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: 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: Kristin Persson | Summary:Atomistic simulations of matter, especially those that leverage first-principles (ab initio) electronic structure theory, provide a microscopic view of the world, underpinning much of our understanding of chemistry and materials science. Over the last decade or so, machine-learned force fields have transformed atomistic modeling by enabling simulations of ab initio […]
Kavli Affiliate: Kristin A. Persson | First 5 Authors: Ilyes Batatia, Ilyes Batatia, , , | Summary: Atomistic simulations of matter, especially those that leverage first-principles (ab initio) electronic structure theory, provide a microscopic view of the world, underpinning much of our understanding of chemistry and materials science. Over the last decade or so, machine-learned […]
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: 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 […]
Kavli Affiliate: Feng Wang | First 5 Authors: Youzhe Song, Youzhe Song, , , | Summary: The quality of a face crop in an image is decided by many factors such as camera resolution, distance, and illumination condition. This makes the discrimination of face images with different qualities a challenging problem in realistic applications. However, […]
Kavli Affiliate: Feng Wang | First 5 Authors: Youzhe Song, Feng Wang, , , | Summary: The quality of a face crop in an image is decided by many factors such as camera resolution, distance, and illumination condition. This makes the discrimination of face images with different qualities a challenging problem in realistic applications. However, […]