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Uniform Sampling of Surfaces by Casting Rays
Selena Ling, Abhishek Madan, Nicholas Sharp, Alec Jacobson
https://arxiv.org/abs/2506.05268 https://

Uniform Sampling of Surfaces by Casting Rays
Randomly sampling points on surfaces is an essential operation in geometry processing. This sampling is computationally straightforward on explicit meshes, but it is much more difficult on other shape representations, such as widely-used implicit surfaces. This work studies a simple and general scheme for sampling points on a surface, which is derived from a connection to the intersections of random rays with the surface. Concretely, given a subroutine to cast a ray against a surface and find a…

Gate-tunable spectrum and charge dispersion mitigation in a graphene superconducting qubit
Nicolas Aparicio, Simon Messelot, Edgar Bonet-Orozco, Eric Eyraud, Kenji Watanabe, Takashi Taniguchi, Johann Coraux, Julien Renard
https://arxiv.org/abs/2506.04959

Gate-tunable spectrum and charge dispersion mitigation in a graphene superconducting qubit
Controlling the energy spectrum of quantum-coherent superconducting circuits, i.e. the energies of excited states, the circuit anharmonicity and the states' charge dispersion, is essential for designing performant qubits. This control is usually achieved by adjusting the circuit's geometry. In-situ control is traditionally obtained via an external magnetic field, in the case of tunnel Josephson junctions. More recently, semiconductor-weak-links-based Josephson junctions have emerged as an alter…

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Gerald Finzi, Aurora Orchestra & Nicholas Collon:
🎵 Romance Op.11
#GeraldFinzi #AuroraOrchestra #NicholasCollon

This https://arxiv.org/abs/2412.03824 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Towards Data Governance of Frontier AI Models
Data is essential to train and fine-tune today's frontier artificial intelligence (AI) models and to develop future ones. To date, academic, legal, and regulatory work has primarily addressed how data can directly harm consumers and creators, such as through privacy breaches, copyright infringements, and bias and discrimination. Our work, instead, focuses on the comparatively neglected question of how data can enable new governance capacities for frontier AI models. This approach for "frontier …

This https://arxiv.org/abs/2309.11874 has been replaced.
initial toot: https://mastoxiv.page/@a…

Two-carrier description of cuprate superconductors from NMR
Cuprates currently hold the record for the highest temperature superconductivity at ambient pressure, but the microscopic understanding of these materials remains elusive. Here we utilize nuclear magnetic resonance (NMR) data of planar oxygen and copper from essentially all hole-doped cuprates to provide a universal phenomenology relating the NMR spin shifts, which measure the electronic spin polarization at a given nucleus, with the superconducting dome and maximum critical temperature. We dem…

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability
Genta Indra Winata, David Anugraha, Emmy Liu, Alham Fikri Aji, Shou-Yi Hung, Aditya Parashar, Patrick Amadeus Irawan, Ruochen Zhang, Zheng-Xin Yong, Jan Christian Blaise Cruz, Niklas Muennighoff, Seungone Kim, Hanyang Zhao, Sudipta Kar, Kezia Erina Suryoraharjo, M. Farid Adilazuarda, En-Shiun Annie Lee, Ayu Purwarianti, Derry Tanti Wijaya, Monojit Choudhury

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability
High-quality datasets are fundamental to training and evaluating machine learning models, yet their creation-especially with accurate human annotations-remains a significant challenge. Many dataset paper submissions lack originality, diversity, or rigorous quality control, and these shortcomings are often overlooked during peer review. Submissions also frequently omit essential details about dataset construction and properties. While existing tools such as datasheets aim to promote transparency…

OLi3-decorated Irida-graphene for High-capacity Hydrogen Storage: A First-principles Study
Jose A. S. Laranjeira, Warda Elaggoune, Nicolas F. Martins, Xihao Chen, Julio R. Sambrano
https://arxiv.org/abs/2506.02375

OLi3-decorated Irida-graphene for High-capacity Hydrogen Storage: A First-principles Study
Efficient hydrogen storage in solid-state materials is essential for next-generation energy systems, yet achieving a high gravimetric capacity with optimal adsorption characteristics remains a critical challenge. Although Li-decorated irida-graphene (IG) has shown promising hydrogen storage potential, its capacity is limited to $\sim$ 7wt\%, which, despite exceeding the U.S. DOE target, remains inadequate for large-scale applications. Additionally, Li clustering over extended cycles may comprom…

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Wolfgang Amadeus Mozart, Nikolaus Harnoncourt, Royal Concertgebouw Orchestra, Barbara Bonney & Charlotte Margiono:
🎵 Le nozze di Figaro : Act 3 "Sull'aria ... Che soave zeffiretto" [La Contessa, Su
https://open.spotify.com/track/0439DZVsZ4wBTrCUmTPIlI

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Richard Strauss, Joy Farrall, Julie Andrews, Britten Sinfonia & Nicholas Cleobury:
🎵 Duett-Concertino for Clarinet, Bassoon and Strings
#RichardStrauss #JoyFarrall
https://open.spotify.com/track/043TZcUauDtnVUWJV4A08T

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Edwin York Bowen & Nicolas Namoradze:
🎵 Concert study no.2 in F major
#EdwinYorkBowen #NicolasNamoradze