Tootfinder

Proximity-induced flat bands and topological properties in a decorated diamond chain
K Shivanand Thakur, Vihodi Theuno, Amrita Mukherjee, Biplab Pal
https://arxiv.org/abs/2507.17821

Proximity-induced flat bands and topological properties in a decorated diamond chain
In the present study, we propose a unique scheme to generate and control multiple flat bands in a decorated diamond chain by using a strain-induced proximity effect between the diagonal sites of each diamond plaquette. This is in complete contrast to the conventional diamond chain, in which the interplay between the lattice topology and an external magnetic flux leads to an extreme localization of the single-particle states, producing the flat bands in the energy spectrum. Such a strain-induced…

High-Throughput Screening of 2D Photocatalyst Heterostructures with Suppressed Electron-Hole Recombination for Solar Water Splitting
Shivanand Yadav, Jainandan Kumar Modi, Raihan Ahammed, B. S. Bhadoria, Yogesh S. Chauhan, Amit Agarwal, Somnath Bhowmick
https://arxiv.org/abs/2508.17483

High-Throughput Screening of 2D Photocatalyst Heterostructures with Suppressed Electron-Hole Recombination for Solar Water Splitting
Efficient and scalable photocatalysts for solar water splitting remain a critical challenge in renewable energy research. The work presents a high-throughput first-principles discovery of two-dimensional (2D) type-II van der Waals heterostructures (vdWHs) optimized for visible-light-driven photocatalytic water splitting. We screened 482 heterostructures constructed from 60 experimentally realizable 2D monolayers and identified 148 stable type-II vdWHs with spatially separated valence and conduc…

Label Uncertainty for Ultrasound Segmentation
Malini Shivaram, Gautam Rajendrakumar Gare, Laura Hutchins, Jacob Duplantis, Thomas Deiss, Thales Nogueira Gomes, Thong Tran, Keyur H. Patel, Thomas H Fox, Amita Krishnan, Deva Ramanan, Bennett DeBoisblanc, Ricardo Rodriguez, John Galeotti
https://arxiv.org/abs/2508.15635

Label Uncertainty for Ultrasound Segmentation
In medical imaging, inter-observer variability among radiologists often introduces label uncertainty, particularly in modalities where visual interpretation is subjective. Lung ultrasound (LUS) is a prime example-it frequently presents a mixture of highly ambiguous regions and clearly discernible structures, making consistent annotation challenging even for experienced clinicians. In this work, we introduce a novel approach to both labeling and training AI models using expert-supplied, per-pixe…

Breaking even with magic: demonstration of a high-fidelity logical non-Clifford gate
Shival Dasu, Simon Burton, Karl Mayer, David Amaro, Justin A. Gerber, Kevin Gilmore, Dan Gresh, Davide DelVento, Andrew C. Potter, David Hayes
https://arxiv.org/abs/2506.14688

Breaking even with magic: demonstration of a high-fidelity logical non-Clifford gate
Encoding quantum information to protect it from errors is essential for performing large-scale quantum computations. Performing a universal set of quantum gates on encoded states demands a potentially large resource overhead and minimizing this overhead is key for the practical development of large-scale fault-tolerant quantum computers. We propose and experimentally implement a magic-state preparation protocol to fault-tolerantly prepare a pair of logical magic states in a [[6,2,2]] quantum er…

Replaced article(s) found for cond-mat.str-el. https://arxiv.org/list/cond-mat.str-el/new
[1/1]:
- Strain-Tunable Topological Phase Transitions in Line- and Split-Graph Flat-Band Lattices
Shivam Sharma, Amartya S. Banerjee

PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training
Seth Ockerman, Amal Gueroudji, Tanwi Mallick, Yixuan He, Line Pouchard, Robert Ross, Shivaram Venkataraman
https://arxiv.org/abs/2507.11683

PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training
Spatiotemporal graph neural networks (ST-GNNs) are powerful tools for modeling spatial and temporal data dependencies. However, their applications have been limited primarily to small-scale datasets because of memory constraints. While distributed training offers a solution, current frameworks lack support for spatiotemporal models and overlook the properties of spatiotemporal data. Informed by a scaling study on a large-scale workload, we present PyTorch Geometric Temporal Index (PGT-I), an ex…

AI for the Routine, Humans for the Complex: Accuracy-Driven Data Labelling with Mixed Integer Linear Programming
Mohammad Hossein Amini, Mehrdad Sabetzadeh, Shiva Nejati
https://arxiv.org/abs/2507.04990

AI for the Routine, Humans for the Complex: Accuracy-Driven Data Labelling with Mixed Integer Linear Programming
The scarcity of accurately labelled data remains a major challenge in deep learning (DL). Many DL approaches rely on semi-supervised methods, which focus on constructing large datasets that require only a minimal amount of human-labelled data. Since DL training algorithms can tolerate moderate label noise, it has generally been acceptable for the accuracy of labels in large training datasets to fall well short of a perfect 100%. However, when it comes to testing DL models, achieving high label …

Turning to Online Forums for Legal Information: A Case Study of GDPR's Legitimate Interests
Lin Kyi, Cristiana Santos, Sushil Ammanaghatta Shivakumar, Franziska Roesner, Asia Biega
https://arxiv.org/abs/2506.04260

Turning to Online Forums for Legal Information: A Case Study of GDPR's Legitimate Interests
Practitioners building online services and tools often turn to online forums such as Reddit, Law Stack Exchange, and Stack Overflow for legal guidance to ensure compliance with the GDPR. The legal information presented in these forums directly impact present-day industry practitioner's decisions. Online forums can serve as gateways that, depending on the accuracy and quality of the answers provided, may either support or undermine the protection of privacy and data protection fundamental rights…

NLO QCD effects on angular observables in $e^-p \to e^-(\nu_e)Hj$ in presence of non-standard $HVV$ couplings
Biswajit Das, Pramod Sharma, Ambresh Shivaji
https://arxiv.org/abs/2506.21472

NLO QCD effects on angular observables in $e^-p \to e^-(ν_e)Hj$ in presence of non-standard $HVV$ couplings
The single Higgs production in neutral-current (NC) and charged-current (CC) processes at an electron-proton ($ep$) collider is a useful channel to probe new physics effects in the Higgs coupling to vector boson ($HVV$). In this context, observables sensitive to non-standard couplings previously studied at leading order require improved theoretical precision through the inclusion of radiative corrections. In this work, we present a fully differential Higgs plus one jet production at next-to-lea…

New #Bandcamp Purchase!
Title: Shiva (Webra Remix)
Artist: Avalon & Waio
Link: https://bandcamp.com/pmarg