Tootfinder

Relativistic Quantum Otto Engine: Generalized efficiency bounds and frictional effects
Vahid Shaghaghi, Pritam Chattopadhyay, Vijit V. Nautiyal, Kaustav Chatterjee, Tanmoy Pandit, Varinder Singh
https://arxiv.org/abs/2508.20692

Relativistic Quantum Otto Engine: Generalized efficiency bounds and frictional effects
This work investigates a relativistic quantum Otto engine with a harmonic oscillator as its working medium, analyzing how relativistic motion and nonadiabatic driving affect its performance and efficiency bounds. In the adiabatic regime, a closed-form analytical expression is derived for the generalized Carnot efficiency, which incorporates the effects of relativistic motion and reduces to the standard Carnot efficiency in the nonrelativistic limit. For nonadiabatic driving, we consider sudden …

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…

Joule-Thomson expansion and heat engine efficiency of charged rotating black strings
Hamid R. Bakhtiarizadeh
https://arxiv.org/abs/2508.09712 https://arxiv…

Joule-Thomson expansion and heat engine efficiency of charged rotating black strings
We perform the first study of the throttling process and heat engine efficiency of asymptotically Anti-de Sitter charged and rotating black strings in the extended phase space. For the throttling process, we calculate the Joule-Thomson coefficient and inversion temperature. We also depict the inversion and isenthalpic curves in the temperature-pressure plane, thereby identifying the corresponding cooling and heating regions. For the black string heat engine, we obtain analytical expressions for…

Rethinking Analytical Processing in the GPU Era
Bobbi Yogatama, Yifei Yang, Kevin Kristensen, Devesh Sarda, Abigale Kim, Adrian Cockcroft, Yu Teng, Joshua Patterson, Gregory Kimball, Wes McKinney, Weiwei Gong, Xiangyao Yu
https://arxiv.org/abs/2508.04701

Rethinking Analytical Processing in the GPU Era
The era of GPU-powered data analytics has arrived. In this paper, we argue that recent advances in hardware (e.g., larger GPU memory, faster interconnect and IO, and declining cost) and software (e.g., composable data systems and mature libraries) have removed the key barriers that have limited the wider adoption of GPU data analytics. We present Sirius, a prototype open-source GPU-native SQL engine that offers drop-in acceleration for diverse data systems. Sirius treats GPU as the primary engi…