Tootfinder

Violation of Spin Paramagnetic limit in Bi/Ni Bilayer
Gabriel Sant'Ana, Leonardo Pessoa da Silva, Pedro Schio, David M\"ockli, Jan Aarts, Kaveh Lahabi, Milton A. Tumelero
https://arxiv.org/abs/2509.14590

Violation of Spin Paramagnetic limit in Bi/Ni Bilayer
We report a violation of the spin-paramagnetic limit in the in-plane upper critical field ($B_{C2}^{\parallel}$) in Bi(10 nm)/Ni(1 nm) bilayers grown by molecular beam epitaxy (MBE). Superconductivity emerges at the interface through the formation of an ultrathin NiBi$_3$ layer, which hosts a remarkably robust superconducting state under in-plane magnetic fields. To account for the $B_{C2}^{\parallel}$ enhancement, we evaluate two-dimensional (2D) superconductivity models incorporating spin-orb…

:-(
Philippe de Villiers, l’aiguillon de Vincent Bolloré en vue de 2027
https://www.lemonde.fr/politique/article/2025/10/12/philippe-de-villiers-l-aiguillon-de-vincent-bollore-en-vue-de-2027_664589…

Philippe de Villiers, l’aiguillon de Vincent Bolloré en vue de 2027
Outrageusement promu par le groupe du milliardaire breton, le souverainiste au discours radical connaît un regain de popularité inattendu à l’extrême droite. De quoi peser sur la prochaine campagne présidentielle.

The spin Hall conductivity in the hole-doped bilayer Haldane-Hubbard model with odd-parity ALM
Minghuan Zeng, Ling Qin, Shiping Feng, Dong-Hui Xu, Rui Wang
https://arxiv.org/abs/2510.12602

The spin Hall conductivity in the hole-doped bilayer Haldane-Hubbard model with odd-parity ALM
Spin current generated electrically is among the core phenomena of spintronics for driving high-performance spin device applications. Here, on the basis of systematic investigations for the hole doped single-layer Haldane-Hubbard(HH) model, we propose a new bilayer HH model to realize the compensated odd-parity spin splitting and the $T$-even spin Hall conductivity where the two layers are connected by the time reversal transformation. Our results show that the vanishing layer-dependent electri…

Unusual ferromagnetic band evolution and high Curie temperature in monolayer 1T-CrTe2 on bilayer graphene
Kyoungree Park, Ji-Eun Lee, Dongwook Kim, Yong Zhong, Camron Farhang, Hyobeom Lee, Hayoon Im, Woojin Choi, Seha Lee, Seungrok Mun, Kyoo Kim, Jun Woo Choi, Hyejin Ryu, Jing Xia, Heung-Sik Kim, Choongyu Hwang, Ji Hoon Shim, Zhi-Xun Shen, Sung-Kwan Mo, Jinwoong Hwang

Unusual ferromagnetic band evolution and high Curie temperature in monolayer 1T-CrTe2 on bilayer graphene
2D van der Waals ferromagnets hold immense promise for spintronic applications due to their controllability and versatility. Despite their significance, the realization and in-depth characterization of ferromagnetic materials in atomically thin single layers, close to the true 2D limit, has been scarce. Here, a successful synthesis of monolayer (ML) 1T-CrTe2 is reported on a bilayer graphene (BLG) substrate via molecular beam epitaxy. Using angle-resolved photoemission spectroscopy and magneto-…

Relativistic Mott transition, high-order van Hove singularity, and mean-field phase diagram of twisted double bilayer WSe${}_2$
Bilal Hawashin, Julian Kleeschulte, David Kurz, Michael M. Scherer
https://arxiv.org/abs/2509.09398

Relativistic Mott transition, high-order van Hove singularity, and mean-field phase diagram of twisted double bilayer WSe${}_2$
Recent experiments on twisted double bilayer tungsten diselenide have demonstrated that moiré semiconductors can be used to realize a relativistic Mott transition, i.e., a quantum phase transition from a Dirac semimetal to a correlated insulating state, by twist-angle tuning. In addition, signatures of van Hove singularities were observed in the material's moiré valence bands, suggesting further potential for the emergence of strongly-correlated states in this moiré semiconductor. Based on a…

Optimizing Convolution Direction and Template Selection for Difference Image Analysis
Rodrigo Angulo, Armin Rest, William P. Blair, Jacob Jencson, David A. Coulter, Qinan Wang, Ryan J. Foley, Charles D. Kilpatrick, Xiaolong Li, Anthony L. Piro
https://arxiv.org/abs/2508.10155

Optimizing Convolution Direction and Template Selection for Difference Image Analysis
Difference image analysis (DIA) is a powerful tool for studying time-variable phenomena, and has been used by many time-domain surveys. Most DIA algorithms involve matching the spatially-varying PSF shape between science and template images, and then convolving that shape in one image to match the other. The wrong choice of which image to convolve can introduce one of the largest sources of artifacts in the final difference image. We introduce a quantitative metric to determine the optimal conv…

Towards Sharper Object Boundaries in Self-Supervised Depth Estimation
Aur\'elien Cecille, Stefan Duffner, Franck Davoine, R\'emi Agier, Thibault Neveu
https://arxiv.org/abs/2509.15987

Towards Sharper Object Boundaries in Self-Supervised Depth Estimation
Accurate monocular depth estimation is crucial for 3D scene understanding, but existing methods often blur depth at object boundaries, introducing spurious intermediate 3D points. While achieving sharp edges usually requires very fine-grained supervision, our method produces crisp depth discontinuities using only self-supervision. Specifically, we model per-pixel depth as a mixture distribution, capturing multiple plausible depths and shifting uncertainty from direct regression to the mixture w…

Developer Insights into Designing AI-Based Computer Perception Tools
Maya Guhan (Center for Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA), Meghan E. Hurley (Center for Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA), Eric A. Storch (Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA), John Herrington (Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospita…

Developer Insights into Designing AI-Based Computer Perception Tools
Artificial intelligence (AI)-based computer perception (CP) technologies use mobile sensors to collect behavioral and physiological data for clinical decision-making. These tools can reshape how clinical knowledge is generated and interpreted. However, effective integration of these tools into clinical workflows depends on how developers balance clinical utility with user acceptability and trustworthiness. Our study presents findings from 20 in-depth interviews with developers of AI-based CP to…

DiffCamera: Arbitrary Refocusing on Images
Yiyang Wang, Xi Chen, Xiaogang Xu, Yu Liu, Hengshuang Zhao
https://arxiv.org/abs/2509.26599 https://arxiv.org/pd…

DiffCamera: Arbitrary Refocusing on Images
The depth-of-field (DoF) effect, which introduces aesthetically pleasing blur, enhances photographic quality but is fixed and difficult to modify once the image has been created. This becomes problematic when the applied blur is undesirable~(e.g., the subject is out of focus). To address this, we propose DiffCamera, a model that enables flexible refocusing of a created image conditioned on an arbitrary new focus point and a blur level. Specifically, we design a diffusion transformer framework f…

Emerging Ferroelectric Domains: Stacking and Rotational Landscape of MoS2 Moire Bilayers
Anikeya Aditya, Ayu Irie, Nabankur Dasgupta, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta
https://arxiv.org/abs/2510.10831

Emerging Ferroelectric Domains: Stacking and Rotational Landscape of MoS2 Moire Bilayers
The structures and properties of moire patterns in twisted bilayers of two-dimensional (2D) materials are known to depend sensitively on twist angle, yet their dependence on stacking order remains comparatively underexplored. In this study, we use molecular dynamics simulations to systematically investigate the combined effects of stacking order and rotation in MoS2 bilayers. Beginning from five well-established high-symmetry bilayer stackings, we apply twist angles between 1 and 120 to the top…