Tootfinder

fullerene_structures: Fullerene molecular structures
Fifteen networks of carbon atoms and the atomic bonds that connect them within molecules of fullerenes, from 60 atoms up to 6000 atoms. A bond is defined to exist whenever the distance of two atoms is less than 1.5 angstrom.
This network has 720 nodes and 1080 edges.
Tags: Biological, Chemical, Unweighted, Spatial

🇺🇦 #NowPlaying on KEXP's #SundaySoul
Atmosfear:
🎵 Invasion
#Atmosfear
https://atmosfearuk.bandcamp.com/track/invasion
https://open.spotify.com/track/7wCS1vgnZBlqBuLRpjgJlL

Shocked, I'm shocked! Well, not that shocked.
https://flipboard.com/@gothamist/gothamist-igeoft02z/-/a-N3M9gpszT3G9Dz67HpEV4g:a:3807498986-/0

Mayor Adams fumbles NYC bike storage program, councilmembers say
Mayor Eric Adams has slighted cyclists yet again, City Councilmembers say. Local lawmakers have criticized the mayor in recent weeks for failing to …

A Dichotomy of the Mass-Metallicity Relation of Exoplanetary Atmospheres Demarcated by their Birthplace
Kazumasa Ohno, Masahiro Ikoma, Satoshi Okuzumi, Tadahiro Kimura
https://arxiv.org/abs/2506.16060

A Dichotomy of the Mass-Metallicity Relation of Exoplanetary Atmospheres Demarcated by their Birthplace
Atmospheric observations by JWST raise a growing evidence that atmospheric metallicity exhibits an anti-correlation with masses of giant exoplanets. While such a trend was anticipated by planetesimal-based planet formation models, it remains unclear what kind of atmospheric metallicity trends emerge from pebble-based planet formation. Moreover, while recent studies of solar system Jupiter suggest that uppermost observable atmosphere may not represent the bulk envelope composition, it remains un…

Advancing atomic electron tomography with neural networks
Juhyeok Lee, Yongsoo Yang
https://arxiv.org/abs/2506.16104 https://arxiv.or…

Advancing atomic electron tomography with neural networks
Accurate determination of three-dimensional (3D) atomic structures is crucial for understanding and controlling the properties of nanomaterials. Atomic electron tomography (AET) offers non-destructive atomic imaging with picometer-level precision, enabling the resolution of defects, interfaces, and strain fields in 3D, as well as the observation of dynamic structural evolution. However, reconstruction artifacts arising from geometric limitations and electron dose constraints can hinder reliable…

Frequently Used References For Atomic Data In X-ray Spectroscopy
N. Hell (Lawrence Livermore National Laboratory), G. V. Brown (Lawrence Livermore National Laboratory), M. E. Eckart (Lawrence Livermore National Laboratory), A. J. Fairchild (Lawrence Livermore National Laboratory), C. A. Kilbourne (NASA Goddard Space Flight Center), M. A. Leutenegger (NASA Goddard Space Flight Center), F. S. Porter (NASA Goddard Space Flight Center), M. C. Witthoeft (NASA Goddard Space Flight Center)

Frequently Used References For Atomic Data In X-ray Spectroscopy
Accurate atomic physics reference data are a crucial requirement for analysis and interpretation of observed spectra, even more so for observations with high spectral resolution. This document provides a curated list of atomic physics references frequently used for plasma diagnostics in X-ray spectroscopy, outside of comprehensive plasma models that typically come with their own underlying atomic databases. The list includes references to physical constants, laboratory benchmarks, transition en…

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap
Martha Arbayani Zaidan, Naser Hossein Motlagh, Petteri Nurmi, Tareq Hussein, Markku Kulmala, Tuukka Pet\"aj\"a, Sasu Tarkoma
https://arxiv.org/abs/2506.16281

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap
Atmospheric sciences are crucial for understanding environmental phenomena ranging from air quality to extreme weather events, and climate change. Recent breakthroughs in sensing, communication, computing, and Artificial Intelligence (AI) have significantly advanced atmospheric sciences, enabling the generation of vast amounts of data through long-term Earth observations and providing powerful tools for analyzing atmospheric phenomena and predicting natural disasters. This paper contributes a c…

A senior US official says DeepSeek is aiding China's military and intel operations, going beyond open-source AI model access, and evading US export controls (Reuters)
https://www.reuters.com/world/china/deepse

High-speed quantitative nanomechanical mapping by photothermal off-resonance atomic force microscopy
Hans Gunstheimer, Gotthold Fl\"aschner, Jonathan D. Adams, Hendrik H\"olscher, Bart W. Hoogenboom
https://arxiv.org/abs/2506.16226

High-speed quantitative nanomechanical mapping by photothermal off-resonance atomic force microscopy
Atomic force microscopy (AFM) is widely used to measure surface topography of solid, soft, and living matter at the nanoscale. Moreover, by mapping forces as a function of distance to the surface, AFM can provide a wealth of information beyond topography, with nanomechanical properties as a prime example. Here we present a method based on photothermal off-resonance tapping (PORT) to increase the speed of such force spectroscopy measurements by at least an order of magnitude, thereby enabling hi…

Hop-Decorate: An Automated Atomistic Workflow for Generating Defect Transport Data in Chemically Complex Materials
Peter Hatton, Blas Pedro Uberuaga, Danny Perez
https://arxiv.org/abs/2506.16835

Hop-Decorate: An Automated Atomistic Workflow for Generating Defect Transport Data in Chemically Complex Materials
Chemically complex materials (CCMs) exhibit extraordinary functional properties but pose significant challenges for atomistic modeling due to their vast configurational heterogeneity. We introduce Hop-Decorate (HopDec), a high-throughput, Python-based atomistic workflow that automates the generation of defect transport data in CCMs. HopDec integrates accelerated molecular dynamics with a novel redecoration algorithm to efficiently sample migration pathways across chemically diverse local enviro…