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
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/
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…
@…
Foot of the page, the info@ email address should be good enough.
IIRC the page was OK in the past. <https://web.…
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
[2026-07-01 Wed (UTC), 3 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Crosslisted article(s) found for math.CV. https://arxiv.org/list/math.CV/new
[1/1]:
- Scalar Curvature, Volumes and the Bergman Kernel
Bo-Yong Chen, Yuanpu Xiong, Liyou Zhang
https://arxiv.org/abs/2606.01153 https://mastoxiv.page/@arXiv_mathDG_bot/116679443889586205
- A natural e\~ne product construction of the Big Witt ring
Daniel Barsky, Ricardo Perez-Marco, Jean-Pierre Ramis
https://arxiv.org/abs/2606.01395 https://mastoxiv.page/@arXiv_mathRA_bot/116679451585777679
- Infinitely many holes in connectedness loci for collinear affine iterated function systems
Bernat Espigule
https://arxiv.org/abs/2606.01467 https://mastoxiv.page/@arXiv_mathDS_bot/116679410071504745
toXiv_bot_toot
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
Replaced article(s) found for math.AT. https://arxiv.org/list/math.AT/new
[1/1]:
- Low-degree mod 2 cohomology of classifying spaces of $G_2$-gauge groups
Dang Vo Phuc
There's a statistical test called Page's trend test, for testing whether a predicted *ordering* holds — so it would be funny if it were to get renamed to "Page's rank".
https://en.wikipedia.org/wiki/Page's_trend_test
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
edit_wiktionary: Wiktionary edits (2010)
Three bipartite user-page networks extracted from Wiktionary, for French, German, and English. 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 1361 nodes and 4497 edges.
Tags: Informational, Web graph, Multigraph, Timestamps
@… oh, thanks!
Sorry, I should have been clearer: FreeBSD-ports-kmods should also be before, not after, the first boot of 15.1 …
… this is also missing from the official upgrading page at <https://www.
I released picolibc 1.8.12 today. Thanks to all who contributed; I'm doing less and less of the work, which is fabulous.
Linked from the picolibc home page https://keithp.com/picolibc/ and github
That feeling when your renderer can handle a component that outputs HTML inside link text in Markdown that’s embedded in HTML.
(Yes, I’m bragging.)
#Kitten #SmallWeb #SmallTech
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
#FurbNET wap home page is done! http://wap.furbnet.com/index.iva
if anyone has any WAP capable devices i'd love to see how it looks! :)
#FurbNET wap home page is done! http://wap.furbnet.com/index.iva
if anyone has any WAP capable devices i'd love to see how it looks! :)
The Trump regime is trying to usher in a “Golden Age in Science”
where scientific research is run like a Trump family business,
artificial intelligence is all that matters,
profit is everything,
and expertise is for chumps.
Or at least that’s the vision emerging from a new 123-page “Report to the President” from Michael Kratsios,
the Director of the White House Office of Science and Technology Policy.
In a normal administration, you could probably sk…
Characterizing Metastable Faults and Failures
Ali Farahbakhsh (Cornell University), Qingjie Lu (University of Pennsylvania), Lorenzo Alvisi (Cornell University), Andreas Haeberlen (University of Pennsylvania), Robbert Van Renesse (Cornell University)
https://arxiv.org/abs/2606.00942 https://arxiv.org/pdf/2606.00942 https://arxiv.org/html/2606.00942
arXiv:2606.00942v1 Announce Type: new
Abstract: Metastable failures are hard to detect, prevent, and mitigate. During a metastable failure, a system exhibits self-sustaining bad behavior even in the absence of adversarial conditions. Prior work focuses on symptoms and has portrayed metastable failures as instances of self-sustaining overload. This characterization leaves the underlying failure causes and dynamics unknown, and does not account for metastable failures that do not manifest as overload. We present the first causal characterization of metastable failures by identifying their origin in metastable faults, i.e., structural destabilizing cycles of interaction among systems components that, in isolation, are stabilizing. Metastable failures arise when scheduling decisions let these destabilizing interactions gain the upper hand over the individual components' stabilizing tendencies. We then derive a methodology to predict metastable failures, and to build metastable-fault-tolerant (MFT) systems. We apply our methodology to three case studies, showcasing the generality of our results.
toXiv_bot_toot
[2026-06-02 Tue (UTC), no new articles found for q-fin.RM Risk Management]
toXiv_bot_toot
[2026-07-02 Thu (UTC), 6 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Replaced article(s) found for math.CV. https://arxiv.org/list/math.CV/new
[1/1]:
- Quantization of K\"ahler manifolds via differential operators
Kwokwai Chan, Naichung Conan Leung, Qin Li, Yutung Yau
https://arxiv.org/abs/2511.16889 https://mastoxiv.page/@arXiv_mathDG_bot/115603588434367651
- Planar $W^{1,\,1}$-extension domains
Pekka Koskela, Tapio Rajala, Yi Ru-Ya Zhang
https://arxiv.org/abs/2512.09167 https://mastoxiv.page/@arXiv_mathFA_bot/115699861520267528
- The Kobayashi-Hitchin correspondence for nef and big classes
Satoshi Jinnouchi
https://arxiv.org/abs/2603.10312 https://mastoxiv.page/@arXiv_mathDG_bot/116215312082065439
toXiv_bot_toot
Crosslisted article(s) found for math.AT. https://arxiv.org/list/math.AT/new
[1/1]:
- Towards fast computation of higher discrete homology
Jacob Ender, Chris Kapulkin
[2026-07-02 Thu (UTC), 1 new article found for physics.geo-ph Geophysics]
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
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
📰 Einem US-amerikanischen Konzern Geld aus der Tasche zu leiern, um damit Hosting-Rechnungen zu bezahlen, kann man machen.
Aber viel schöner und besser ist die Unterstützung durch die Community.
Dank Euch kann ich die Amazon-Affiliate-Links jetzt schrittweise löschen. Dauert, aber das Jahr ist noch jung. 😁
Bitte unterstütze meine Arbeit weiterhin mit einer #Steady-Fördermitglied…
[2026-06-02 Tue (UTC), 1 new article found for math.GN General Topology]
toXiv_bot_toot
[2026-07-01 Wed (UTC), 1 new article found for physics.geo-ph Geophysics]
toXiv_bot_toot
Cesium Based Laser-Atomic Oscillator
Saurabh Pandey, Roger Ding, George Burns, Yuan-Yu Jau
https://arxiv.org/abs/2606.32019 https://arxiv.org/pdf/2606.3201…
I am reminded of the time AudioEye filed a SLAPP against me and its attorneys used untagged PDFs to do so.
IMO [added the ‘IMO’ because AudioEye are litigious bastards and might claim I’m implying a legal ruling happened and that I’m more of a filthy liar than they are], an indictment of AudioEye’s accessibility capability and both its and its attorney’s ethics.
Anyway, useful nuggets are littered throughout the book, in case you don’t have it:
If I do say so myself, I do love expressive I can be with Kitten.
This is me injecting raw HTML markup into a Markdown code block in a Kitten Markdown page to highlight specific lines in a code block¹.
(The string interpolation of the HTML as an array is a hack that bypasses Kitten’s default sanitisation and should only be used with trusted content.)
PS. I’m going through all the tutorials on the site to update them to reflect the current state of Kitten after the three-mon…
Idleness is Relative: Exploiting Tool-Call Idle Windows for Offloading in Agentic Systems with MORI
Tian Xia, Hanchen Li, Zhifei Li, Xiaokun Chen, Hao Kang, Yifan Qiao, Yi Xu, Ion Stoica
https://arxiv.org/abs/2606.00866 https://arxiv.org/pdf/2606.00866 https://arxiv.org/html/2606.00866
arXiv:2606.00866v1 Announce Type: new
Abstract: Modern LLM serving systems increasingly host agentic workloads, whose sessions issue tens of model invocations interleaved with tool calls, accumulating KV cache that can be reused across steps. As requests' total KV cache size easily exceeds GPU HBM capacity, researchers offload them to CPU DRAM. However, tool-call durations span orders of magnitude, and the cost of transferring KV cache between tiers makes it impractical to re-place entries on every call. We observe that agentic programs exhibit a two-phase structure: busy phases of rapid short tool calls and idle phases dominated by long-running calls. Current eviction policies such as LRU fail to capture this property. A binary busy/idle label also falls short because the ratio of busy to idle programs may not match the hardware's GPU-to-CPU capacity ratio. When it does not, one tier sits underutilized while the other is oversubscribed, wasting memory or forcing unnecessary evictions. We present MORI, an agent serving system that solves the above problem. Our key insight is that idleness is a continuous, relative spectrum. MORI ranks all active programs by idleness, assigns the busiest to GPU HBM and the most idle to CPU DRAM, dynamically shifts the partition boundary to match hardware capacity, and enforces admission control at each memory tier. Evaluated on real coding agent workloads collected from Claude Code across four GPU and model pairs, MORI delivers 20--71% higher throughput and 18--43% lower TTFT than the best baseline with offloading.
toXiv_bot_toot
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
Interplay of the channel-closing and bound-bound transition resonances in multiphoton ionization and harmonic generation in intense laser pulses
A. D. Krupin, V. V. Strelkov, M. Yu. Ryabikin
https://arxiv.org/abs/2606.30873
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
[2026-06-01 Mon (UTC), no new articles found for math.GN General Topology]
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
Precision Measurement of the Saturation Intensity in Rubidium at 420 nm
Shivam Sinha, Sumit Achar, Sateesh S., Arijit Sharma
https://arxiv.org/abs/2606.30871 https://
[2026-07-02 Thu (UTC), 4 new articles found for physics.comp-ph Computational Physics]
toXiv_bot_toot
$L^p$-boundedness of Berezin transforms on generalized Hartogs triangles
Qian Fu
https://arxiv.org/abs/2606.02364 https://arxiv.org/pdf/2606.02364 https://arxiv.org/html/2606.02364
arXiv:2606.02364v1 Announce Type: new
Abstract: Let $m,l\in\N$ be relatively prime and let \[ \Omega_{m/l}^{n 1}=\bigl\{(z,w)\in\C^n\times\C:\ \norm{z}^{m}<\abs{w}^{l}<1\bigr\} \] be the rational generalized Hartogs triangle of exponent $m/l$ in $\C^{n 1}$. In this paper, we study the Berezin transform $\BB_{m/l,n}$ associated with the Bergman kernel of $\Omega_{m/l}^{n 1}$, and prove that $\BB_{m/l,n}$ is bounded on $L^p(\Omega_{m/l}^{n 1})$ if and only if $p>m nl$.
toXiv_bot_toot
Edge-Based QoS-Aware Adaptive Task Placement: A Closed-Loop Control in Multi-Robot Systems
Thien Tran, Jonathan Kua, Thuong Hoang, Minh Tran, Honghao Lyu, Jiong Jin
https://arxiv.org/abs/2606.00552 https://arxiv.org/pdf/2606.00552 https://arxiv.org/html/2606.00552
arXiv:2606.00552v1 Announce Type: new
Abstract: Multi-robot systems (MRS) increasingly offload compute-intensive perception tasks to edge nodes to meet strict time-sensitive Quality-of-Service (QoS) constraints. However, static task orchestration on a shared edge node can severely degrade QoS due to network latency, jitter, and edge-resource contention. We present a pilot edge-centric MRS testbed using Raspberry Pi nodes to evaluate a camera-to-manipulator pipeline under three modes: local execution, static offloading, and a QoS-aware Adaptive Task Placement (ATP) controller. ATP scores candidate placements using a multi-metric cost (normalized latency, CPU utilization, and switching overhead) over two-second control windows. The closed-loop visual servoing testbed is instrumented with sub-millisecond clock synchronization, network emulation, and detailed monitoring of multiple metrics across nodes to capture realistic jitter. Experimental results under compute-stress and network-fault scenarios show that static edge offloading reduces on-board CPU load but amplifies tail latency and deadline misses. In contrast, the QoS-aware ATP controller, by switching task placement based on measured latency and utilization thresholds, consistently lowers deadline violations and tail latency. Overall, the results position ATP as a practical edge-side control primitive for MRS and concrete design guidelines for Cloud-Edge Robotics deployments within the broader cloud-fog automation, while motivating QoS-aware multi-objective workload orchestration for industrial cyber-physical systems.
toXiv_bot_toot
Crosslisted article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Probabilistic Inversion with Flow Matching
Baldur Paulwitz, Stefan Buske
https://arxiv.org/abs/2606.31288 https://mastoxiv.page/@arXiv_csLG_bot/116843787558583720
toXiv_bot_toot
[2026-07-01 Wed (UTC), 4 new articles found for physics.comp-ph Computational Physics]
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
Strong Localization of the Kobayashi-Eisenman Volume Element and Its Boundary Asymptotics
Ravi Shankar Jaiswal, Debaprasanna Kar
https://arxiv.org/abs/2606.01773 https://arxiv.org/pdf/2606.01773 https://arxiv.org/html/2606.01773
arXiv:2606.01773v1 Announce Type: new
Abstract: We establish a quantitative version of strong localization of the Kobayashi-Eisenman volume element and the quotient invariant near plurisubharmonic peak points of domains in $\mathbb{C}^n$. As an application of this strong localization result, we derive the non-tangential asymptotic limit of the Kobayashi-Eisenman volume element at exponentially flat infinite type boundary points of domains in $\mathbb{C}^{n 1}$.
toXiv_bot_toot
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
[2026-06-02 Tue (UTC), 3 new articles found for cs.OS Operating Systems]
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
Replaced article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Radial gradient of superionic hydrogen in Earth's inner core
Zepeng Wu, Liangrui Wei, Chen Gao, Shunqing Wu, Renata M. Wentzcovitch, Yang Sun
https://arxiv.org/abs/2602.03509
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
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
[2026-06-01 Mon (UTC), no new articles found for cs.OS Operating Systems]
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
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
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
Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Site-selective preparation of two-dimensional dipolar quantum gases in an optical beat-note lattice
Niclas H\"ollrigl, Marian Kreyer, Rudolf Grimm, Emil Kirilov
Conditional Normalizing Flow for Gas-Surface Scattering from Thermal to Hypersonic Velocities
Miklas Sch\"utte, Stephen Hocker, Hansj\"org Lipp, Johannes Roth, Stefanos Fasoulas, Marcel Pfeiffer
https://arxiv.org/abs/2606.31928 https://arxiv.org/pdf/2606.31928 https://arxiv.org/html/2606.31928
arXiv:2606.31928v1 Announce Type: new
Abstract: Accurate aerodynamic modeling of satellites in very low Earth orbit (VLEO) requires gas-surface interaction (GSI) models that capture the full velocity spectrum from thermal to orbital speeds. Atmospheric particles initially strike spacecraft surfaces at hypersonic velocities of 6 000 - 10 000 m/s. Due to surface roughness and complex geometries, especially within air-breathing electric propulsion (ABEP) intake systems, multiple collisions occur, progressively reducing the particle velocities. A recent machine learning framework for deriving scattering kernels from molecular dynamics (MD) simulations has shown promise, but remains limited to high-velocity single impacts and possibly violates fundamental equilibrium principles such as detailed balance. This work extends this machine learning based scattering kernel to cover the complete velocity range using conditional normalizing flows trained with physics-informed constraints, enabling accurate modeling of multi-bounce scenarios in realistic VLEO applications. We train a conditional Real-valued Non-Volume Preserving (cRealNVP) model on expanded molecular dynamics simulations covering velocities from thermal to hypersonic speeds, incorporating a detailed balance loss term. The resulting model demonstrates improved accuracy compared to previous approaches even in the original high-velocity regime, while successfully capturing thermal-velocity scattering. Quantitative assessment shows that thermalization is approximated within acceptable tolerances. This framework provides essential capabilities for accurate ABEP intake optimization and VLEO mission planning while offering a general methodology applicable to broader rarefied gas dynamics problems requiring thermodynamic consistency.
toXiv_bot_toot
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Deep Reinforcement Learning for Individual Atomic Control and Cooling
Peters, Wang, Spierings, Drucker, Chen, Bartlett, Chuang, Vuleti\'c
Navigating committor landscape of biomolecules with a general pairwise interaction model
Jintu Zhang, Zichang Jin, Huifeng Zhao, Kai Zhu, Bowei Zhao, Xujun Zhang, Peilin Kang, Tingjun Hou
https://arxiv.org/abs/2606.31832 https://arxiv.org/pdf/2606.31832 https://arxiv.org/html/2606.31832
arXiv:2606.31832v1 Announce Type: new
Abstract: Sampling rare conformation transitions between metastable states is a central challenge in atomistic simulations. While the committor function serve as an ideal reaction coordinate for driving enhanced sampling, their high-dimensional inputs and complex functional forms limit the efficacy of standard feedforward neural networks in modeling them. Inspired by recent breakthroughs in biomolecular structure prediction, we propose a novel committor learning framework grounded in the AlphaFold 3 paradigm. By integrating a lightweight, differentiable atom-level embedding with a simplified Pairformer architecture, our method inherently captures intricate dynamical features of diverse biosystems without requiring specialized prior knowledge. We demonstrate the superior expressiveness and accuracy of the proposed framework across multiple atomistic processes. For the folding of the chignolin mini-protein, our model reveals the finer-grained structure of its transition state ensemble (TSE) and a detailed bifurcated reaction mechanism. Furthermore, for calixarene host-guest systems, we develop a unified committor model that elucidates how ligand substituents regulate the ratio between distinct binding pathways, offering new perspectives for structure-based drug design.
toXiv_bot_toot
P3MaZe: a Mass-Zero constrained-dynamics formulation of particle-mesh electrostatics
Federica Troni, Violette Gontran, Davide Grassano, Sara Bonella
https://arxiv.org/abs/2606.31379 https://arxiv.org/pdf/2606.31379 https://arxiv.org/html/2606.31379
arXiv:2606.31379v1 Announce Type: new
Abstract: We introduce P3MaZe, a real-space particle-mesh electrostatic method that combines the standard short-range/long-range decomposition of Particle-Particle Particle-Mesh (P3M) electrostatics with the Mass-Zero constrained dynamics (MaZe) framework. In this formulation, the smooth long-range electrostatic potential is represented on a mesh as a zero-inertia auxiliary field, while the discretized Poisson equation is enforced as a holonomic constraint during molecular dynamics. By retaining the standard P3M decomposition, P3MaZe preserves the systematic accuracy controls associated with the real-space cutoff, the Ewald splitting, the mesh spacing, and the charge-assignment procedure, while replacing the conventional multigrid Poisson solver by a constrained correction problem. The method is validated for molten NaCl and simple point-charge flexible water (SPC/Fw). Structural, translational, collective, and rotational dynamical observables are in quantitative agreement with those obtained with established electrostatic methods, including real-space P3M, and Ewald summation. The constrained formulation consistently requires fewer multigrid iterations than the corresponding real-space P3M solver while retaining the expected linear scaling with system size. These results establish P3MaZe as a promising new direction for scalable real-space electrostatics in large-scale molecular simulations.
toXiv_bot_toot
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…
Relaxation of Incommensurate Structures via Quantum Models
Mengfan Tu, Huajie Chen, Daniel Massatt
https://arxiv.org/abs/2606.31104 https://arxiv.org/pdf/2606.31104 https://arxiv.org/html/2606.31104
arXiv:2606.31104v1 Announce Type: new
Abstract: Accurately modeling structural relaxation in incommensurate systems is intrinsically challenging due to the absence of global translational symmetry. In this work, we develop a variational quantum framework for structural relaxation in incommensurate Schr\"{o}dinger models, where displacement fields are formulated on the configuration space and the electronic Hamiltonian is represented in reciprocal space. This yields well-defined relaxed energy, local density of states, and forces through thermodynamic limits. We propose an anisotropic scattering-channel approximation, and prove exponential convergence of the approximate equilibria. Numerical experiments are performed to support the analysis and show that the model captures domain-wall formation and its impact on the electronic spectrum.
toXiv_bot_toot
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
[2026-07-02 Thu (UTC), 4 new articles found for physics.comp-ph Computational Physics]
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
[2026-07-01 Wed (UTC), 4 new articles found for physics.comp-ph Computational Physics]
toXiv_bot_toot
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
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…
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
[2026-06-01 Mon (UTC), no new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Conditional Normalizing Flow for Gas-Surface Scattering from Thermal to Hypersonic Velocities
Miklas Sch\"utte, Stephen Hocker, Hansj\"org Lipp, Johannes Roth, Stefanos Fasoulas, Marcel Pfeiffer
https://arxiv.org/abs/2606.31928
Non-destructive cavity readout of molecules for precision measurements
Alejandro Salas-Estrada, Silviu-Marian Udrescu, Geoffrey Zheng, Qian Wang, Arian Jadbabaie, Vladan Vuleti\'c, David DeMille, Ronald F. Garcia Ruiz, Edwin Pedrozo-Pe\~nafiel
https://arxiv.org/abs/2606.01743
Navigating committor landscape of biomolecules with a general pairwise interaction model
Jintu Zhang, Zichang Jin, Huifeng Zhao, Kai Zhu, Bowei Zhao, Xujun Zhang, Peilin Kang, Tingjun Hou
https://arxiv.org/abs/2606.31832
A tunable feedback-controlled magnetic trap for a magnet in free fall
Changhao Xu, Alexander Heidt, Mohammadreza Nematollahi, Christoph Lotz, Ernst Maria Rasel, Yan Liu, Wei Ji, Dmitry Budker
https://arxiv.org/abs/2606.01056
P3MaZe: a Mass-Zero constrained-dynamics formulation of particle-mesh electrostatics
Federica Troni, Violette Gontran, Davide Grassano, Sara Bonella
https://arxiv.org/abs/2606.31379
Relaxation of Incommensurate Structures via Quantum Models
Mengfan Tu, Huajie Chen, Daniel Massatt
https://arxiv.org/abs/2606.31104 https://arxiv.org/pdf/2…
Theory for the Rydberg states of helium: quantum defect extensions and comparison with experiment up to $n = 102$ for the singlet and triplet $P$-states
G. W. F. Drake, Aaron T. Bondy
https://arxiv.org/abs/2606.00814
Experimental observation of strong field stabilization
Anna R. Dardia, Spencer Walker, Yifei Bai, Petros Kousis, Alexandra S. Landsman, David M. Weld
https://arxiv.org/abs/2606.00242
[2026-06-02 Tue (UTC), 7 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
A Mid-Infrared Platform Based on Strontium Tweezer Arrays
Aaron Holman, Ximo Sun, Bojeong Seo, Joshua Corn, Zezheng Zhu, Yuan Xu, Jiahao Wu, Nanfang Yu, Dmytro Filin, Marianna Safronova, Sebastian Will
https://arxiv.org/abs/2606.02560
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
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
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
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 A…
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
@arXiv_physicscompph_bot@mastoxiv.page
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Full (visible) code:
export default () => kitten.html`
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Copyright (c) 2023-${new Date().getFullYear()}, Yours Truly.
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![2. The welcome message tells you that you can use the `.help` command for assistance. Run that and you will see a list that looks like the following:
```text
.break Sometimes you get stuck, this gets you out
.clear Alias for .break
.editor Enter editor mode
.exit Exit the REPL
.help Print this help message
${['<strong>']}.id Show your Small Web place ID (and create it and your secret if necessary).${['</strong>']}
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