Tootfinder

ETH Zürich: Vierbeiniger ANYmal-Roboter spielt Badminton
Mittels Verstärkendem Lernen haben ETH-Forscher dem hauseigenen vierbeinigen Roboter ANYmal das Badminton-Spielen beigebracht.
https://www.…

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal $\left[^{18}\text{F}\right]$FDG PET imaging
Christian Salomonsen, Luigi Tommaso Luppino, Fredrik Aspheim, Kristoffer Wickstr{\o}m, Elisabeth Wetzer, Michael Kampffmeyer, Rodrigo Berzaghi, Rune Sundset, Robert Jenssen, Samuel Kuttner
https:…

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal $\left[^{18}\text{F}\right]$FDG PET imaging
Dynamic positron emission tomography (PET) and kinetic modeling are pivotal in advancing tracer development research in small animal studies. Accurate kinetic modeling requires precise input function estimation, traditionally achieved via arterial blood sampling. However, arterial cannulation in small animals like mice, involves intricate, time-consuming, and terminal procedures, precluding longitudinal studies. This work proposes a non-invasive, fully convolutional deep learning-based approach…

Quantum anomalous Hall effects and Hall crystals at fractional filling of helical trilayer graphene
Sen Niu, Jason Alicea, D. N. Sheng, Yang Peng
https://arxiv.org/abs/2505.24146 …

Quantum anomalous Hall effects and Hall crystals at fractional filling of helical trilayer graphene
Helical trilayer graphene realizes a versatile moiré system in which anomalous Hall effects have been recently observed at integer and fractional fillings. Focusing on helical trilayers near the magic angle and under a substrate potential, we demonstrate that an isolated higher Chern band with Chern number $|C_{band}|=2$ emerges, enabling the exploration of many-body states beyond the conventional Landau level paradigm. We use exact diagonalization to predict a rich phase diagram of …