong, James W. Hurrell, Elizabeth A. Barnes
https://arxiv.org/abs/2605.23776 https://arxiv.org/pdf/2605.23776 https://arxiv.org/html/2605.23776
arXiv:2605.23776v1 Announce Type: new
Abstract: Stratospheric aerosol injection (SAI), a possible climate engineering strategy where reflective particles are injected into the stratosphere, has been explored to mitigate global warming and its associated risks, such as the intensification of extreme precipitation events. However, current Earth system models (ESMs) often used to simulate SAI and other climate change scenarios are too coarse to properly assess such risks. Traditional statistical downscaling methods, used to project higher resolution impacts, may be biased and unrealistic. To address this, we train a deep learning diffusion downscaler to generate 0.25{\deg} contiguous United States (CONUS) daily precipitation using historical and future climate simulations from the Mesoscale Atmosphere-Ocean Interaction in Seasonal-to-Decadal Climate Prediction (MESACLIP) project, then apply the diffusion downscaler to out-of-distribution CESM2 simulations with and without SAI. The diffusion model generates realistic downscaled precipitation using either MESACLIP or CESM2 inputs. It also faithfully recreates the climate change projections of extreme precipitation in MESACLIP. Diffusion-downscaled projections of the future CESM2 SAI scenarios suggest that SAI could nearly cut in half the CONUS-average increase in yearly max precipitation, compared to the non-SAI scenario. However, there is considerable regional variation and internal variability, with SAI modeled to only slightly reduce increases in extreme precipitation frequency in the Mid Atlantic and the Pacific Northwest, but mitigating most intensification in other regions. Future application of diffusion downscaling to a wider variety of SAI scenarios would provide valuable insight into how proposed SAI strategies may affect precipitation variability on fine spatial scales for regional impact assessments.
toXiv_bot_toot
Crosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Regime-Calibrated Demand Priors for Ride-Hailing Fleet Dispatch and Repositioning
Indar Kumar, Akanksha Tiwari
Orientation Reconstruction of Proteins using Coulomb Explosions
Tomas Andr\'e, Alfredo Bellisario, Nicusor Timneanu, Carl Caleman
https://arxiv.org/abs/2603.24553 https://arxiv.org/pdf/2603.24553 https://arxiv.org/html/2603.24553
arXiv:2603.24553v1 Announce Type: new
Abstract: We solve the orientation recovery of a tumbling protein in the gas phase from single-event measurements of the spatial positions of its ions after an X-ray laser induced explosion. We simulate diffracted X-ray signal and ion dynamics under experimental conditions and compare our method to conventional orientation recovery in single-particle imaging with X-ray free-electron lasers using only diffraction data. We reconstruct 3D diffraction intensities using orientations recovered from the ion signatures and retrieve the electron density with established phase-retrieval algorithms. We test our orientation recovery procedure on 56 proteins ranging from 14 to 52 kDa (1800 to 6500 atoms), achieving roughly an angular error of around 5{\deg}. The resulting 3D electron-density reconstructions are compared to ground-truth volumes simulated at the same nominal resolution, and achieve the resolution at the edge of the detector in conditions similar to current single-particle imaging setups. We investigate the reconstruction quality and demonstrate that ion data can be used for reliable orientation recovery of particles in single-particle imaging, achieving orientation on par or better than currently used recovery techniques. This work shows the potential of ion detection for retrieving additional information from the sample fragmentation, and boost single particle imaging with X-ray lasers in the cases where the diffraction signal is a limiting factor.
toXiv_bot_toot
Infinite-time surface flux for full-dimensional three-body breakup dynamics
Jinzhen Zhu
https://arxiv.org/abs/2606.26178 https://arxiv.org/pdf/2606.26178…
A Skin-Tone-Aware Dual-Representation Remote Photoplethysmography Framework for Contactless Respiratory Rate Estimation
Trishna Saikia, Anup Kumar Gupta, Puneet Gupta, Pasi Liljeberg
https://arxiv.org/abs/2606.21511
Two-dimensional IR-Raman spectroscopy of vibrational polaritons: Role of dipole surfaces
Xinwei Ji, Tomislav Begusic, Tao E. Li
https://arxiv.org/abs/2603.24521 https://arxiv.org/pdf/2603.24521 https://arxiv.org/html/2603.24521
arXiv:2603.24521v1 Announce Type: new
Abstract: Nonlinear spectroscopy provides a unique perspective to understand time-resolved molecular dynamics under vibrational strong coupling (VSC). Herein, equilibrium-nonequilibrium cavity molecular dynamics simulations are performed to compute the two-dimensional (2D) infrared-infrared-Raman (IIR) spectroscopy of liquid water under VSC. In conventional computational chemistry practices, accurate molecular spectra are often constructed by using an advanced molecular dipole or polarizability model to post-process molecular dynamics trajectories evolved under a computationally efficient potential. By contrast, this work highlights the necessity of employing a consistent dipole surface model in both CavMD simulations and spectroscopic post-processing. While utilizing inconsistent dipole models only mildly influences the linear polariton spectrum, it severely distorts 2D spectra in wide frequency regions. With a consistent dipole-induced-dipole model, compared to the outside-cavity molecular 2D-IIR spectrum, the cavity 2D-IIR spectrum splits the OH stretch band to a pair of polariton branches along only the IR (not Raman) axis, while fading molecular signals at other frequency regions. This work provides the foundation for employing direct CavMD simulations to construct 2D spectra of realistic molecules under VSC.
toXiv_bot_toot
Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models: An Empirical Study using Environmental and Visual Predictors
Sherly Alfonso-S\'anchez, Cristi\'an Bravo, Kristina G. Stankova
https://arxiv.org/abs/2604.21893
[2026-06-26 Fri (UTC), 2 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Restoring missing low scattering angle data in two-dimensional diffraction patterns of isolated molecules
Yanwei Xiong, Martin Centurion
https://arxiv.org/abs/2603.24334 https://arxiv.org/pdf/2603.24334 https://arxiv.org/html/2603.24334
arXiv:2603.24334v1 Announce Type: new
Abstract: Anisotropic two-dimensional diffraction signals contain more information than the conventional isotropic signals for both gas phase ultrafast electron and X-ray diffraction experiments and are common in typical time-resolved diffraction experiments due to the use of linearly polarized lasers to excite the sample that imprints spatial anisotropy on the molecules. We report an iterative algorithm to restore the missing data at low scattering angles in a two-dimensional diffraction signal, which is essential to obtain real-space representation. The iterative algorithm transforms two-dimensional signals back and forth between the momentum transfer domain and the real space domain through Fourier and Abel transforms and apply real space constraints to retrieve missing signal at low scattering angles. The algorithm only requires an approximate a-priori knowledge of the shortest and longest internuclear distances in the molecule. We demonstrated successful retrieval of the missing signal in simulated patterns and in experimentally measured diffraction patterns from laser-induced alignment of trifluoroiodomethane molecules.
toXiv_bot_toot
Lagged sea-surface-temperature precursors of the leading PM2.5 mode in China
Yuan Chen, Dan Zhao, Xu Li
https://arxiv.org/abs/2605.25436 https://arxiv.org/pdf/2605.25436 https://arxiv.org/html/2605.25436
arXiv:2605.25436v1 Announce Type: new
Abstract: Fine particulate matter(PM2.5) pollution in China is strongly modulated bymeteorological variability, yet its seasonal predictability from oceanic signals remains unclear. Here we identify the leading PM2.5 variability mode over China and show that it is preceded by coherent sea-surface-temperature anomaly clusters by more than one season. These oceanic precursors influence summer PM2.5 mainly by altering precipitation and lowlevel ventilation, and winter PM2.5 by modulating boundary-layer height and near-surface stagnation. Using the four largest precursor regions, a simple regression model achieves significant independent prediction skill for both summer and winter PM2.5 variability. Our results reveal a physical pathway linking sea-surface-temperature memory to regional aerosol pollution and provide a basis for seasonal air-quality risk assessment.
toXiv_bot_toot
Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions
Di Wu, Ling Liang, Haizhao Yang
https://arxiv.org/abs/2604.21849
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Scattering theory for cavity-assisted spin-motion-photon interactions
Seigo Kikura, Aruku Senoo, Akihisa Goban, Shinichi Sunami
Collective Electronic Polarization Drives Charge Asymmetry at Oil-Water Interfaces
Gabriele Amante, Klaudia Mrazikova, Gabriele Centi, Sylvie Roke, Ali Hassanali, Giuseppe Cassone
https://arxiv.org/abs/2603.24142 https://arxiv.org/pdf/2603.24142 https://arxiv.org/html/2603.24142
arXiv:2603.24142v1 Announce Type: new
Abstract: Why kinetically stable oil droplets in water spontaneously acquire a negative charge remains one of the most vigorously debated questions in interfacial science. Here, we combine neural-network based deep potential molecular dynamics with a data-driven and information theory approach to probe the real-space electron density at an extended decane-water interface. While decane-water clusters show nearly symmetric forward and backward charge transfer (CT) and thus negligible net CT, the extended interface displays a systematic electronic asymmetry, yielding a net CT from water to the hydrocarbon phase producing an average surface charge density of $\sim0.006~e^{-}\,\mathrm{nm}^{-2}$ on the oil phase. This imbalance is accompanied by much larger intra-phase self-polarization, particularly within the hydrocarbon phase, demonstrating that collective many-body polarization dominates the interfacial electronic response. Structural analysis reveals an asymmetry between forward C--H$\cdots$O and backward O--H$\cdots$C motifs, providing a microscopic origin for a net CT from one phase to the other. Curiously, both the water O--H and decane C--H covalent bonds incur subtle contractions which originate from a response to the charge-separation layers at the interface. These features are fully consistent with the weak improper hydrogen-bonds forming at the oil-water interface that results in blue-shifts of the C-H modes.
toXiv_bot_toot
JAX-SCM v1.0: a modern atmospheric single-column model for boundary layer research
Maximilian Pierzyna
https://arxiv.org/abs/2605.24544 https://arxiv.org/pdf/2605.24544 https://arxiv.org/html/2605.24544
arXiv:2605.24544v1 Announce Type: new
Abstract: We present JAX-SCM v1.0, an open-source atmospheric single-column model for boundary layer research, implemented in Python using the JAX computing library. The model solves for horizontal wind, potential temperature, and specific humidity, combined with prognostic turbulent kinetic energy and turbulent statistics parameterized by the Mellor-Yamada-Nakanishi-Niino level-2.5 (MYNN-2.5) turbulence closure. We verify the implementation against three well-established benchmark cases covering neutral (turbulent Ekman layer), stable (GABLS1), and convective (Wangara Day 33) conditions. Close agreement with reference solutions is demonstrated across all regimes. By building on JAX, the model benefits from just-in-time compilation and native GPU support. While JAX-SCM is not yet fully differentiable, basing it on JAX also lays the foundation for future integration with machine learning components. The model is designed for simplicity and modularity, lowering the barrier to entry for users and developers alike.
toXiv_bot_toot
There Will Be a Scientific Theory of Deep Learning
Jamie Simon, Daniel Kunin, Alexander Atanasov, Enric Boix-Adser\`a, Blake Bordelon, Jeremy Cohen, Nikhil Ghosh, Florentin Guth, Arthur Jacot, Mason Kamb, Dhruva Karkada, Eric J. Michaud, Berkan Ottlik, Joseph Turnbull
https://arxiv.org/abs/2604.21691…
Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Continuous operation of a coherent 3,000-qubit system
Neng-Chun Chiu, et al.
Spectral convergence of sum-of-Gaussians tensor neural networks for many-electron Schr\"odinger equation
Teng Wu, Qi Zhou, Huangjie Zheng, Hehu Xie, Zhenli Xu
https://arxiv.org/abs/2603.23897 https://arxiv.org/pdf/2603.23897 https://arxiv.org/html/2603.23897
arXiv:2603.23897v1 Announce Type: new
Abstract: We present an improved version of the sum-of-Gaussians tensor neural network (SOG-TNN) architecture for solving many-electron Schr\"{o}dinger equation for one-dimensional soft-Coulomb systems. Model reduction techniques are introduced to reduce the number of tensor-factorized bases under the SOG approximation of the kernel. The Slater determinant ansatz is employed so that the anti-symmetric property of the wave function can be strictly preserved. Numerical results show that the SOG-TNN achieves high accuracy with remarkably small basis sizes. Robust spectral convergence with respect to the basis size is also observed, consistently characterized by a mixed algebraic-exponential model for the error decay. These findings validate that the SOG-TNN architecture provides an ultra-efficient and low-rank representation of complex multi-electron wave functions, shedding light on high-fidelity quantum calculations in larger-scale many-electron systems.
toXiv_bot_toot
Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers
Minghui Qiu, Jun Chen, Lin Chen, Weifeng Chen, Shuxin Zhong, Zhidan Liu, Yu Zhang, Kaishun Wu
https://arxiv.org/abs/2605.24067 https://arxiv.org/pdf/2605.24067 https://arxiv.org/html/2605.24067
arXiv:2605.24067v1 Announce Type: new
Abstract: Most nowcasting systems, built on radar reflectivity, focus on current precipitation, ignoring the atmospheric precursors -- such as low-level convergence, turbulent eddies, and latent heating -- that offer a fleeting window to foresee storm birth. We introduce MeteoLogist, a physics-inspired radar intelligence framework that models the full life cycle of convection -- from its precursors to organized storm evolution. However, exploiting these precursors is non-trivial: they originate from multiple meteorological drivers -- thermodynamic, kinematic, and microphysical -- that evolve asynchronously (C1) and remain spatially fragmented (C2). To this end, MeteoLogist designs three tightly integrated components. The Physics-Tailored Encoders process radar echoes according to their intrinsic physical scales and semantics, forming thermodynamic, kinematic, and microphysical streams that capture distinct dynamical regimes. The Temporal-Phase Aligner addresses C1 by leveraging causal temporal attention to capture when and how different drivers interact and activate. The Cross-Field Spatial Aggregator addresses C2 through cross-regional fusion, aligning weak and scattered precursors across neighboring cells to expose upstream triggers and enforce spatial coherence. Evaluated on 3D-NEXRAD (2020--2022, US-wide), MeteoLogist boosts high-impact detection (CSI40) by 9.7% over strong baselines, and achieves a remarkable 37.67% gain during the storm-developing stage -- demonstrating true foresight in sensing storms before they appear. The code can be found in the supplementary material.
toXiv_bot_toot
Large Language Model-Assisted Cleaning of Report-Derived Labels in a Large-Scale Chest CT Dataset
Yosuke Yamagishi, Atsushi Takamatsu, Mototsugu Sato, Tomohiro Kikuchi, Shouhei Hanaoka, Takeharu Yoshikawa, Osamu Abe
https://arxiv.org/abs/2606.22382
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Weak wave turbulence as a precursor to universal coarsening in a homogeneous Bose gas
Fischer, Gazo, Morris, Maslov, Zhang, Etrych, Martirosyan, Eigen, Hadzibabic
Electronic properties of the Radium-monochalcogenides RaX (X = O,S,Se) and RaO /- ions
Mateo Londo\~no, Jes\'us P\'erez-R\'ios
https://arxiv.org/abs/2603.24590 https…
A Kernel Nonconformity Score for Multivariate Conformal Prediction
Louis Meyer, Wenkai Xu
https://arxiv.org/abs/2604.21595 https://arxiv.org/pdf/2604.21595…
Volador 1.0: A Data-Driven Air-Sea Full-Coupling Regional Forecast Model with Submesoscale-Permitting Based on MOE-Swin-Transformer Framework
Yuhang Zhu, Jianxin Wang, Yu-kun Qian, Yineng Li, Yahui Liu, Yankun Gong, Shilin Tang, Shiqiu Peng, Tao Song
https://arxiv.org/abs/2605.24032 https://arxiv.org/pdf/2605.24032 https://arxiv.org/html/2605.24032
arXiv:2605.24032v1 Announce Type: new
Abstract: A data-driven air-sea full-coupling regional forecast model with submesoscale-permitting, named "Volador 1.0", is developed for the South China Sea (SCS). The model features a Swin-Transformer framework integrated with a Mixture-of-Experts (MoE) system, a latent space interaction architecture based on Cross-Grid Bidirectional Cross-Attention, and a fast-slow dual-branch architecture. Both the three-month hindcast test and the 15-day operational real-time forecasting demonstrate that Volador 1.0 has a very encouraging and promising performance in 0-72h forecasting of temperature and salinity in the 0-500m upper ocean as well as the sea surface height with root-mean-square-error (RMSE) or mean absolute error (MAE) smaller than or at least comparable to those from the reanalysis datasets REDOS V2.0 and GLORYS12 and the state-of-the-art regional numerical model Regional Ocean Modeling System (ROMS). In particular, Volador 1.0 demonstrates its capability of capturing/forecasting submesoscale processes including internal waves, with an energy spectrum well representing sub- to mesoscale energy cascade as expected by the classical turbulence theory. Further analysis based on ablation experiments shows that the air-sea full-coupling framework, which takes into account the dynamic exchanges of momentum and heat fluxes between the atmosphere and the ocean, indeed helps improve the model's performance compared to the non-full-coupling one. Volador 1.0, though still subject to refinement in the coming future with a large space for improvement, blazes a path for an accurate, fine and fast marine environment forecasting, and thus could help promote our capability of disaster prevention and mitigation in the SCS as well as in other coastal regions where these innovative techniques can be applied.
toXiv_bot_toot
Orientation Reconstruction of Proteins using Coulomb Explosions
Tomas Andr\'e, Alfredo Bellisario, Nicusor Timneanu, Carl Caleman
https://arxiv.org/abs/2603.24553 https://…
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Non-equilibrium pathway to mesoscale ordering in ethanol-water binary liquid
Xinyue Jiang, Yating Shang, Jianhui Li, Zhaoyong Zou, Yanxia Zuo, Yuqun Xie
A single algorithm for both restless and rested rotting bandits
Julien Seznec, Pierre M\'enard, Alessandro Lazaric, Michal Valko
https://arxiv.org/abs/2604.21432 https://
Improving Ensemble CAPE Forecasts with a Diffusion Model Incorporating Aerosol Information
Zachary James, Joseph Guinness, Arthur DeGaetano
https://arxiv.org/abs/2605.24009 https://arxiv.org/pdf/2605.24009 https://arxiv.org/html/2605.24009
arXiv:2605.24009v1 Announce Type: new
Abstract: Convective available potential energy (CAPE) is an important variable for forecasting severe weather and understanding deep convection and precipitation. The latest versions of the Global Forecast System (GFS) and related Global Ensemble Forecast System (GEFS) have exhibited a bias towards underestimating CAPE values during the summertime. We train an artificial intelligence (AI) diffusion model to improve the skill and uncertainty quantification of afternoon 6-hour lead time ensemble forecasts over the United States. Our model takes a GFS CAPE forecast as input and outputs an ensemble that significantly outperforms both GFS and GEFS 6-hour forecasts on root mean square error, continuous ranked probability score, and Brier score. We propose a two-stage training pipeline to leverage both a larger historical GFS forecast dataset and a smaller historical GEFS dataset, despite the two using initialization and parameterization schemes that vary over time. We also show that classifier-free guidance can be used to control the skill and spread of the forecasts. We then demonstrate the versatility of our framework by adding aerosol optical depths (AODs) of black carbon, organic carbon, dust, sea salt, and sulfates as additional input features. Aerosols can invigorate or suppress convection depending on atmospheric conditions. Our AI models effectively incorporate aerosols to produce improved CAPE forecasts. We interpret the model components by using permutation feature importance to rank the influence of the different AODs and find that black carbon, organic carbon, and sulfate aerosols have a greater impact on the model's CAPE predictions than sea salt and dust aerosols.
toXiv_bot_toot
ZeroGVC: Zero-Shot Generative Video Compression with Autoregressive Diffusion Priors
Yixin Gao, Xiaohan Pan, Lin Liu, Xin Li, Zhibo Chen, Qi Tian
https://arxiv.org/abs/2606.22371
Two-dimensional IR-Raman spectroscopy of vibrational polaritons: Role of dipole surfaces
Xinwei Ji, Tomislav Begusic, Tao E. Li
https://arxiv.org/abs/2603.24521 https://
Self-calibrated multiparameter measurement of three-dimensional microwave fields
Yupeng Wang, Xinghan Wang, Aishik Panja, Md. Ehsanuzzaman, Chuan-Hsun Li, Qi-Yu Liang
https://arxiv.org/abs/2605.26098
CLT-Optimal Parameter Error Bounds for Linear System Identification
Yichen Zhou, Stephen Tu
https://arxiv.org/abs/2604.21270 https://arxiv.org/pdf/2604.212…
Quantification of atmospheric carbon dioxide from the Geostationary Operational Environmental Satellite (GOES East)
Aaron Sonabend-W, Sean Campbell, John Platt, Christopher Van Arsdale, Anna M. Michalak
https://arxiv.org/abs/2605.23991 https://arxiv.org/pdf/2605.23991 https://arxiv.org/html/2605.23991
arXiv:2605.23991v1 Announce Type: new
Abstract: There is a growing urgency to track greenhouse gasses with the resolution, precision and accuracy needed to support independent verification of $CO_2$ fluxes at local to global scales. The current generation of space-based sensors, however, only provides sparse observations in space and time. This challenge has fueled interest in the potential use of data from existing missions originally developed for other applications for inferring global greenhouse gas variability. The Advanced Baseline Imager (ABI) onboard the Geostationary Operational Environmental Satellite (GOES-East), operational since 2017, provides full coverage of much of the western hemisphere at 10-minute intervals from geostationary orbit at 16 wavelengths at an approximately 2$km^2$ spatial resolution. Here, we leverage this high spatial coverage and temporal revisit to develop a single-pixel, physics-guided neural network to estimate dry-air column $CO_2$ mole fraction ($XCO_2$). The model employs a time series of GOES-East's 16 spectral bands, ECMWF ERA5 lower tropospheric meteorology, MODIS surface reflectance, solar and satellite viewing geometry, and day of year. Training used collocated GOES-East and OCO-2/OCO-3 observations. We also present case studies illustrating the use of the model to observe $XCO_2$ enhancements over urban areas and drawdown over agricultural regions. Overall, while the precision of GOES-East derived $XCO_2$ can never rival that of dedicated instruments, the unprecedented combination of contiguous geographic coverage, 10-minute temporal frequency, and multi-year record offers the potential to observe aspects of atmospheric $CO_2$ variability currently unseen from space.
toXiv_bot_toot
Restoring missing low scattering angle data in two-dimensional diffraction patterns of isolated molecules
Yanwei Xiong, Martin Centurion
https://arxiv.org/abs/2603.24334 https:/…
From Vintage Mythology to Topological Physics: Unveiling a Universal Structural Attractor in Alcoholic Beverage Aging
Xinyue Jiang, Heng Yang, Zhiyin Jiu, Youxi Luo, Lin Chen, Yuqun Xie
https://arxiv.org/abs/2605.25472
[2026-05-26 Tue (UTC), 6 new articles found for physics.ao-ph Atmospheric and Oceanic Physics]
toXiv_bot_toot
Collective Electronic Polarization Drives Charge Asymmetry at Oil-Water Interfaces
Gabriele Amante, Klaudia Mrazikova, Gabriele Centi, Sylvie Roke, Ali Hassanali, Giuseppe Cassone
https://arxiv.org/abs/2603.24142
Calibeating Prediction-Powered Inference
Lars van der Laan, Mark Van Der Laan
https://arxiv.org/abs/2604.21260 https://arxiv.org/pdf/2604.21260
FPGA-based disturbance-observer servo for broadband noise suppression in laser frequency stabilization
Meung Ho Seo, Jae Hoon Lee, Young-Ho Park, Hyun-Gue Hong, Seji Kang, Myoung-Sun Heo, Sang-Bum Lee, Taeg Yong Kwon, Sangwon Seo, Sang Eon Park
https://arxiv.org/abs/2605.25471
[2026-05-25 Mon (UTC), 3 new articles found for physics.ao-ph Atmospheric and Oceanic Physics]
toXiv_bot_toot
Spectral convergence of sum-of-Gaussians tensor neural networks for many-electron Schr\"odinger equation
Teng Wu, Qi Zhou, Huangjie Zheng, Hehu Xie, Zhenli Xu
https://arxiv.org/abs/2603.23897
The Pseudospectral Method for the Dirac Equation with Confining Potential
Dengshan Liu, Huihui Xie, Pengxiang Du, Jian Li, Tomoya Naito
https://arxiv.org/abs/2605.25390 https://…
Refining Covariance Matrix Estimation in Stochastic Gradient Descent Through Bias Reduction
Ziyang Wei, Wanrong Zhu, Jingyang Lyu, Wei Biao Wu
https://arxiv.org/abs/2604.21203 h…
Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Smoothing and spatial verification of global fields
Gregor Skok, Katarina Kosovelj
Minimally Destructive Fast Imaging of Single Atoms in an Optical Tweezer Array with Coherent Excitation
Rei Yokoyama, Takumi Kashimoto, Kosuke Shibata, Yuki Kawamura, Toshi Kusano, Chih-Han Yeh, Reiji Asano, Yuma Nakamura, Tetsushi Takano, Yosuke Takasu, Yoshiro Takahashi
https://arxiv.org/abs/2605.24175
Achieving the Kesten-Stigum bound in the non-uniform hypergraph stochastic block model
Manuel Fernandez V, Ludovic Stephan, Yizhe Zhu
https://arxiv.org/abs/2604.20907 https://…
Crosslisted article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling
Rui Wang, Edoardo Pasetto, Amer Delilbasic, Morris Riedel, Kristel Michielsen, Gabriele Cav…
[2026-05-26 Tue (UTC), 5 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Atmosphere as a steam engine
Anastassia Makarieva, Andrei Nefiodov
https://arxiv.org/abs/2605.23875 https://arxiv.org/pdf/2605.23875
Molecular effects in low-energy muon transfer from muonic hydrogen to oxygen
I. Boradjiev, A. Adamczak, D. Bakalov, M. Baruzzo, R. Benocci, M. Bonesini, S. Capra, E. Christova, M. Clemenza, M. Danailov, P. Danev, E. Fasci, L. Gianfrani, A. D. Hillier, K. Ishida, A. Menegolli, E. Mocchiutti, S. Monzani, L. Moretti, C. Pizzolotto, R. Rossini, A. Sbrizzi, M. Stoilov, H. S. Tonchev, A. Vacchi, E. Vallazza, K. Yokoyama
The physics of AI weather models
George Craig, Tobias Selz, Matthias Beylich, Kirsten I. Tempest
https://arxiv.org/abs/2605.23778 https://arxiv.org/pdf/260…
Very sensitive vapor-cell quasi-DC atomic E-field sensor
Amy Damitz, George Burns, Yuan-Yu Jau
https://arxiv.org/abs/2603.23751 https://arxiv.org/pdf/2603.…
Precipitation diffusion downscaling and application to out-of-distribution simulations with and without stratospheric aerosol injection
Cameron Dong, James W. Hurrell, Elizabeth A. Barnes
https://arxiv.org/abs/2605.23776
[2026-03-26 Thu (UTC), 2 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Replaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Accumulated Aggregated D-Optimal Designs for Estimating Main Effects in Black-Box Models
Chih-Yu Chang, Ming-Chung Chang
Crosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints
Konstantinos Ziliaskopoulos, Alexander Vinel
Geometric Renyi Differential Privacy: Ricci Curvature Characterized by Heat Diffusion Mechanisms
Xiaotian Chang, Yangdi Jiang, Cyrus Mostajeran, Qirui Hu
https://arxiv.org/abs/2604.20761
Crosslisted article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Tracking water vapor homogeneous nucleation and droplet growth with spectroscopy and holography i...
Sagan, Pokrifka, Koblensky, Erinin, Ahmed, Jeevanjee, Deike, Weichman
https://arxiv.org/abs/2605.21509 https://mastoxiv.page/@arXiv_physicsfludyn_bot/116617117965034154
- Microwave-Stimulated Serpentinization of Olivine for Geological Hydrogen Production
Ansan Pokharel, Terence Musho
https://arxiv.org/abs/2605.21790 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116617123666857714
- Decomposing Ensemble Spread in Lorenz '96 With Learned Stochastic Parameterizations
Birgit K\"uhbacher, Daan Crommelin, Niki Kilbertus
https://arxiv.org/abs/2605.22242
- Variation of Venusian Gravity Wave Absolute Momentum Fluxes and Drag as Retrieved from the Akatsu...
Erdal Yi\u{g}it, Emilia Sloan
https://arxiv.org/abs/2605.22793 https://mastoxiv.page/@arXiv_astrophEP_bot/116617171444138000
toXiv_bot_toot
Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- An Al$^ $ clock with $1.6\times10^{-18}$ systematic uncertainty and its frequency ratios
Fabian Dawel, et al.
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Ground-State Energy Solutions of the Lithium Atom: Zeroth-, First-, and Second-Order Perturbation...
Mahboubi, Zolmaz, Karayer, \c{S}ay, Kaya, Senol
Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- The Origin of the Dynamical Quantum Non-locality
Cesar E. Pachon, Leonardo A. Pachon
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Magnetic-field control of interactions in alkaline-earth Rydberg atoms and applications to {\it X...
Masaya Kunimi, Takafumi Tomita
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