Tootfinder

An AI dose engine for fast carbon ion treatment planning
Anastasiia Quarz, Angelica De Gregorio, Gaia Franciosini, Angelo Schiavi, Zolt\'an Perk\'o, Lennart Volz, Vincenzo Patera, Marco Durante, Christian Graeff
https://arxiv.org/abs/2510.11271

An AI dose engine for fast carbon ion treatment planning
Monte Carlo (MC) simulations provide gold-standard accuracy for carbon ion therapy dose calculations but are computationally intensive. Analytical pencil beam algorithms offer speed but reduced accuracy in heterogeneous tissues. We developed the first AI-based dose engine capable of predicting absorbed dose, the alpha and beta parameters for relative biological effectiveness (RBE)- weighted optimisation in carbon ion therapy, delivering MC-level accuracy with drastically reduced computation tim…

Curzon Ahlborn Type Efficiency in a Brownian Heat Engine with Exponential Temperature Profile
Mesfin Asfaw Taye
https://arxiv.org/abs/2509.20602 https://ar…

Curzon Ahlborn Type Efficiency in a Brownian Heat Engine with Exponential Temperature Profile
We investigate a Brownian heat engine wherein a particle moves through a periodic ratchet potential under an exponentially decreasing temperature profile, a spatial configuration that closely resembles experimentally realizable conditions such as laser-induced thermal gradients and thermoplasmonic heating. This model yields exact analytical expressions for the particle current, thermodynamic efficiency, entropy production, and coefficient of performance (COP), and uniquely recovers the Curzon A…