Kavli Affiliate: Long Zhang | First 5 Authors: Xinrun Mi, Kunya Yang, Yuhan Gan, Long Zhang, Aifeng Wang | Summary: The interplay between lattice geometry, band topology and electronic correlations in the newly discovered kagome compounds AV$_3$Sb$_5$ (A=K, Rb, Cs) makes this family a novel playground to investigate emergent quantum phenomena, such as unconventional superconductivity, […]
Kavli Affiliate: Erich Jarvis | First 5 Authors: Matthew T Biegler, Kirubel Belay, Wei Wang, Christina Szi, Paul G Collier, Ji-Dung Luo, Bettina Haase, Gregory L. Gedman, Asha V. Sidhu, Elijah Harter, Carlos Rivera-Lopez, Kwame Amoako-Boadu, Olivier Fedrigo, Hagen U. Tilgner, Thomas T Carroll, Erich D. Jarvis and Anna L. Keyte | Summary: The diversity […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Qi Zhang, Jiang Zhu, Fengzhong Qu, Zheng Zhu, De Wen Soh | Summary: Modulo sampling (MS) has been recently introduced to enhance the dynamic range of conventional ADCs by applying a modulo operator before sampling. This paper examines the identifiability of a measurement model where measurements are […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Qi Zhang, Jiang Zhu, Fengzhong Qu, Zheng Zhu, De Wen Soh | Summary: Unlimited sampling was recently introduced to deal with the clipping or saturation of measurements where a modulo operator is applied before sampling. In this paper, we investigate the identifiability of the model where measurements […]
Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Takumi Funato, Shunichiro Kinoshita, Norihiro Tanahashi, Shin Nakamura, Mamoru Matsuo | Summary: We study nonequilibrium spin dynamics in differentially rotating systems, deriving an effective Hamiltonian for conduction electrons in the comoving frame. In contrast to conventional spin current generation mechanisms that require vorticity, our theory describes spins […]
Kavli Affiliate: Kristin A. Persson | First 5 Authors: Ilyes Batatia, Philipp Benner, Yuan Chiang, Alin M. Elena, Dávid P. Kovács | Summary: Machine-learned force fields have transformed the atomistic modelling of materials by enabling simulations of ab initio quality on unprecedented time and length scales. However, they are currently limited by: (i) the significant […]
Kavli Affiliate: Kristin A. Persson | First 5 Authors: Ilyes Batatia, Philipp Benner, Yuan Chiang, Alin M. Elena, Dávid P. Kovács | Summary: Machine-learned force fields have transformed the atomistic modelling of materials by enabling simulations of ab initio quality on unprecedented time and length scales. However, they are currently limited by: (i) the significant […]
Kavli Affiliate: Dwight Bergles | First 5 Authors: Marc Duque, Alex B. Chen, Eric Hsu, Sujatha Narayan, Altyn Rymbek, Shahinoor Begum, Gesine Saher, Adam Ezra Cohen, David E. Olson, David A Prober, Dwight E Bergles, Mark C Fishman, Florian Engert and Misha B Ahrens | Summary: Mood-altering compounds hold promise for the treatment of many […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Long B. Nguyen, Noah Goss, Karthik Siva, Yosep Kim, Ed Younis | Summary: High-dimensional quantum information processing has emerged as a promising avenue to transcend hardware limitations and advance the frontiers of quantum technologies. Harnessing the untapped potential of the so-called qudits necessitates the development of quantum […]
Kavli Affiliate: Jing Wang | First 5 Authors: Xinhui Zhang, Naike Du, Jing Wang, Andrea Massa, Xiuzhu Ye | Summary: Starting from the observation that the correlation coefficient defined by the scattered field data tested by two adjacent antennas decreases with the noise, it turns out that the imaging performance can be improved by adding […]