Kavli Affiliate: David T. Limmer | First 5 Authors: Thomas P. Fay, David T. Limmer, , , | Summary: Triplet excited state generation plays a pivotal role in photosensitizers, however the reliance on transition metals and heavy atoms can limit the utility of these systems. In this study, we demonstrate that an interplay of competing […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Thomas P. Fay, David T. Limmer, , , | Summary: Triplet excited state generation plays a pivotal role in photosensitizers, however the reliance on transition metals and heavy atoms can limit the utility of these systems. In this study, we demonstrate that an interplay of competing […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Thomas P. Fay, David T. Limmer, , , | Summary: Triplet excited state generation plays a pivotal role in photosensitizers, however the reliance on transition metals and heavy atoms can limit the utility of these systems. In this study, we demonstrate that an interplay of competing […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Kaiye Shi, Xiang Zhang, Wei Zhang, , | Summary: Recently, anomalous Floquet topological phases without static counterparts have been observed in different systems, where periodically driven models are realized to support a winding number of 1 and a pair of edge modes in each quasienergy gap. Here, […]
Kavli Affiliate: Alireza Marandi | First 5 Authors: Mingchen Liu, Robert M. Gray, Arkadev Roy, Luis Ledezma, Alireza Marandi | Summary: Traditional absorption spectroscopy has fundamental difficulty in resolving small absorbance from strong background due to the instability of laser sources. Existing background-free methods in broadband vibrational spectroscopy help to alleviate this problem but face […]
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: 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: 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: 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, […]