Tootfinder

Artificial Symmetry Breaking by Self-Interaction Error
Lin Hou, Cody Woods, Yanyong Wang, Jorge Vega Bazantes, Ruiqi Zhang, Shimin Zhang, Erik Alfredo Perez Caro, Yuan Ping, Timo Lebeda, Jianwei Sun
https://arxiv.org/abs/2506.20662

Artificial Symmetry Breaking by Self-Interaction Error
Symmetry is a cornerstone of quantum mechanics and materials theory, underpinning the classification of electronic states and the emergence of complex phenomena such as magnetism and superconductivity. While symmetry breaking in density functional theory can reveal strong electron correlation, it may also arise spuriously from self-interaction error (SIE), an intrinsic flaw in many approximate exchange-correlation functionals. In this work, we present clear evidence that SIE alone can induce ar…

Former Cowboys CB Kelvin Joseph faces wrongful death lawsuit in fatal motorcycle crash

https://www.cbssports.com/nfl/news/former-cow…

Power-law Emission-line Wings and Radiation-Driven Superwinds in Local Lyman Continuum Emitters
Lena Komarova, Sally Oey, Rui Marques-Chaves, Ricardo Amor\'in, Alaina Henry, Daniel Schaerer, Alberto Saldana-Lopez, Alexandra Le Reste, Claudia Scarlata, Matthew J. Hayes, Omkar Bait, Sanchayeeta Borthakur, Cody Carr, John Chisholm, Harry C. Ferguson, Vital Gutierrez Fernandez, Brian Fleming, Sophia R. Flury, Mauro Giavalisco, Andrea Grazian, Timothy Heckman, Anne E. Jaskot, Zhiyuan Ji…

Power-law Emission-line Wings and Radiation-Driven Superwinds in Local Lyman Continuum Emitters
We investigate broad emission-line wings, reaching velocities up to 800 km/s, observed in 26 galaxies with Lyman continuum (LyC) observations, primarily from the Low-redshift Lyman Continuum Survey (LzLCS). Using Magellan/MIKE, VLT/X-shooter, and WHT/ISIS high-resolution spectroscopy, we show that this fast gas appears to probe the dominant feedback mechanisms linked to LyC escape. We find that in 14 galaxies, the wings are best fit with power laws with slopes -3.5 to -1.6, with four others bes…

Ultra-low damping of the translational motion of a composite graphite particle in a magneto-gravitational trap
Connor E. Murphy (Department of Physics, Montana State University, Bozeman, MT), Cody Jessup (Department of Physics, Montana State University, Bozeman, MT), Tahereh Naderishahab (Department of Physics, Montana State University, Bozeman, MT), Leonardo R. Werneck (Department of Physics, University of Idaho, Moscow, ID), Zachariah B. Etienne (Department of Physics, University of …

Ultra-low damping of the translational motion of a composite graphite particle in a magneto-gravitational trap
We demonstrate an ultra-low dissipation, one-dimensional mechanical oscillator formed by levitating a millimeter-scale composite graphite particle in a room-temperature magneto-gravitational trap. The trap's magnetic field geometry, based on a linear quadrupole, eliminates first-order field gradients in the axial direction, yielding a low oscillation frequency with negligibly low eddy-current losses. Direct ring-down measurements under vacuum compare the damping of the vertical and axial motion…

Can Pretrained Vision-Language Embeddings Alone Guide Robot Navigation?
Nitesh Subedi, Adam Haroon, Shreyan Ganguly, Samuel T. K. Tetteh, Prajwal Koirala, Cody Fleming, Soumik Sarkar
https://arxiv.org/abs/2506.14507

Can Pretrained Vision-Language Embeddings Alone Guide Robot Navigation?
Foundation models have revolutionized robotics by providing rich semantic representations without task-specific training. While many approaches integrate pretrained vision-language models (VLMs) with specialized navigation architectures, the fundamental question remains: can these pretrained embeddings alone successfully guide navigation without additional fine-tuning or specialized modules? We present a minimalist framework that decouples this question by training a behavior cloning policy dir…

What do professional software developers need to know to succeed in an age of Artificial Intelligence?
Matthew Kam, Cody Miller, Miaoxin Wang, Abey Tidwell, Irene A. Lee, Joyce Malyn-Smith, Beatriz Perez, Vikram Tiwari, Joshua Kenitzer, Andrew Macvean, Erin Barrar
https://arxiv.org/abs/2506.00202…

What do professional software developers need to know to succeed in an age of Artificial Intelligence?
Generative AI is showing early evidence of productivity gains for software developers, but concerns persist regarding workforce disruption and deskilling. We describe our research with 21 developers at the cutting edge of using AI, summarizing 12 of their work goals we uncovered, together with 75 associated tasks and the skills & knowledge for each, illustrating how developers use AI at work. From all of these, we distilled our findings in the form of 5 insights. We found that the skills & know…