Tootfinder

Russia tortures captured terrorists and let them falsely testify about Ukraine being involved.
https://www.themoscowtimes.com/2024/04/08/crocus-attack-suspects-claim-ukraine-link-in-new-interrogation-clips-a8476…

Crocus Attack Suspects Claim Ukraine Link in New Interrogation Clips
The four suspected gunmen in last month’s deadly Moscow concert hall attack said they were promised safe passage to and a financial award in Ukraine in new interrogation clips aired on state television.

sp_infectious: Art exhibit dynamic contacts (2011)
This dataset contains the daily dynamic contact networks collected during the Infectious SocioPatterns event that took place at the Science Gallery in Dublin, Ireland, during the artscience exhibition INFECTIOUS: STAY AWAY. Each file in the downloadable package contains a tab-separated list representing the active contacts during 20-second intervals of one day of data collection. Each line has the form “t i j“, where i and j are the a…

Physics-Informed Machine Learning for Battery Degradation Diagnostics: A Comparison of State-of-the-Art Methods
Sina Navidi, Adam Thelen, Tingkai Li, Chao Hu
https://arxiv.org/abs/2404.04429

Physics-Informed Machine Learning for Battery Degradation Diagnostics: A Comparison of State-of-the-Art Methods
Monitoring the health of lithium-ion batteries' internal components as they age is crucial for optimizing cell design and usage control strategies. However, quantifying component-level degradation typically involves aging many cells and destructively analyzing them throughout the aging test, limiting the scope of quantifiable degradation to the test conditions and duration. Fortunately, recent advances in physics-informed machine learning (PIML) for modeling and predicting the battery state of …

Systematic Biases in Estimating the Properties of Black Holes Due to Inaccurate Gravitational-Wave Models
Arnab Dhani, Sebastian V\"olkel, Alessandra Buonanno, Hector Estelles, Jonathan Gair, Harald P. Pfeiffer, Lorenzo Pompili, Alexandre Toubiana
https://arxiv.org/abs/2404.05811

Systematic Biases in Estimating the Properties of Black Holes Due to Inaccurate Gravitational-Wave Models
Gravitational-wave (GW) observations of binary black-hole (BBH) coalescences are expected to address outstanding questions in astrophysics, cosmology, and fundamental physics. Realizing the full discovery potential of upcoming LIGO-Virgo-KAGRA (LVK) observing runs and new ground-based facilities hinges on accurate waveform models. Using linear-signal approximation methods and Bayesian analysis, we start to assess our readiness for what lies ahead using two state-of-the-art quasi-circular, spin-…

🪶 Feathers, cognition and global consumerism in colonial Amazonia
#culture

Feathers, cognition and global consumerism in colonial Amazonia
Amazonia is the home of the largest variety of birds in the world. In such a unique environment, craft cultures have flourished by translating the beauty and creativity of environmental materials like feathers into stunning pieces of art.

Homogenization in 3D thin domains with oscillating boundaries of different orders
Jos\'e M. Arrieta, Jean Carlos Nakasato, Manuel Villanueva-Pesqueira
https://arxiv.org/abs/2405.05599

Homogenization in 3D thin domains with oscillating boundaries of different orders
This paper presents an extension of the unfolding operator technique, initially applied to two-dimensional domains, to the realm of three-dimensional thin domains. The advancement of this methodology is pivotal, as it enhances our understanding and analysis of three-dimensional geometries, which are crucial in various practical fields such as engineering and physics. Our work delves into the asymptotic behavior of solutions to a reaction-diffusion equation with Neumann boundary conditions set w…

Deep-Learning Database of Density Functional Theory Hamiltonians for Twisted Materials
Ting Bao, Runzhang Xu, He Li, Xiaoxun Gong, Zechen Tang, Jingheng Fu, Wenhui Duan, Yong Xu
https://arxiv.org/abs/2404.06449

Deep-Learning Database of Density Functional Theory Hamiltonians for Twisted Materials
Moiré-twisted materials have garnered significant research interest due to their distinctive properties and intriguing physics. However, conducting first-principles studies on such materials faces challenges, notably the formidable computational cost associated with simulating ultra-large twisted structures. This obstacle impedes the construction of a twisted materials database crucial for datadriven materials discovery. Here, by using high-throughput calculations and state-of-the-art neural n…

Analytic thermodynamic properties of the Lieb-Liniger gas
M. L. Kerr, G. De Rosi, K. V. Kheruntsyan
https://arxiv.org/abs/2404.06092 https://

Analytic thermodynamic properties of the Lieb-Liniger gas
We present a comprehensive review on the state-of-the-art of the approximate analytic approaches describing the finite-temperature thermodynamic quantities of the Lieb-Liniger model of the one-dimensional (1D) Bose gas with contact repulsive interactions. This paradigmatic model of quantum many-body-theory plays an important role in many areas of physics -- thanks to its integrability and possible experimental realization using, e.g., ensembles of ultracold bosonic atoms confined to quasi-1D ge…

Mathematicians: “Art doesn’t require humans because monkeys randomly typing will eventually produce a full set of Shakespeare’s work”
The monkeys: