Tootfinder

Abinit 2025: New Capabilities for the Predictive Modeling of Solids and Nanomaterials
Matthieu J. Verstraete, Joao Abreu, Guillaume E. Allemand, Bernard Amadon, Gabriel Antonius, Maryam Azizi, Lucas Baguet, Clementine Barat, Louis Bastogne, Romuald Bejaud, Jean-Michel Beuken, Jordan Bieder, Augustin Blanchet, Francois Bottin, Johann Bouchet, Julien Bouquiaux, Eric Bousquet, James Boust, Fabien Brieuc, Veronique Brousseau-Couture, Nils Brouwer Fabien Bruneval, Alois Castellano, Emmanuel…

Abinit 2025: New Capabilities for the Predictive Modeling of Solids and Nanomaterials
Abinit is a widely used scientific software package implementing density functional theory and many related functionalities for excited states and response properties. This paper presents the novel features and capabilities, both technical and scientific, which have been implemented over the past 5 years. This evolution occurred in the context of evolving hardware platforms, high-throughput calculation campaigns, and the growing use of machine learning to predict properties based on databases o…

Prescott's summer flings to bubble WR will need to morph into substantial contributions https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/06/09/dallas-cowboys-player-profile-wr-jalen-brooks/…

🇺🇦 #NowPlaying on BBCRadio3's #NightTracks
Julianna Barwick:
🎵 Inspirit (Takuya's Ryuteki Dragons)
#JuliannaBarwick
https://open.spotify.com/track/2ZrCLJz5UGbJCW2JK2OgkK

Resa: Transparent Reasoning Models via SAEs
Shangshang Wang, Julian Asilis, \"Omer Faruk Akg\"ul, Enes Burak Bilgin, Ollie Liu, Deqing Fu, Willie Neiswanger
https://arxiv.org/abs/2506.09967

Resa: Transparent Reasoning Models via SAEs
How cost-effectively can we elicit strong reasoning in language models by leveraging their underlying representations? We answer this question with Resa, a family of 1.5B reasoning models trained via a novel and efficient sparse autoencoder tuning (SAE-Tuning) procedure. This method first trains an SAE to capture reasoning abilities from a source model, and then uses the trained SAE to guide a standard supervised fine-tuning process to elicit such abilities in a target model, all using verified…

cVLA: Towards Efficient Camera-Space VLAs
Max Argus, Jelena Bratulic, Houman Masnavi, Maxim Velikanov, Nick Heppert, Abhinav Valada, Thomas Brox
https://arxiv.org/abs/2507.02190

cVLA: Towards Efficient Camera-Space VLAs
Vision-Language-Action (VLA) models offer a compelling framework for tackling complex robotic manipulation tasks, but they are often expensive to train. In this paper, we propose a novel VLA approach that leverages the competitive performance of Vision Language Models (VLMs) on 2D images to directly infer robot end-effector poses in image frame coordinates. Unlike prior VLA models that output low-level controls, our model predicts trajectory waypoints, making it both more efficient to train and…

A combined Machine Learning and Finite Element Modelling tool for the surgical planning of craniosynostosis correction
Itxasne Ant\'unez S\'aenz, Ane Alberdi Aramendi, David Dunaway, Juling Ong, Lara Deli\`ege, Amparo S\'aenz, Anita Ahmadi Birjandi, Noor UI Owase Jeelani, Silvia Schievano, Alessandro Borghi
https://a…

A combined Machine Learning and Finite Element Modelling tool for the surgical planning of craniosynostosis correction
Craniosynostosis is a medical condition that affects the growth of babies' heads, caused by an early fusion of cranial sutures. In recent decades, surgical treatments for craniosynostosis have significantly improved, leading to reduced invasiveness, faster recovery, and less blood loss. At Great Ormond Street Hospital (GOSH), the main surgical treatment for patients diagnosed with sagittal craniosynostosis (SC) is spring assisted cranioplasty (SAC). This procedure involves a 15x15 mm2 osteotomy…

One lingering question for every NFL team as the league's summer break begins https://www.nytimes.com/athletic/6458636/2025/06/30/nfl-2025-training-camp-offseason-news/

A Ground-Based Transit Observation of the Long-Period Extremely Low-Density Planet HIP 41378 f
Juliana Garc\'ia-Mej\'ia, Zo\"e L. de Beurs, Patrick Tamburo, Andrew Vanderburg, David Charbonneau, Karen A. Collins, Khalid Barkaoui, Cristilyn N. Watkins, Chris Stockdale, Richard P. Schwarz, Raquel For\'es-Toribio, Jose A. Mu\~noz, Giovanni Isopi, Franco Mallia, Aldo Zapparata, Adam Popowicz, Andrzej Brudny, Eric Agol, Munazza K. Alam, Zouhair Benkhaldoun, Jehin Emmanuel, …

A Ground-Based Transit Observation of the Long-Period Extremely Low-Density Planet HIP 41378 f
We present a ground-based transit detection of HIP 41378 f, a long-period ($P = 542$ days), extremely low-density ($0.09 \pm 0.02$ g cm$^{-3}$) giant exoplanet in a dynamically complex system. Using photometry from Tierras, TRAPPIST-North, and multiple LCOGT sites, we constrain the transit center time to $T_{C,6} = 2460438.889 \pm 0.049$ BJD TDB. This marks only the second ground-based detection of HIP 41378 f, currently the longest-period and longest-duration transiting exoplanet observed from…

The effects of continuum fitting on Lyman-$\alpha$ forest correlations
Nicolas Busca, James Rich, Julian Bautista, Andrei Cuceu, Andreu Font-Ribera, Julien Guy, Hiram K. Herrera-Alcantar, Julianna Stermer, Christophe Balland, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, T. Claybaugh, A. de la Macorra, P. Doel, S. Ferraro, J. E. Forero-Romero, E. Gazta\~naga, C. Gordon, G. Gutierrez, M. Ishak, R. Kehoe, D. Kirkby, A. Kremin, M. Landriau, L. Le Guillou, C. Magneville, P. Martini, R. Miqu…

The effects of continuum fitting on Lyman-$α$ forest correlations
Correlations of fluctuations of the flux in Lyman-$α$ forests of high-redshift quasars have been observed by the Baryonic Acoustic Oscillation Spectroscopy Survey (BOSS) and the Dark Energy Spectroscopy Instrument (DESI) survey where they have revealed the effects of baryon acoustic oscillations (BAO). In order to fit the correlation functions to a physical model and thereby constrain cosmological parameters, it is necessary to take into account the effects of fitting the observed spectra to a…

One lingering question for every NFL team as the league's summer break begins https://www.nytimes.com/athletic/6458636/2025/06/30/nfl-2025-training-camp-offseason-news/