Tootfinder

Remote Renewable Energy Hubs: a Taxonomy
Victor Dachet, Antoine Dubois, Bardhyl Miftari, Rapha\"el Fonteneau, Damien Ernst
https://arxiv.org/abs/2507.07659

Remote Renewable Energy Hubs: a Taxonomy
Serving the energy demand with renewable energy is hindered by its limited availability near load centres (i.e. places where the energy demand is high). To address this challenge, the concept of Remote Renewable Energy Hubs (RREH) emerges as a promising solution. RREHs are energy hubs located in areas with abundant renewable energy sources, such as sun in the Sahara Desert or wind in Greenland. In these hubs, renewable energy sources are used to synthetise energy molecules. To produce specific …

Reproducing and Extending Brownian Motion in Optical Trap: A Computational Reimplementation of Volpe and Volpe (2013)
Eyad I. B Hamid
https://arxiv.org/abs/2508.08138 https://…

Reproducing and Extending Brownian Motion in Optical Trap: A Computational Reimplementation of Volpe and Volpe (2013)
We present a re-representation and independent simulation of the model introduced by Giorgio Volpe and Giovanni Volpe in their 2013 study of a Brownian particle in an optical trap (Volpe and Volpe, 2013). Rather than duplicating their original plots, we reconstructed the simulations from first principles using Python, implementing stochastic differential equations via finite difference schemes. This work reproduces and validates the key physical regimes described in the original article, includ…

Electric Vehicle Scheduling and Vehicle-to-Grid Integration in Microgrids
Nathan Cho, Andrea Lodi, Anna Scaglione
https://arxiv.org/abs/2508.06752 https://…

Electric Vehicle Scheduling and Vehicle-to-Grid Integration in Microgrids
The logistical challenges and high costs associated with procuring and transporting fuel to remote military bases underscore the need for sustainable and resilient energy solutions. Integrating renewable energy sources and electric vehicles into military microgrids offers a promising approach to enhance energy security and operational readiness. This paper explores the optimization of travel, charging, and discharging schedules for a fleet of military electric trucks, aiming to minimize relianc…

A profile of Rumble founder Chris Pavlovski, who declined an offer to become CEO of Truth Social and opted to provide services to the platform through Rumble (Emily Baker-White/Forbes)
https://www.forbes.com/sites/emilybaker-wh

The Tech Mogul Behind Trump’s Truth Social Used To Own Porn Domains
Before he helped run Truth Social, Chris Pavlovski owned porn domains. Now, he’s allied with a political movement that wants to ban pornography.

This https://arxiv.org/abs/2408.12766 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Learning Robust Features for Scatter Removal and Reconstruction in Dynamic ICF X-Ray Tomography
Density reconstruction from X-ray projections is an important problem in radiography with key applications in scientific and industrial X-ray computed tomography (CT). Often, such projections are corrupted by unknown sources of noise and scatter, which when not properly accounted for, can lead to significant errors in density reconstruction. In the setting of this problem, recent deep learning-based methods have shown promise in improving the accuracy of density reconstruction. In this article,…

A profile of Rumble founder Chris Pavlovski, who declined an offer to become CEO of Truth Social and opted to provide services to the platform through Rumble (Emily Baker-White/Forbes)
https://www.forbes.com/sites/emilybaker-wh

The Tech Mogul Behind Trump’s Truth Social Used To Own Porn Domains
Before he helped run Truth Social, Chris Pavlovski owned porn domains. Now, he’s allied with a political movement that wants to ban pornography.

Conservatives: Trump won our megabill votes by promising crackdown on renewable energy credits
Hard-line House conservatives said Trump assured them his administration would
strictly enforce rules for wind or solar projects to qualify for the tax credits under the Inflation Reduction Act
— a pledge that persuaded them to back the party’s megabill

Illuminating the Future: Nanophotonics for Future Green Technologies, Precision Healthcare, and Optical Computing
Osama M. Halawa, Esraa Ahmed, Malk M. Abdelrazek, Yasser M. Nagy, Omar A. M. Abdelraouf
https://arxiv.org/abs/2507.06587

Illuminating the Future: Nanophotonics for Future Green Technologies, Precision Healthcare, and Optical Computing
Nanophotonics, an interdisciplinary field merging nanotechnology and photonics, has enabled transformative advancements across diverse sectors including green energy, biomedicine, and optical computing. This review comprehensively examines recent progress in nanophotonic principles and applications, highlighting key innovations in material design, device engineering, and system integration. In renewable energy, nanophotonic allows light-trapping nanostructures and spectral control in perovskite…

Conservatives: Trump won our megabill votes by promising crackdown on renewable energy credits (Politico)
https://www.politico.com/live-updates/2025/07/03/congress/conservatives-trump-megabill-energy-credits-crackdown-00438357
http://www.memeorandum.com/250703/p50#a250703p50

Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal
Yang Wang, Chenghao Xiao, Yizhi Li, Stuart E. Middleton, Noura Al Moubayed, Chenghua Lin
https://arxiv.org/abs/2507.21750

Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal
Pre-trained language models (PLMs) have driven substantial progress in natural language processing but remain vulnerable to adversarial attacks, raising concerns about their robustness in real-world applications. Previous studies have sought to mitigate the impact of adversarial attacks by introducing adversarial perturbations into the training process, either implicitly or explicitly. While both strategies enhance robustness, they often incur high computational costs. In this work, we propose …