Abstract: Underwater Acoustic Sensor Networks (UASNs) play a critical role in underwater exploration, yet face challenges like high energy consumption, and uneven load distribution in multi-hop ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This paper presents ZacrosTools, a free and open-source Python library designed to ...

Sand production is a major problem for oil and gas wells, as it represents an integrity issue downhole and handling costs on surface facilities. For an well to experience sand production problems, the ...

Biological Physics and Soft Matter Group, Department of Physics, King’s College London, London WC2R 2LS, U.K. Department of Chemistry, King’s College London, London SE1 1DB, U.K.

Efficient well placement is critical in oil and gas exploration, aiming to maximize reservoir contact while minimizing drilling costs and environmental impact. Python, a versatile programming language ...

This project evaluates Brownian Motion’s effectiveness compared to historical stock market data. This paper analyzes the application and limitations of this stochastic model, focusing on the Dow Jones ...

GalaPy is an open source, extensible API for modelling and fitting the Spectral Energy Distribution (SED) of galaxies from the X-ray to the radio band, as well as the ...

We analyzed phase boundaries generated using LaSSI simulations of two-component systems 4,15. For these simulations, we used a model system comprising low- and high-valency polymers, representing Whi3 ...

Iron oxide-copper-gold (IOCG) deposits are a globally important source of copper, gold and critical commodities. Despite their relevance, IOCG deposits remain an ill-defined clan, with a range of ...

Introduction: Electrical stimulation, the application of an electric field to cells and tissues grown in culture to accelerate growth and tight junction formation among endothelial cells, could be ...

Code to reproduce the trained RNN in a unified theory for the origin of grid cells through the lens of pattern formation (NeurIPS '19) and additional analysis described in this preprint.