Tootfinder

Now More Than Ever, Foundational AI Research and Infrastructure Depends on the Federal Government
Michela Taufer, Rada Mihalcea, Matthew Turk, Dan Lopresti, Adam Wierman, Kevin Butler, Sven Koenig, David Danks, William Gropp, Manish Parashar, Yolanda Gil, Bill Regli, Rajmohan Rajaraman, David Jensen, Nadya Bliss, Mary Lou Maher
https://

Now More Than Ever, Foundational AI Research and Infrastructure Depends on the Federal Government
Leadership in the field of AI is vital for our nation's economy and security. Maintaining this leadership requires investments by the federal government. The federal investment in foundation AI research is essential for U.S. leadership in the field. Providing accessible AI infrastructure will benefit everyone. Now is the time to increase the federal support, which will be complementary to, and help drive, the nation's high-tech industry investments.

Treasury secretary Scott Bessent insists US will 'never default' on its debt (Myles McCormick/Financial Times)
https://www.ft.com/content/9c652f09-cfca-4078-9e2b-5fdacd772a75
http://www.memeorandum.com/250602/p76#a250602p76

"Fifa again under scrutiny for World Cup’s increased carbon footprint"
#Football #Sports #Climate #ClimateChange

Neel order, spin-spiral, and spin liquid ground state in frustrated three dimensional system CaMn2P2: A DFT U and spin dynamics study
Bidyut Mallick, Sk. Soyeb Ali, S. K. Panda
https://arxiv.org/abs/2506.10254

Neel order, spin-spiral, and spin liquid ground state in frustrated three dimensional system CaMn2P2: A DFT+U and spin dynamics study
We investigate the magnetic ground state and phase transitions in the frustrated three-dimensional system CaMn2P2 using first-principles calculations combined with spin-dynamics simulations. Our DFT+U calculations reveal that CaMn2P2 exhibits an indirect gap semiconducting ground state with a localized Mn2+ electronic configuration and negligible spin-orbit coupling effects. The computed exchange interactions show that the magnetic behavior is well described by a isotropic Heisenberg Hamiltonia…

Variability-finding in Rubin Data Preview 1 with LSDB
Konstantin Malanchev, Melissa DeLucchi, Neven Caplar, Alex I. Malz, Wilson Beebe, Doug Branton, Sandro Campos, Andrew Connolly, Mi Dai, Jeremy Kubica, Olivia Lynn, Rachel Mandelbaum, Sean McGuire, Eric Aubourg, Robert David Blum, Jeffrey L. Carlin, Francisco Delgado, Emmanuel Gangler, Buell T. Jannuzi, Tim Jenness, Yijung Kang, Arun Kannawadi, Marc Moniez, Andr\'es A. Plazas Malag\'on, Wouter van Reeven, David Sanmartim, Ela…

Variability-finding in Rubin Data Preview 1 with LSDB
The Vera C. Rubin Observatory recently released Data Preview 1 (DP1) in advance of the upcoming Legacy Survey of Space and Time (LSST), which will enable boundless discoveries in time-domain astronomy over the next ten years. DP1 provides an ideal sandbox for validating innovative data analysis approaches for the LSST mission, whose scale challenges established software infrastructure paradigms. This note presents a pair of such pipelines for variability-finding using powerful software infrastr…