According to a 927-page document released on Tuesday by the US Office of Government Ethics,
in all, the US president made more than $2.2 billion last year.
He benefited from a vast global network of investments and businesses that range from real estate and golf courses to royalty deals and Trump-branded products such as cologne.
He also took tens of millions of dollars in court settlements.
In his second term, the president and his family have invested heavily in dig…
Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Walking on Spheres and Talking to Neighbors: Variance Reduction for Laplace's Equation
Michael Czekanski, Benjamin Faber, Margaret Fairborn, Adelle Wright, David Bindel
https://arxiv.org/abs/2404.17692 https://mastoxiv.page/@arXiv_physicscompph_bot/112358997081867258
- From Experiments to Expertise: Scientific Knowledge Consolidation for AI-Driven Computational Phy...
Haonan Huang
https://arxiv.org/abs/2603.13191 https://mastoxiv.page/@arXiv_physicscompph_bot/116237798566267809
- Grounded autonomous scrutiny at scale: emergent critique from reproduction of published computati...
Haonan Huang
https://arxiv.org/abs/2604.12198 https://mastoxiv.page/@arXiv_physicscompph_bot/116407633668438262
- libwignernj: a reusable C/C /Fortran/Python library for exact Wigner symbols and related coeffic...
Susi Lehtola
https://arxiv.org/abs/2605.06634 https://mastoxiv.page/@arXiv_physicscompph_bot/116537877078468610
- An Overview of Relativistic Particle Pushers and their Extension to Arbitrary Order Accuracy
Holger Schmitz
https://arxiv.org/abs/2603.06509 https://mastoxiv.page/@arXiv_physicsplasmph_bot/116198419420211577
- paces: Parallelized Application of Co-Evolving Subspaces, a method for computing quantum dynamics...
R. Kevin Kessing
https://arxiv.org/abs/2603.07341 https://mastoxiv.page/@arXiv_quantph_bot/116204568573959976
- Topology of Plasma Wakefields Driven by Two Color Laguerre Gaussian Laser Pulses
Saumya Singh, Dinkar Mishra, Shivani Aggarwal, Bhupesh Kumar, Pallavi Jha
https://arxiv.org/abs/2605.18336 https://mastoxiv.page/@arXiv_physicsplasmph_bot/116600306625433164
- Resolved Anderson localization of light in dense three-dimensional dielectric disorder
Yevgen Grynko, Jens F\"orstner
https://arxiv.org/abs/2605.25098 https://mastoxiv.page/@arXiv_physicsoptics_bot/116639935317087700
- A Reproducible Benchmark and Evidence-Retrieval Software Framework for Silicon Detector R&D Liter...
Tianqi Gao, Ruobing Jiang, Dawei Fu, Qiang Li, Matthew Kenzie
https://arxiv.org/abs/2606.24725
- Probing Light-Matter Interaction with Topological Data Analysis
Timothy Holt, Maxim Goryachev, Jeremy Bourhill
https://arxiv.org/abs/2606.30007 https://mastoxiv.page/@arXiv_physicsappph_bot/116837978382710147
toXiv_bot_toot
Adding files to notes in @… is now live! Now I'm adding bulk editing. So many new features. I can't wait to write about them.
📰 Es ist wichtig, gut informiert zu sein – damit wir Entwicklungen und Erfordernisse zu #Klimaanpassung, #Energiewende und #Gesundheitsschutz verstehen und erkennen, wenn uns
So the Gen 2 ME file system supported page sizes of 0x4000 (i.e. 16K, I figured that from a look at samples), but also 0x10000 (64K), now that I'm analyzing the implementation. :)
🔒 Local & private by default — no cloud service, no model API calls, no API keys, and it never writes into your source repos. Includes local docs, man-page generation & signed self-upgrades
https://github.com/ctxrs/ctx
[2026-07-03 Fri (UTC), 3 new articles found for physics.geo-ph Geophysics]
toXiv_bot_toot
@… I might have run into a bug in #BSSG. I have assigned image in the frontmatter, and they render on the first page and on the single post page, but fail to render from page 2 onward.
For example,
[2026-07-03 Fri (UTC), 2 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
The July LevelUp is here. Not much news this month. Just a sincere thank you to the readers who spend 5–10 minutes a month reading my stuff and keep the conversation going offline and in my inbox.
http://www-gem.codeberg.page/monthly/monthly_0726/
Crosslisted article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Hybrid Two-Level Transport Method with Solution Decomposition in Macro and Micro Components
Caleb A. Shaw, Dmitriy Y. Anistratov
https://arxiv.org/abs/2607.01346 https://mastoxiv.page/@arXiv_mathNA_bot/116854910030264363
- Predicting Novel Stable Materials for Experimental Synthesis
Yuqi An, Sihong Zhu, Joseph Montoya, Xingyu Guo, Zhenbin Wang
https://arxiv.org/abs/2607.01713 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116854978846171607
- An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks
Joseph Webb, Sadok Jerad, Coralia Cartis
https://arxiv.org/abs/2607.02194 https://mastoxiv.page/@arXiv_csLG_bot/116855143607520453
- Efficient Large-Scale STEM-EELS Simulations With Torched-TACAW
Martin Osmera, Jo\~ao Vaz, Paul M. Zeiger, J\'an Rusz
https://arxiv.org/abs/2607.02236 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116855081674592173
- Grounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier...
Haonan Huang
https://arxiv.org/abs/2607.02329 https://mastoxiv.page/@arXiv_csAI_bot/116855126306616827
- Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic P...
Harari, Zimmermann, Kulseng, Zichi, Tan, Descoteaux, Kozinsky
https://arxiv.org/abs/2607.02499 https://mastoxiv.page/@arXiv_csLG_bot/116855152847861336
toXiv_bot_toot
Higharc, which uses AI to assist house builders in design and construction, raised a $95M Series C led by Insight Partners, bringing its total funding to $170M (Lauren Ohnesorge/Triangle Business Journal)
https://www.bizjournals.com/triangle/news/
Subsoil acidity causes long delays in inorganic carbon sequestration by Enhanced Weathering
S{\o}ren Jessen, Rasmus Jakobsen, Majken Looms, Per Ambus, Dieke Postma
https://arxiv.org/abs/2607.01835 https://arxiv.org/pdf/2607.01835 https://arxiv.org/html/2607.01835
arXiv:2607.01835v1 Announce Type: new
Abstract: While a looming atmospheric CO$_2$ overshoot calls for immediate carbon sequestration, delays associated to Enhanced Weathering (EW) carbon dioxide removal are being investigated. Topsoil acidity is already known to delay EW carbon sequestration, but subsoil acidity remains underexplored. Using century-long agricultural liming of formerly acidic heathland as a proxy for EW, this study provides empirical evidence of subsoil-imposed delays. Below such limed terrain, we observed a downward-progressing front of topsoil-produced alkalinity that still requires 30-100 years to penetrate the approximately 5 m thick acidic sandy unsaturated zone and reach the groundwater table. Subsoil acidity thus may cause beyond-reasonable delays, prohibiting EW as a viable short-term carbon capture strategy even on topsoils made non-acidic by preceding liming. When planning EW schemes, the amounts of stored acidic cations in top- and subsoil, as well as the rate and composition of infiltrating water, controlling the duration of the delay, require careful assessment.
toXiv_bot_toot
[2026-08-04 Tue (UTC), no new articles found for q-bio.OT Other Quantitative Biology]
toXiv_bot_toot
RE: https://front-end.social/@SaraSoueidan/116845563478631182
My experience is that LLM-derived writing about digital accessibility is wrong.
So not only do I abandon the page, I also mentally move the writer (LLM prompter) into a do-not-contra…
Found this useful tool called Hister. Basically your search history with better capabilities. I often will stumble across something, forget to save it and recalling it is hit-or-miss if I can remember the title of the page I am thinking of. This makes it easier. It makes a local copy of the text and adds search capabilities to sites you have visited in the past.
Forgot what Grim Dawn build I was working on. Searched for it and found it from my browsing history.
Another great tool…
Microwave shielding of ultracold polar molecules on the transition $\boldsymbol{n=1 \rightarrow 2}$
Joy Dutta, Jeremy M. Hutson
https://arxiv.org/abs/2607.02470 https://
Arctic bimodality reflects enhanced variability in the clear-cloudy transition rather than bistability
Nadja Omanovic, Antoon van Hooft, Valentina Zeni, Franziska Glassmeier
https://arxiv.org/abs/2608.02205
Deformation algorithm: Deforming (2 1)-dimensional integrable systems to higher dimensional ones
Wang Fa-Ren, Jia Man, Lou S Y
https://arxiv.org/abs/2608.01293 https://
📰 Auf meinen Websites findet Ihr u. a. nützliche Artikel zum #Klimasystem, zur #Energiewende und zur #Plastikvermeidung.
Aber die Rechnungen werden u.a. noch mit Amazon-Affiliat…
Joint elastic full waveform inversion of multi-component geophone and distributed acoustic sensing data
Hoang Anh Nguyen, Ali Tura
https://arxiv.org/abs/2607.01649 https://arxiv.org/pdf/2607.01649 https://arxiv.org/html/2607.01649
arXiv:2607.01649v1 Announce Type: new
Abstract: Joint full waveform inversion (FWI) of distributed acoustic sensing (DAS) and ocean-bottom node (OBN) data typically requires converting measured strain to particle velocity, introducing numerical noise and spectral distortion. To eliminate this, we present an elastic multi-parameter FWI framework using a velocity-stress-strain (VSS) formulation that directly models pressure, particle velocity, and gauge-length-averaged DAS strain from a single forward simulation. Data residuals are injected additively into a single backward simulation, making computational cost independent of the active sensor subsets. We benchmark individual and combined datasets on cross-talk and elastic Marmousi models. Our results show that joint inversion recovers elastic parameters more accurately than single deployments when the sensors offer complementary information. Specifically, pairing two-component geophones with a deviated borehole DAS cable yields the most accurate parameter recovery and mitigates inter-parameter cross-talk by providing a distinct physical observable and complementary depth aperture. We release our implementation as xFWI, an open-source, Devito-based Python package for scalable, multi-deployment inversions.
toXiv_bot_toot
[2026-07-03 Fri (UTC), 2 new articles found for physics.comp-ph Computational Physics]
toXiv_bot_toot
Identical-Particle Symmetry-Enabled Complete Coherent Control of Ultracold Atomic and Molecular Collisions
Jing-Chen Zhang, Adrien Devolder, Timur V. Tscherbul, Paul Brumer, Yu Liu
https://arxiv.org/abs/2607.01620
How effective normal stress oscillations advance failure in fault gouge: frequency dependence, non-failure window, and the role of dilation
Pritom Sarma, Einat Aharonov, Renaud Toussaint, Stanislav Parez
https://arxiv.org/abs/2607.01448 https://arxiv.org/pdf/2607.01448 https://arxiv.org/html/2607.01448
arXiv:2607.01448v1 Announce Type: new
Abstract: Cyclic pore-pressure or normal stress variations arise both in relation to natural earthquakes and in engineered subsurface systems, yet their effect on fault stability remains poorly constrained at the grain scale. Here we numerically model, using a coupled Discrete Element--fluid dynamics model, the response of a sheared, fluid-saturated or dry, gouge-filled fault to effective normal stress oscillations over a wide frequency range (0.5-10000 Hz). The effective normal stress is oscillated either by cycling the pore-pressure or by directly cycling the normal stress, while keeping the stress state below the Mohr-Coulomb threshold measured in continuous loading. Despite this sub-critical loading, we observe failure across most frequencies, with a non-monotonic frequency dependence. A distinct non-failure window emerges at intermediate frequencies (30-200 Hz), bounded by failure at both lower and higher frequencies; the system exhibits four regimes from cyclic failure-and-arrest to continuous sliding. Pore-pressure and normal stress oscillations produce the same regime structure, confirming that they act as equivalent forcings via Terzaghi's principle, with fluid coupling adding only a delay due to dilatant hardening. Sub-critical failure arises from dilation-induced strength deterioration via two mechanisms: (i) low-frequency cycles allow sufficient time for shear-driven ratcheting dilation, while (ii) high-frequency cycles induce dynamic dilation (acoustic fluidization) via amplified seepage forces, stress gradients and inertial forces. The intermediate non-failure window represents the gap between these mechanisms. These results identify frequency as a controlling parameter for failure in granular materials, with implications for dynamic earthquake triggering and cyclic injection protocols.
toXiv_bot_toot
HenTwin: A Multimodal Digital Twin Framework for Longitudinal Biological State Monitoring in Laying Hens
Yashan Dhaliwal, Shreya Rao, Suresh Neethirajan
https://arxiv.org/abs/2607.28652 https://arxiv.org/pdf/2607.28652 https://arxiv.org/html/2607.28652
arXiv:2607.28652v1 Announce Type: new
Abstract: Early-life monitoring in laying hens remains constrained by fragmented single-modality sensing and the absence of formal system-level state representations. HenTwin, a multimodal digital twin framework implemented as a five-layer IoT architecture, formalizes flock-level multimodal biological state dynamics from hatch through 25 weeks of age. A four-dimensional biological state vector integrating body surface temperature, acoustic energy entropy, band energy ratio, and optical-flow-based motion is defined, with the temperature-humidity index treated as an exogenous environmental input to preserve intervention capability. A discrete-time state transition model is estimated from 25 weeks of longitudinal multimodal data collected from 150 Lohmann LSL-Lite hens across five controlled rooms at the Atlantic Poultry Research Centre, Dalhousie University. The estimated transition matrix exhibits modality-specific persistence while remaining asymptotically stable. Perturbation analysis demonstrates that a sustained 2.0 THI increase produces a stable long-run acoustic entropy elevation of 0.54 nats, approximately one-quarter of the entire 1.87-nat developmental decline observed across the study period. Pettitt change-point detection identifies coordinated multimodal developmental state transitions at Weeks 12-14. Cross-room validation suggests that structural transition parameters are partially transferable across rooms, whereas environmental input sensitivity requires room-specific calibration, supporting a two-tier IoT deployment architecture. Leave-one-out cross-validation demonstrates consistent out-of-sample model performance. HenTwin takes a first step toward formal, state-aware digital twin inference in precision livestock farming.
toXiv_bot_toot
Amazon researchers link the compromises of four npm packages, including axios, over the past 18 months to the North Korea-linked group tracked as Sapphire Sleet (Carly Page/The Register)
https://www.theregister.com/cyber-crime/20
Learning Effective Soliton Dynamics from Scattering Data
Seth Minor, Vanja Dukic, David M. Bortz
https://arxiv.org/abs/2607.01545 https://arxiv.org/pdf/2607.01545 https://arxiv.org/html/2607.01545
arXiv:2607.01545v1 Announce Type: new
Abstract: The inverse scattering transform (IST) provides the standard theoretical framework for deriving soliton dynamics. Traditionally, such derivations have been of an analytical, rather than data-driven, nature. In this paper, we combine the conceptual framework of the IST with weak-form system identification methods to discover effective soliton dynamics directly from observed scattering data, without assuming prior knowledge of the scattering equations. Our method avoids parameterizing solitary waves via ad hoc curve-fitting by working in the scattering domain, yielding interpretable low-dimensional models that remain valid in perturbed and near-integrable regimes. We demonstrate the performance of the proposed approach on synthetic and experimental data governed by shallow-water equations of Korteweg--de Vries-type and recover models that are consistent with canonical IST theory.
toXiv_bot_toot
Crucial role of subsurface ocean variability in tropical cyclone genesis
Cong Gao, Lei Zhou, I. -I. Lin, Chunzai Wang, Shoude Guan, Fei-Fei Jin, Raghu Murtugudde
https://arxiv.org/abs/2608.02077
Replaced article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Quantifying the Role of 3D Fault Geometry Complexities on Slow and Fast Earthquakes
J. Cheng, H. S. Bhat, M. Almakari, B. Lecampion, P. Dubernet
https://arxiv.org/abs/2602.16403 https://mastoxiv.page/@arXiv_physicsgeoph_bot/116096366560349597
toXiv_bot_toot
Ermakov-Painleve' II Symmetry Reduction of a Class of Moving Boundary Problems for a Reciprocal Extended mKdV Equation
Colin Rogers, Sandra Carillo
https://arxiv.org/abs/2608.00681
[2026-07-03 Fri (UTC), 2 new articles found for physics.comp-ph Computational Physics]
toXiv_bot_toot
Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Cryogenic source of atomic tritium for neutrino-mass measurements and precision spectroscopy
Aleksei Semakin, et al.
Crosslisted article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Analyses on Christoph Clavius' Reports of Total Solar Eclipses in 1560 and 1567: Key References f...
Hayakawa, S\^oma, Rozelot, Murata, Pevtsov, Gun\'ar, Green
https://arxiv.org/abs/2607.02347 https://mastoxiv.page/@arXiv_astrophSR_bot/116855024460025539
toXiv_bot_toot
[2026-08-03 Mon (UTC), 1 new article found for q-bio.OT Other Quantitative Biology]
toXiv_bot_toot
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Stark-Broadened Profiles for Ionized Helium Lines Using Computer Simulations
Patrick Tremblay, Alain Beauchamp, Pierre Bergeron
FESOM2-JAX v1.0: a differentiable shadow of the ocean-sea-ice model FESOM2, cast onto GPUs
Nikolay V. Koldunov, Sergey Danilov, Suvarchal Cheedela, Dmitry Sidorenko, Sebastian Beyer, Patrick Scholz, Ivan Kuznetsov, Jan Streffing, Aleksei Koldunov, Dmitrii Pantiukhin, Svetlana N. Loza, Thomas Jung
https://arxiv.org/abs/2608.01546
[2026-08-04 Tue (UTC), 2 new articles found for nlin.SI Exactly Solvable and Integrable Systems]
toXiv_bot_toot
Learning Effective Soliton Dynamics from Scattering Data
Seth Minor, Vanja Dukic, David M. Bortz
https://arxiv.org/abs/2607.01545 https://arxiv.org/pdf/260…
Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- How Physical Dynamics Shape the Properties of Ising Machines: Evaluating Oscillators vs. Bistable...
Abir Hasan, Nikhil Shukla
https://arxiv.org/abs/2603.06843 https://mastoxiv.page/@arXiv_physicscompph_bot/116204003660873932
- Pulgon-tools: A toolkit for analysing and harnessing symmetries in quasi-1D systems
Yu-Jie Cen, Sandro Wieser, Georg K. H. Madsen, Jes\'us Carrete
https://arxiv.org/abs/2603.28435 https://mastoxiv.page/@arXiv_physicscompph_bot/116322896642584491
- MADField: Multi-fidelity Amortized Density Field for Adsorption in Nanoporous Materials
Yoonho Kim, Seongsu Kim, Sungsoo Ahn, Honghui Kim
https://arxiv.org/abs/2606.21284 https://mastoxiv.page/@arXiv_physicscompph_bot/116798531764581123
- Monte Carlo Physics-informed Neural Networks for Inverse Multiscale Heat Conduction Problems via ...
Qingyi Lin, Chuang Zhang, Xuhui Meng, Zhaoli Guo
https://arxiv.org/abs/2606.25793 https://mastoxiv.page/@arXiv_physicscompph_bot/116809736857979012
- TRIDS: AI-native molecular docking framework for accelerating high-throughput virtual screening w...
Liu, Zhang, Xue, Hao, Bing, Chai, Zhao, Yang, Zhang, Gao
https://arxiv.org/abs/2510.24186 https://mastoxiv.page/@arXiv_physicschemph_bot/115456702015641743
- Absence of poor local minima in matrix product states
Hao-Kai Zhang, Chenghong Zhu, Shuo Liu, Shi-Xin Zhang, Tao Xiang
https://arxiv.org/abs/2606.09988 https://mastoxiv.page/@arXiv_quantph_bot/116724766789822682
toXiv_bot_toot
A Sequence-to-Sequence ConvLSTM Approach for Leaf Area Index Forecasting over the South-Central United States
Zhixing Ruan, Lixin Lu
https://arxiv.org/abs/2608.00879 https://
[2026-08-03 Mon (UTC), no new articles found for nlin.SI Exactly Solvable and Integrable Systems]
toXiv_bot_toot
Verification and Performance Assessment of NuDEAL, a GPU-Accelerated Deterministic Transport Framework on Unstructured Meshes
Kyung Min Kim, Jaeuk Im, Han Gyu Lee, Yeon Sang Jung
https://arxiv.org/abs/2607.01591 https://arxiv.org/pdf/2607.01591 https://arxiv.org/html/2607.01591
arXiv:2607.01591v1 Announce Type: new
Abstract: High-fidelity neutronic analyses of advanced reactors require deterministic transport solvers capable of handling complex unstructured geometries while maintaining computational efficiency. This work presents the development and verification of three GPU-accelerated deterministic solvers implemented within a unified framework, Neutronics using Deterministic Finite Element Algorithm (NuDEAL): the planar Method of Characteristics coupled with the Hybrid Finite Element Method (MOC/HFEM), the Discontinuous Galerkin Method of Characteristics (DGMOC), and the Discontinuous Finite Element discrete ordinate method (DFEM-SN). These solvers provide complementary capabilities for consistently solving the multigroup transport equation and can be selectively employed to balance accuracy, computational cost, and memory requirements for a given problem. All methods emphasize efficient GPU execution by leveraging memory alignment, compressed-flux storage, and sequential azimuthal sweeps. The solvers are validated on the C5G7 benchmark and applied to advanced reactor problems, including the ABTR, Empire microreactor, and MSRE. DFEM-SN achieved the highest accuracy, with eigenvalue errors below 50 pcm, while MOC/HFEM and DGMOC provided superior efficiency, with single-GPU runtimes comparable to those of large CPU clusters. The results demonstrate that deterministic GPU solvers on unstructured meshes can deliver both accuracy and scalability, enabling practical whole-core simulations for heterogeneous advanced reactors. The unified NuDEAL framework establishes a foundation for future extensions toward transient and multiphysics analyses on large-scale GPU architectures.
toXiv_bot_toot
Crosslisted article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Diffusiophoretic transport of colloids and emulsions in complex environments
Amir A. Pahlavan
https://arxiv.org/abs/2607.01031 https://mastoxiv.page/@arXiv_condmatsoft_bot/116849321690610175
- Verification of a sequential thermo-poroelasticity formulation in PFLOTRAN
J. Al Kubaisy, G. E. Hammond, S. Karra, J. Burghardt, L. Murdoch, T. Johnson, K. M. Rosso
https://arxiv.org/abs/2607.01156 https://mastoxiv.page/@arXiv_physicscompph_bot/116849307307337867
toXiv_bot_toot
A single atom emitting resonance fluorescence into a coherent beam, and its use for non-destructive atom thermometry
Tom\'a\v{s} Lamich, Laura Zarraoa, Sondos Elsehimy, Morgan W. Mitchell, Romain Veyron
https://arxiv.org/abs/2607.29515
Crosslisted article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- A High-Order Arbitrary Lagrangian-Eulerian Discontinuous Galerkin Method for the Boltzmann Equati...
Atakan Aygun, Onur Ata, Tim Warburton, Ali Karakus
https://arxiv.org/abs/2607.00199 https://mastoxiv.page/@arXiv_physicsfludyn_bot/116849258941218034
- A Multi-Resolution Finite-Volume Inspired Deep Learning Framework for Spatiotemporal Dynamics Pre...
Xin-Yang Liu, Xiantao Fan, Jian-Xun Wang
https://arxiv.org/abs/2607.00460 https://mastoxiv.page/@arXiv_csCE_bot/116849212144848429
- When is vaccine prioritization worth optimizing?
Mi Feng, Zhaohua Lin, Changsong Zhou, Liang Tian
https://arxiv.org/abs/2607.00484 https://mastoxiv.page/@arXiv_physicsbioph_bot/116849279781216938
- A Nonstandard Finite Difference Scheme for a Nonlinear Parabolic Equation with p-Laplacian-Type D...
Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi
https://arxiv.org/abs/2607.00489 https://mastoxiv.page/@arXiv_mathNA_bot/116849363932310131
- The BiP-PRISM algorithm for fast and scalable core-loss STEM-EELS simulations
Philipp Pelz
https://arxiv.org/abs/2607.00756 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116849366488683473
toXiv_bot_toot
Replaced article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Steadily moving semi-infinite fracture in plane poroelasticity
Evgenii Kanin, Andreas M\"ori, Dmitry Garagash, Brice Lecampion
https://arxiv.org/abs/2604.18483 https://mastoxiv.page/@arXiv_physicsgeoph_bot/116441660700474747
- Korzhinskii-Net: Physics-Informed Neural Network for Sub-Surface Mineral Prospectivity Modelling
Boris Kriuk
https://arxiv.org/abs/2606.13695 https://mastoxiv.page/@arXiv_physicsgeoph_bot/116753002636569610
toXiv_bot_toot
From Flight Logs to Atmospheric Science: Paragliders as Convection Sensors for Identifying Thermal Predictors
C\'esar Hern\'andez-Aguayo, Matthieu Cristelli, Michael Benzaquen
https://arxiv.org/abs/2608.00241
Strontium ${}^{1}S_{0}\!\rightarrow\!{}^{1}P_{1}$ transition frequency measurements assisted by a photonic grating chip
Jaewhan Lee, Hyun Gyung Lee, Won-Kyu Lee, Huidong Kim, Dohyeon Kwon, Sang-Bum Lee, Meungho Seo, Taeg Yong Kwon, Sangwon Seo, Hyun-Gue Hong, Seji Kang, Sang Eon Park, Young-Ho Park, Jongcheol Park, Yeeun Na, Il-Suk Kang, Sangsik Kim, Jae Hoon Lee
Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Learning Stiff Dynamical Operators: Scaling, Fast-Slow Excitation, and Eigen-Consistent Neural Mo...
Mauro Valorani
https://arxiv.org/abs/2601.01632 https://mastoxiv.page/@arXiv_physicscompph_bot/115847284915795620
- How Physical Dynamics Shape the Properties of Ising Machines: Evaluating Oscillators vs. Bistable...
Abir Hasan, Nikhil Shukla
https://arxiv.org/abs/2603.06843 https://mastoxiv.page/@arXiv_physicscompph_bot/116204003660873932
- Quantum metric-induced generalized magneto-optical effects in $\mathcal{PT}$-symmetric antiferrom...
Yongpan Li, Yichen Liu, Cheng-Cheng Liu
https://arxiv.org/abs/2503.04312 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/114120036631640231
- Filtered Quantum Phase Estimation
Gwonhak Lee, Minhyeok Kang, Jungsoo Hong, Stepan Fomichev, Joonsuk Huh
https://arxiv.org/abs/2510.04294 https://mastoxiv.page/@arXiv_quantph_bot/115332659452746830
- NAVIS: A LAMMPS-Python framework for efficient computation of nanochannel velocity and thermal in...
Sleeba Varghese, Sobin Alosious, Jesper Schmidt Hansen, Billy Dean Todd
https://arxiv.org/abs/2601.11391 https://mastoxiv.page/@arXiv_condmatsoft_bot/115920990500539102
- Fast proton transport and neutron production in proton therapy using Fourier neural operators
Blangiardi, Ratliff, Teichert, Ytre-Hauge, Langer, Meric
https://arxiv.org/abs/2603.03912 https://mastoxiv.page/@arXiv_physicsmedph_bot/116175752411043510
- Smoluchowski Coagulation Equation and the Evolution of Primordial Black Hole Clusters
Borui Zhang, Wei-Xiang Feng, Haipeng An
https://arxiv.org/abs/2604.01684 https://mastoxiv.page/@arXiv_astrophCO_bot/116339761602853235
- Identical Particle Systems : Hierarchical Spectral Reconstruction
Hovan Lee, R\'emi Lef\`evre, Gr\'egoire Ithier
https://arxiv.org/abs/2605.02864 https://mastoxiv.page/@arXiv_quantph_bot/116521159694499994
- A matrix free action of the Ashtekar-Lewandowski volume operator of loop quantum gravity
Waleed Sherif
https://arxiv.org/abs/2606.18397 https://mastoxiv.page/@arXiv_grqc_bot/116770027887442756
toXiv_bot_toot
[2026-07-02 Thu (UTC), 1 new article found for physics.geo-ph Geophysics]
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Collimation of dense atomic beams by Swept Velocity Shelving
Francesca Fam\`a, Benedikt Heizenreder, Ananya Sitaram, Camila Beli, Robert J. C. Spreeuw, Stefan A. Sch\"{a}ffer, Florian Schreck
https://arxiv.org/abs/2607.28873
Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Walking on Spheres and Talking to Neighbors: Variance Reduction for Laplace's Equation
Michael Czekanski, Benjamin Faber, Margaret Fairborn, Adelle Wright, David Bindel
[2026-08-03 Mon (UTC), 3 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Crosslisted article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Hybrid Two-Level Transport Method with Solution Decomposition in Macro and Micro Components
Caleb A. Shaw, Dmitriy Y. Anistratov
The effect of 20th century industrialization: Power station, acid rains, over-pumping, on an erstwhile uniform freshwater dune aquifer in Haifa Bay, Israel
Vasily Rogojin, Joel Kronfeld
https://arxiv.org/abs/2607.00893 https://arxiv.org/pdf/2607.00893 https://arxiv.org/html/2607.00893
arXiv:2607.00893v1 Announce Type: new
Abstract: A small phreatic sand dune aquifer lies along the shore of Haifa Bay. It has been exploited for its freshwater resources since the 1930s. During this time the salinity has increased continuously, partly by seawater intrusion due to overpumping. The chemistry of the young aquifer water is laterally variable and is characterized by excess SO$_4^{2-}$, high $Sr^{2 }$ concentrations above that of modern seawater, high alkalinity, and markedly enriched $\delta^{13}C_{DIC}$ values. Acidic winter rains, formed from $SO_x$ and $NO_x$ gaseous emissions from a nearby power station, leach the dry deposition that accumulated across the dune surface during the dry summers. The acidity also partially dissolves the aragonite sea shells in the dune sands, remnants of a previous marine transgression. As a consequence, this adds $Sr^{2 }$, $Ca^{2 }$ excess, and alkalinity, while leading to enriched $\delta^{13}C_{DIC}$ values, particularly during the winter, at which time the radiocarbon activity in the DIC is observed to decrease.
toXiv_bot_toot
Verification and Performance Assessment of NuDEAL, a GPU-Accelerated Deterministic Transport Framework on Unstructured Meshes
Kyung Min Kim, Jaeuk Im, Han Gyu Lee, Yeon Sang Jung
https://arxiv.org/abs/2607.01591
Measurement and control of the interaction frequency shift in bosonic optical lattice clocks
J. P. Salvatierra, M. Barbiero, G. Bertaina, D. Calonico, F. Levi, M. G. Tarallo
https://arxiv.org/abs/2608.02425
Interspecies clock comparison below $5 \times 10^{-18}$ uncertainty with a transportable clock
Chetan Vishwakarma, Ingo Nosske, Tim L\"ucke, Martin Steinel, Melina Filzinger, Erik Benkler, S\"oren D\"orscher, Nils Huntemann, Christian Lisdat
https://arxiv.org/abs/2608.01916
Crosslisted article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/2]:
- Interpolation of Microscale Stress and Strain Fields Based on Mechanical Models
Wenzhe Shan, Udo Nackenhorst
https://arxiv.org/abs/2104.09749
- Joint discovery of governing partial differential equations from multi-source datasets by competi...
Hao Xu, Siyu Lou, Yuntian Chen, Dongxiao Zhang
https://arxiv.org/abs/2606.30699 https://mastoxiv.page/@arXiv_csLG_bot/116843565775934283
- LinApart3: efficient algorithm for multivariate partial fraction decomposition with linear denomi...
L. Fek\'esh\'azy, A. Kardos
https://arxiv.org/abs/2606.30708 https://mastoxiv.page/@arXiv_hepph_bot/116843629511193799
- Introducing AuriGLOBES: the effect of compressive tides, compact object-induced mass loss, and si...
Pablo Contreras Guerra, Robert J. J. Grand, Marta Reina-Campos, Claudio Dalla Vecchia
https://arxiv.org/abs/2606.30746 https://mastoxiv.page/@arXiv_astrophGA_bot/116843732310368458
- Time-dependent adaptive mesh refinement solver for the Gross-Pitaevskii-Poisson equations
Iv\'an \'Alvarez-Rios
https://arxiv.org/abs/2606.30827 https://mastoxiv.page/@arXiv_astrophGA_bot/116843767701812779
- Computed materials proposals depart from the structural memory of experimental discovery
Dan Nguyen, Karen Cao, Brian Chu, Nick Lemoff, Paul Kienzle, William Ratcliff II
https://arxiv.org/abs/2606.30967 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116843665854969922
- An Enhanced RPA-LDA Model for Ion Stopping Power from Cold Matter to High-Energy Density Plasmas:...
Thomas A. Mehlhorn, Ming Feng Gu, Igor Golovkin
https://arxiv.org/abs/2606.30978 https://mastoxiv.page/@arXiv_physicsplasmph_bot/116843597824839239
- Full-Wave Green's-Function Modeling of Collective Single-Photon Emission in Non-Markovian Open-Sy...
Hyunwoo Choi, Jisang Seo, Junwoo Gim, Bowoo Jang, Weng C. Chew, Dong-Yeop Na
https://arxiv.org/abs/2606.31317 https://mastoxiv.page/@arXiv_quantph_bot/116843791099390803
- Side-Chain Tuning of Thermal-Expansion Crossover in Metal-Organic Frameworks
Wei Qiu, Penghua Ying
https://arxiv.org/abs/2606.31417 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116843748631678308
toXiv_bot_toot
Phase-continuous comparison of three all-optical time scales over 20 days
Dahyeon Lee, Kyungtae Kim, Zoey Z. Hu, Ben Lewis, William Warfield, Kai Zhou, Alejandra L. Collopy, Jeffrey A. Sherman, Abijith S. Kowligy, Parth B. Patel, Jonathan D. Roslund, Arman Cing\"oz, Martin M. Boyd, Jun Ye
https://arxiv.org/abs/2608.00910
Spectroscopy of the Hyperfine Structure of HD$^ $ in Rotationally Excited States with 10-ppb Uncertainty
D. Kliukin, V. Barb\'e, T. Klijn Velderman, J. B. E. Schokking, J. John, K. S. E. Eikema, J. C. J. Koelemeij, J. -Ph. Karr
https://arxiv.org/abs/2608.00607
[2026-07-01 Wed (UTC), 1 new article found for physics.geo-ph Geophysics]
toXiv_bot_toot
[2026-08-04 Tue (UTC), 4 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
[2026-07-02 Thu (UTC), 4 new articles found for physics.comp-ph Computational Physics]
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A monolithic segmented 3D ion trap fabricated from fused silica by selective laser-induced etching
Edgar Brucke, Martin Wagener, Moritz Fontbot\'e-Schmidt, Philip Leindecker, Matteo Marinelli, Vlad Negnevitsky, Ilia Sergachev, Gr\'egoire F. M. Tomassi, Paul Venetz, Stephan Welte, Jonathan Home, Daniel Kienzler, Cornelius Hempel
https://
Replaced article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Regimes of rotating convection in an experimental model of the Earth's tangent cylinder
Rishav Agrawal, Martin Holdsworth, Alban Poth\'erat
https://arxiv.org/abs/2408.07837 https://mastoxiv.page/@arXiv_physicsgeoph_bot/112970809988434109
- Machine learning enhanced data assimilation framework for multiscale carbonate rock characterization
Bo, Elsheikh, Menke, Maes, Geiger, Kashim, Bakar, Singh
https://arxiv.org/abs/2602.06989 https://mastoxiv.page/@arXiv_physicsgeoph_bot/116045261443672160
- Guided Unconditional and Conditional Generative Models for Super-Resolution and Inference of Quas...
Anantha Narayanan Suresh Babu, Akhil Sadam, Pierre F. J. Lermusiaux
https://arxiv.org/abs/2507.00719 https://mastoxiv.page/@arXiv_physicsfludyn_bot/114782990520242000
- PCP-GAN: Property-Constrained Pore-scale image reconstruction via conditional Generative Adversar...
Ali Sadeghkhani, Brandon Bennett, Masoud Babaei, Arash Rabbani
https://arxiv.org/abs/2510.19465 https://mastoxiv.page/@arXiv_csCV_bot/115422929244004682
- Fate of Secondary Droplets Produced by High-speed Raindrops Interacting with a Liquid Pool
Han-Hsiang Kuo, Xuanting Hao
https://arxiv.org/abs/2604.10491 https://mastoxiv.page/@arXiv_physicsfludyn_bot/116402146676519672
- Excursion-set structure factor of the auroral electric field
Magnus F Ivarsen, Kaili Song, Jean-Pierre St-Maurice, Glenn C Hussey
https://arxiv.org/abs/2606.26854 https://mastoxiv.page/@arXiv_physicsspaceph_bot/116815350546290631
toXiv_bot_toot
[2026-09-03 Thu (UTC), 1 new article found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Verification of a sequential thermo-poroelasticity formulation in PFLOTRAN
J. Al Kubaisy, G. E. Hammond, S. Karra, J. Burghardt, L. Murdoch, T. Johnson, K. M. Rosso
https://arxiv.org/abs/2607.01156 https://arxiv.org/pdf/2607.01156 https://arxiv.org/html/2607.01156
arXiv:2607.01156v1 Announce Type: new
Abstract: We present the verification of a thermo--hydrologic--mechanical capability implemented within the PFLOTRAN framework, with emphasis on benchmark-based assessment of the THM implementation. The thermal--hydrologic (TH) equations for mass and energy balance are solved on control-volume blocks or Voronoi cells, while the quasi-static momentum balance is solved on an element-based dual mesh. The coupling is achieved using a strictly sequential, non-iterative fixed-stress split strategy in which the TH system is solved implicitly for pressure and temperature, followed by a mechanics update for the displacement unknowns. Several verification problems are set up against poroelastic and thermo-poroelastic benchmarks, demonstrating agreement with analytical or semi-analytical benchmark responses for pressure diffusion, the temperature field, and mechanical deformation. In addition, we propose a treatment for discontinuities (e.g., fractures) based on mapping between mechanical and flow degrees of freedom, and validate the approach by comparison to an analytical solution. This work establishes the basis for thermo-poroelastic coupling in PFLOTRAN and provides a solid modeling foundation for a range of applications (e.g., enhanced geothermal systems and other subsurface energy storage) involving coupled thermal--hydrologic--mechanical (THM) processes in geologic porous media.
toXiv_bot_toot
[2026-07-02 Thu (UTC), 6 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Scenario-conditioned flow matching for probabilistic generation of three-component ground-motion waveforms
Yi Ding, Jinjun Hu, Su Chen, Xianwei Liu, Zhongxiang Zhang, Zongchao Li, Xiaojun Li, Lili Xie
https://arxiv.org/abs/2606.31340 https://arxiv.org/pdf/2606.31340 https://arxiv.org/html/2606.31340
arXiv:2606.31340v1 Announce Type: new
Abstract: Performance-based seismic risk assessment requires three-component acceleration histories compatible with specified source, path, and site conditions. Conventional ground-motion prediction equations provide scalar intensity measures, while many generative waveform models learn amplitude and waveform shape within a single high-dimensional target. We present WaveFlowGMM, a two-stage probabilistic ground-motion model that uses peak ground acceleration (PGA) as an amplitude interface between scenario conditioning and waveform generation. The amplitude stage uses physics-informed symbolic learning to estimate component-wise PGA medians and a full cross-component covariance. The waveform stage uses few-step AlphaFlow in an invertible wavelet-packet coefficient space to generate normalised three-component histories that are rescaled by sampled PGA. Tests on an event-level NGA-West2 holdout set show that the generated motions recover the main magnitude, distance, and site scaling, keep peak and spectral residuals close to zero, preserve three-component amplitude dependence, and yield velocity and displacement histories without systematic drift after integration of the generated three-component acceleration histories. The framework provides an interpretable and computationally efficient candidate component for waveform-level seismic hazard and risk analysis.
toXiv_bot_toot
Lanczos Method for QRPA Strength Functions in Atomic Nuclei
Dong Min Roh, Chao Yang, Jonathan Engel, Matthew L. Dai
https://arxiv.org/abs/2607.01114 https://arxiv.org/pdf/2607.01114 https://arxiv.org/html/2607.01114
arXiv:2607.01114v1 Announce Type: new
Abstract: We present a symmetric Lanczos method for computing charge-changing QRPA strength functions in atomic nuclei. Starting from the finite-amplitude-method formulation of the QRPA linear-response problem, we derive equivalent spectral representations and, in the real case, a reduced eigenvalue problem involving the matrix products $MK$ and $KM$, where $M\equiv A B$ and $K\equiv A-B$ are formed from the usual QRPA matrices $A$ and $B$. The resulting formulation enables a matrix-free Lanczos approximation of the Lorentzian-smeared strength function over a broad energy interval from a single Krylov run, in contrast to conventional frequency-by-frequency response calculations. Numerical tests for $^{112}$Sn and $^{150}$Nd first show that GMRES reproduces the converged iterative FAM strength profiles while requiring fewer iterations. Using GMRES as the frequency-by-frequency reference, we then show that the Lanczos approximation reproduces the same strength profiles with reduced overall cost. These results indicate that symmetric Lanczos projection provides an efficient and accurate approach for QRPA strength-function calculations when spectral information is required over an extended frequency range.
toXiv_bot_toot
LSR-Net: Long-Short-Range Operator Learning for Pattern Dynamics on Manifolds
Qian Serena Hou, Zecheng Gan
https://arxiv.org/abs/2607.00750 https://arxiv.org/pdf/2607.00750 https://arxiv.org/html/2607.00750
arXiv:2607.00750v1 Announce Type: new
Abstract: We propose the Long-Short-Range Neural Network (LSR-Net), an extensible operator-learning framework for predicting pattern dynamics on planar domains, spherical surfaces, and general manifolds. The method decomposes the forward evolution operator into a long-range component, represented by a compact Fourier multiplier constructed via the Sum-of-Exponentials (SOE) approximation, and a short-range component adapted to the underlying geometry and its intrinsic symmetries. For general manifolds represented by irregularly sampled point clouds, the long-range component is implemented by Gaussian gridding onto an auxiliary regular grid, where the Fourier multiplier is efficiently applied in k-space using FFT and the result is interpolated back to the original sample points. We evaluate LSR-Net on several benchmark systems, including the Allen-Cahn, Cahn-Hilliard, Schnakenberg, and Turing systems, over planar domains, spherical surfaces, and a blob-shaped manifold. Numerical results demonstrate that LSR-Net consistently achieves higher accuracy and improved stability compared with baseline operator-learning models. In particular, for Allen-Cahn dynamics on the sphere, the RMSE is reduced by approximately three orders of magnitude compared with the Spherical Fourier Neural Operator (SFNO). Rotation and reflection equivariance tests further confirm that the learned operator is consistent with these geometric transformations. These results indicate that LSR-Net provides an effective and robust approach for learning pattern dynamics on complex geometries.
toXiv_bot_toot
A Scoping Review of Physics Informed Machine Learning for Wave Propagation Modeling in Seismology
\'Oscar Rinc\'on-Carde\~no, Gregorio P\'erez-Bernal, Silvana Montoya-Noguera, Nicol\'as Guar\'in-Zapata
https://arxiv.org/abs/2607.00178 https://arxiv.org/pdf/2607.00178 https://arxiv.org/html/2607.00178
arXiv:2607.00178v1 Announce Type: new
Abstract: \emph{Background:} Standard numerical methods accurately simulate seismic waves but are computationally expensive, particularly for inverse problems. Machine learning approaches have been proposed as alternatives that can reduce computational cost while maintaining acceptable physical accuracy. \emph{Objective:} To map how physics-informed machine learning methods have been applied to seismic wave propagation modeling based on partial differential equations. \emph{Methods:} A scoping review was conducted using the OpenAlex and Scopus databases. Selected studies were classified by problem type (forward or inverse) and machine learning strategy to identify research trends, methodological patterns, and gaps in the literature. \emph{Results:} Physics-informed machine learning has been applied to both forward modeling and inversion in seismology, often reaching accuracy comparable to standard numerical methods at lower computational cost. Application of three mechanisms for incorporating physical knowledge were identified: observational bias, inductive bias, and learning bias. To evaluate methodological reproducibility of a representative method, the original PINN framework was replicated in PyTorch, obtaining results consistent with and in most cases more accurate than those originally reported. From the reviewed literature, limitations remain in benchmarking consistency, training cost, and scalability to three-dimensional and experimentally validated problems. \emph{Conclusions:} Standard numerical methods remain the basis of seismological workflows, while physics-informed machine learning offers complementary approaches that are useful for inverse problems and surrogate modeling. Future work should focus on consistent benchmarking, hybrid formulations, and validation under realistic geophysical conditions.
toXiv_bot_toot
Surface charges in a Rydberg atom-nanowaveguide hybrid quantum system
Aswathy Raj, Anna Kortel, Krishna Jadeja, Dylan J. Brown, Alexey Vylegzhanin, Robert L\"ow, S\'ile Nic Chormaic
https://arxiv.org/abs/2607.00513
Correct Asymptotic Wavefunctions for Calculating Photoelectron Angular Distributions of O2- and NO-
Wenru Jie, Rui Zhang, Jiayi Chen, Qihan Liu, Chuangang Ning
https://arxiv.org/abs/2607.00336
[2026-07-02 Thu (UTC), 4 new articles found for physics.comp-ph Computational Physics]
toXiv_bot_toot
New Bounds on Exotic Long-Range Spin-Spin Interactions
Nathan B. Clayburn, Andrew Glassford, Thomas Uelmen, Ashley R. Kyung, Yana Boneva, Saif Salim, Alison S. Weiss, Flanagan Waldherr, Claire Carlin, Stephen K. Peck, Larry R. Hunter
https://arxiv.org/abs/2607.00200
Verification of a sequential thermo-poroelasticity formulation in PFLOTRAN
J. Al Kubaisy, G. E. Hammond, S. Karra, J. Burghardt, L. Murdoch, T. Johnson, K. M. Rosso
https://arxiv.org/abs/2607.01156
Lanczos Method for QRPA Strength Functions in Atomic Nuclei
Dong Min Roh, Chao Yang, Jonathan Engel, Matthew L. Dai
https://arxiv.org/abs/2607.01114 https://
LSR-Net: Long-Short-Range Operator Learning for Pattern Dynamics on Manifolds
Qian Serena Hou, Zecheng Gan
https://arxiv.org/abs/2607.00750 https://arxiv.o…
Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Bound-free electron-positron pair production in combined Coulomb and constant crossed electromagn...
S. Remme, A. Eckey, S. Villalba-Ch\'avez, A. B. Voitkiv, C. M\"u…
A Scoping Review of Physics Informed Machine Learning for Wave Propagation Modeling in Seismology
\'Oscar Rinc\'on-Carde\~no, Gregorio P\'erez-Bernal, Silvana Montoya-Noguera, Nicol\'as Guar\'in-Zapata
https://arxiv.org/abs/2607.00178
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- State-dependent Gaussian gate set using an optical tweezer for trapped ions
Leindecker, Milanovic, Behrle, Brucke, Marinelli, Schmidt, Home, Hempel
Crosslisted article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[2/2]:
- Fully compensated ferrimagnetic triferroics and multistate transport in hidden-phase wurtzite MnS...
Zhuang Ma, Hongfei Liang, Po Ma, Guangqian Ding, Xuehao Wu, Sikander Azam, Guoying Gao, Long Zhang
https://arxiv.org/abs/2606.31419 https://mastoxiv.page/@arXiv_physicsappph_bot/116843598417234230
- Mesoscopic simulations of linear and ring polymer solutions with explicit hydrodynamics under goo...
Ashish Kumar Singh, Angelo Rosa
https://arxiv.org/abs/2606.31656 https://mastoxiv.page/@arXiv_condmatsoft_bot/116843658778265550
- GQL-Based Physical-Constraint-Preserving High-Order Finite Difference Schemes for Special Relativ...
Linfeng Xu, Shengrong Ding, Kailiang Wu
https://arxiv.org/abs/2606.31992 https://mastoxiv.page/@arXiv_mathNA_bot/116843746861915057
toXiv_bot_toot
Parts-per-million-accurate determination of the K${\alpha}$ photoionization resonance of Be-like oxygen with resolution of its $^{16}$O-$^{18}$O isotopic shift
Jonas Danisch, Marc Botz, Chintan Shah, Moto Togawa, Joschka Goes, Dominic Hache, Filipe Grilo, Pedro Amaro, Vladimir A. Yerokhin, Steffen K\"uhn, Awad Mohamed, Roberta Totani, Monica de Simone, Stefano Orlando, Thomas Pfeifer, Fabrizio Nicastro, Marcello Coreno, Jos\'e R. Crespo L\'opez-Urrutia
Nondipole Contributions to Attosecond Chiral Photoionization Asymmetries
Zheming Zhou, Yang Li, Yueming Zhou, Peixiang Lu
https://arxiv.org/abs/2607.00598 https://
Nuclear-size correction to the one-loop self-energy in hydrogenlike ions
Ping Yang, Aleksei V. Malyshev, Aleksandr N. Kochnev, Vladimir M. Shabaev, Aleksandr S. Shamanaev, Ting-Yun Shi, Dmitry V. Sychkov
https://arxiv.org/abs/2607.00554
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