Tootfinder

Precise control of the phase-transition temperature of VO2 from 70 to -35 {\deg}C for tunable optics
Jin-Woo Cho, Jonathan L. King, Martin Hafermann, Karla Paz, Shenwei Yin, Tanuj Kumar, Hongyan Mei, Joseph A. Andrade, Dung. T. Quach, Colin Hessel, Chenghao Wan, Carsten Ronning, David Woolf, Mikhail A. Kats
https://arxiv.org/abs…

Precise control of the phase-transition temperature of VO2 from 70 to -35 °C for tunable optics
We demonstrate the combination of metal doping and ion bombardment as a hybrid technique to precisely engineer the insulator-to-metal transition (IMT) properties of vanadium dioxide (VO$_2$) films. This approach enables (i) setting the phase-transition temperature ($T_c$) from $-35$ to $70$ °C, (ii) near-zero hysteresis in highly doped and irradiated films, and (iii) robust optical contrast across a broad range of doping and irradiation conditions, down to $T_c = -35$ °C. While previous work …

CaloHadronic: a diffusion model for the generation of hadronic showers
Thorsten Buss, Frank Gaede, Gregor Kasieczka, Anatolii Korol, Katja Kr\"uger, Peter McKeown, Martina Mozzanica
https://arxiv.org/abs/2506.21720

CaloHadronic: a diffusion model for the generation of hadronic showers
Simulating showers of particles in highly-granular calorimeters is a key frontier in the application of machine learning to particle physics. Achieving high accuracy and speed with generative machine learning models can enable them to augment traditional simulations and alleviate a major computing constraint. Recent developments have shown how diffusion based generative shower simulation approaches that do not rely on a fixed structure, but instead generate geometry-independent point clouds, ar…