Tootfinder

Polish engineer Piotr Ostapowicz has created what may be the world's smallest 8-bit Atari computer recreation, the "Atarino". The entire system—processor, graphics chips, sound hardware, and memory controllers—fits on a module measuring just 2×1.5 centimeters (about 0.79×0.59 inches), roughly the size of a postage stamp:

Polish engineer creates postage stamp-sized 1980s Atari computer
Hobby project shrinks 1980s computer platform that pierced the Iron Curtain.

Enhancing Spatio-Temporal Resolution of Process-Based Life Cycle Analysis with Model-Based Systems Engineering \& Hetero-functional Graph Theory
Niraj Gohil, Nawshad Haque, Amgad Elgowainy, Amro M. Farid
https://arxiv.org/abs/2506.00230

Enhancing Spatio-Temporal Resolution of Process-Based Life Cycle Analysis with Model-Based Systems Engineering \& Hetero-functional Graph Theory
Life cycle analysis (LCA) has emerged as a vital tool for assessing the environmental impacts of products, processes, and systems throughout their entire lifecycle. It provides a systematic approach to quantifying resource consumption, emissions, and waste, enabling industries, researchers, and policymakers to identify hotspots for sustainability improvements. By providing a comprehensive assessment of systems, from raw material extraction to end-of-life disposal, LCA facilitates the developmen…

A Precise Metallicity and Carbon-to-Oxygen Ratio for a Warm Giant Exoplanet from its Panchromatic JWST Emission Spectrum
Lindsey S. Wiser, Taylor J. Bell, Michael R. Line, Everett Schlawin, Thomas G. Beatty, Luis Welbanks, Thomas P. Greene, Vivien Parmentier, Matthew M. Murphy, Jonathan J. Fortney, Kenny Arnold, Nishil Mehta, Kazumasa Ohno, Sagnick Mukherjee

A Precise Metallicity and Carbon-to-Oxygen Ratio for a Warm Giant Exoplanet from its Panchromatic JWST Emission Spectrum
WASP-80 b, a warm sub-Jovian (equilibrium temperature ~820 K, 0.5 Jupiter masses), presents an opportunity to characterize a rare gas giant exoplanet around a low-mass star. In addition, its moderate temperature enables its atmosphere to host a range of carbon and oxygen species (H$_2$O, CH$_4$, CO, CO$_2$, NH$_3$). In this paper, we present a panchromatic emission spectrum of WASP-80 b, the first gas giant around a late K/early M-dwarf star and the coolest planet for which the James Webb Space…

The Northern Cross Fast Radio Burst project: V. Search for transient radio emission from Galactic magnetars
A. Geminardi, P. Esposito, G. Bernardi, M. Pilia, D. Pelliciari, G. Naldi, D. Dallacasa, R. Turolla, L. Stella, F. Perini, F. Verrecchia, C. Casentini, M. Trudu, R. Lulli, A. Maccaferri, A. Magro, A. Mattana, G. Bianchi, G. Pupillo, C. Bortolotti, M. Tavani, M. Roma, M. Schiaffino, G. Setti

The Northern Cross Fast Radio Burst project: V. Search for transient radio emission from Galactic magnetars
Context. The radio emission from magnetars is poorly understood and poorly characterized observationally, in particular for what concerns single pulses and sporadic events. The interest in it was boosted by the detection in 2020 of an extremely bright ms radio signal from the Galactic magnetar designated Soft Gamma Repeater (SGR) SGR J1935+2154, which occurred almost simultaneously with a typical magnetar short burst of X-rays. As of now, this event remains the Galactic radio pulse that is the …

Characterization of the VKI Plasmatron subsonic ICP jet combining optical emission spectroscopy, intrusive measurements, and CFD simulations
Andrea Fagnani, Bernd Helber, Damien Le Quang, Alessandro Turchi, Jimmy Freitas Monteiro, Annick Hubin, Olivier Chazot
https://arxiv.org/abs/2506.02469…

Characterization of the VKI Plasmatron subsonic ICP jet combining optical emission spectroscopy, intrusive measurements, and CFD simulations
This paper addresses the characterization of the subsonic flow in the 1.2~MW Inductively Coupled Plasma (ICP) wind tunnel at the von Karman Institute for Fluid Dynamics (VKI), targeting chamber pressures of 50 and 100~mbar, and input electric powers between 150 and 300~kW. Ultraviolet to near-infrared optical emission spectroscopy measurements of the free-jet flow are carried out with an updated experimental set-up, calibration procedure, and data processing, providing high-quality absolute spa…

CHEX-MATE: New detections and properties of the radio diffuse emission in massive clusters with MeerKAT
M. Balboni, F. Gastaldello, A. Bonafede, A. Botteon, I. Bartalucci, R. Cassano, S. De Grandi, S. Ettori, M. Gaspari, S. Ghizzardi, M. Gitti, M. Johnston-Hollitt, L. Lovisari, S. Molendi, E. Pointecouteau, G. W. Pratt, G. Riva, M. Rossetti, J. Sayers, M. Sereno, R. J. van Weeren

CHEX-MATE: New detections and properties of the radio diffuse emission in massive clusters with MeerKAT
Modern radio telescopes are revolutionising our understanding of non-thermal phenomena within galaxy clusters, collecting large samples of extended sources with unprecedented sensitivity and angular resolution. In this work, we present novel MeerKAT observations for a sample of 21 galaxy clusters being part of the CHEX-MATE project. These systems were selected based on their high mass and displaying signs of dynamical activity. Thanks to the high-quality data in hand, we detect extended radio e…

Large Processor Chip Model
Kaiyan Chang, Mingzhi Chen, Yunji Chen, Zhirong Chen, Dongrui Fan, Junfeng Gong, Nan Guo, Yinhe Han, Qinfen Hao, Shuo Hou, Xuan Huang, Pengwei Jin, Changxin Ke, Cangyuan Li, Guangli Li, Huawei Li, Kuan Li, Naipeng Li, Shengwen Liang, Cheng Liu, Hongwei Liu, Jiahua Liu, Junliang Lv, Jianan Mu, Jin Qin, Bin Sun, Chenxi Wang, Duo Wang, Mingjun Wang, Ying Wang, Chenggang Wu, Peiyang Wu, Teng Wu, Xiao Xiao, Mengyao Xie, Chenwei Xiong, Ruiyuan Xu, Mingyu Yan, Xiaoc…

Large Processor Chip Model
Computer System Architecture serves as a crucial bridge between software applications and the underlying hardware, encompassing components like compilers, CPUs, coprocessors, and RTL designs. Its development, from early mainframes to modern domain-specific architectures, has been driven by rising computational demands and advancements in semiconductor technology. However, traditional paradigms in computer system architecture design are confronting significant challenges, including a reliance on…

Autonomous Fabrication of Tailored Defect Structures in 2D Materials using Machine Learning-enabled Scanning Transmission Electron Microscopy
Zijie Wu, Kevin M. Roccapriore, Ayana Ghosh, Kai Xiao, Raymond R. Unocic, Stephen Jesse, Rama Vasudevan, Matthew G. Boebinger
https://arxiv.org/abs/2507.01194

Autonomous Fabrication of Tailored Defect Structures in 2D Materials using Machine Learning-enabled Scanning Transmission Electron Microscopy
Materials with tailored quantum properties can be engineered from atomic scale assembly techniques, but existing methods often lack the agility and accuracy to precisely and intelligently control the manufacturing process. Here we demonstrate a fully autonomous approach for fabricating atomic-level defects using electron beams in scanning transmission electron microscopy (STEM) that combines advanced machine learning and automated beam control. As a proof of concept, we achieved controlled fabr…

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal $\left[^{18}\text{F}\right]$FDG PET imaging
Christian Salomonsen, Luigi Tommaso Luppino, Fredrik Aspheim, Kristoffer Wickstr{\o}m, Elisabeth Wetzer, Michael Kampffmeyer, Rodrigo Berzaghi, Rune Sundset, Robert Jenssen, Samuel Kuttner
https:…

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal $\left[^{18}\text{F}\right]$FDG PET imaging
Dynamic positron emission tomography (PET) and kinetic modeling are pivotal in advancing tracer development research in small animal studies. Accurate kinetic modeling requires precise input function estimation, traditionally achieved via arterial blood sampling. However, arterial cannulation in small animals like mice, involves intricate, time-consuming, and terminal procedures, precluding longitudinal studies. This work proposes a non-invasive, fully convolutional deep learning-based approach…

A Hetero-functional Graph Theory Perspective of Engineering Management of Mega-Projects
Amirreza Hosseini, Amro M. Farid
https://arxiv.org/abs/2505.24045 h…

A Hetero-functional Graph Theory Perspective of Engineering Management of Mega-Projects
Megaprojects are large-scale, complex, and one-off engineering endeavors that require significant investments from a public or private sector. Such projects generally cost more than a billion dollars, take many years to develop and construct, involve stakeholders both in the public and private sectors, and impact millions of people. Most of the extant megaproject research is concerned with understanding why the engineering management of megaprojects fails so frequently and which dimensions make…