Tootfinder

Parallel Hierarchical Agglomerative Clustering in Low Dimensions
MohammadHossein Bateni, Laxman Dhulipala, Willem Fletcher, Kishen N Gowda, D Ellis Hershkowitz, Rajesh Jayaram, Jakub {\L}\k{a}cki
https://arxiv.org/abs/2507.20047

Parallel Hierarchical Agglomerative Clustering in Low Dimensions
Hierarchical Agglomerative Clustering (HAC) is an extensively studied and widely used method for hierarchical clustering in $\mathbb{R}^k$ based on repeatedly merging the closest pair of clusters according to an input linkage function $d$. Highly parallel (i.e., NC) algorithms are known for $(1+ε)$-approximate HAC (where near-minimum rather than minimum pairs are merged) for certain linkage functions that monotonically increase as merges are performed. However, no such algorithms are known for…

“A returns deal with France that makes access to safety in the UK — even for those with close family or connections here — dependent on someone else risking their life to cross the Channel only cements the role of smugglers in how people fleeing war and persecution must seek asylum in the UK."
'A grubby trade in human lives' | Morning Star
…

Fast nanothermometry based on direct electron detection of electron backscattering diffraction patterns
Ryan Gnabasik, Razan O. Nughays, Ashlynn Overholser, Vijay Kumar, Shantal Adajian, Nicol\`o Maria della Ventura, Daniel S. Gianola, Bolin Liao
https://arxiv.org/abs/2507.05467

Fast nanothermometry based on direct electron detection of electron backscattering diffraction patterns
Accurate temperature measurement at the nanoscale is crucial for thermal management in next-generation microelectronic devices. Existing optical and scanning-probe thermometry techniques face limitations in spatial resolution, accuracy, or invasiveness. In this work, we demonstrate a fast and non-contact nanothermometry method based on temperature-induced changes in electron backscattering diffraction (EBSD) patterns captured by a high-performance direct electron detector within a scanning elec…