Kavli Affiliate: Andrew M. Vanderburg | First 5 Authors: Lizhou Sha, Andrew M. Vanderburg, Chelsea X. Huang, David J. Armstrong, Rafael Brahm | Summary: Hot jupiters (P < 10 d, M > 60 $mathrm{M}_oplus$) are almost always found alone around their stars, but four out of hundreds known have inner companion planets. These rare companions […]
Kavli Affiliate: Dwight Bergles | Authors: Em P Harrington, Riley B Catenacci, Matthew D Smith, Dongeun Heo, Cecilia E Miller, Keya R Meyers, Jenna Glatzer, Dwight E Bergles and Peter A Calabresi | Summary: Abstract Oligodendrocytes and their progenitors upregulate MHC pathways in response to inflammation, but the frequency of this phenotypic change is unknown […]
Kavli Affiliate: Hitoshi Murayama | First 5 Authors: Brian Henning, Hitoshi Murayama, Francesco Riva, Jedidiah O. Thompson, Matthew T. Walters | Summary: We present a nonperturbative recipe for directly computing the $S$-matrix in strongly-coupled QFTs. The method makes use of spectral data obtained in a Hamiltonian framework and can be applied to a wide range […]
Kavli Affiliate: Kent Irwin | First 5 Authors: Phil Barbeau, Petra Merkel, Jinlong Zhang, Darin Acosta, Anthony A. Affolder | Summary: Detector instrumentation is at the heart of scientific discoveries. Cutting edge technologies enable US particle physics to play a leading role worldwide. This report summarizes the current status of instrumentation for High Energy Physics […]
Kavli Affiliate: Yuji Tachikawa | First 5 Authors: Benjamin Assel, Yuji Tachikawa, Alessandro Tomasiello, , | Summary: We introduce a class of 3d theories consisting of strongly-coupled ${mathcal N}=4$ systems coupled to ${mathcal N}=3$ Chern-Simons gauge multiplets, which exhibit ${mathcal N}=4$ enhancements when a peculiar condition on the Chern-Simons levels is met. An example is […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Siyu Long, Yi Zhou, Xinyu Dai, Hao Zhou, | Summary: Drug design is a crucial step in the drug discovery cycle. Recently, various deep learning-based methods design drugs by generating novel molecules from scratch, avoiding traversing large-scale drug libraries. However, they depend on scarce experimental data or […]