Kavli Affiliate: Scott K. Cushing | First 5 Authors: Kim H. Pham, Scott K. Cushing, , , | Summary: Superionic conductors, or solid-state ion-conductors that surpass 0.01 S/cm in conductivity, can enable more energy dense batteries, robust artificial ion pumps, and optimized fuel cells. However, tailoring superionic conductors require precise knowledge of ion migration mechanisms […]
Kavli Affiliate: Scott K. Cushing | First 5 Authors: Kim H. Pham, Scott K. Cushing, , , | Summary: Superionic conductors, or solid-state ion-conductors surpassing 0.01 S/cm in conductivity, can enable more energy dense batteries, robust artificial ion pumps, and optimized fuel cells. However, tailoring superionic conductors require precise knowledge of ion migration mechanisms that […]
Kavli Affiliate: Michael Wimmer | First 5 Authors: João Libório Cardoso, Bernhard Kerbl, Lei Yang, Yury Uralsky, Michael Wimmer | Summary: Visual error metrics play a fundamental role in the quantification of perceived image similarity. Most recently, use cases for them in real-time applications have emerged, such as content-adaptive shading and shading reuse to increase […]
Kavli Affiliate: Michael Wimmer | First 5 Authors: Chun-Xiao Liu, A. Mert Bozkurt, Francesco Zatelli, Sebastiaan L. D. ten Haaf, Tom Dvir | Summary: Connecting double quantum dots via a semiconductor-superconductor hybrid segment offers a platform for creating a two-site Kitaev chain that hosts a pair of "poor man’s Majoranas" at a finely tuned sweet […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Huili Cai, Xiang Zhang, Xiaofeng Liu, , | Summary: Time series classification is a critical task in various domains, such as finance, healthcare, and sensor data analysis. Unsupervised contrastive learning has garnered significant interest in learning effective representations from time series data with limited labels. The prevalent […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Huili Cai, Xiang Zhang, Xiaofeng Liu, , | Summary: Time series classification is a critical task in various domains, such as finance, healthcare, and sensor data analysis. Unsupervised contrastive learning has garnered significant interest in learning effective representations from time series data with limited labels. The prevalent […]
Kavli Affiliate: Joseph Falson | First 5 Authors: Soyun Kim, Jeonghoon Hong, Kenji Watanabe, Takashi Taniguchi, Joseph Falson | Summary: We report the transport properties of ${alpha}$-RuCl$_3$/bilayer graphene heterostructures, where carrier doping is induced by a work function difference, resulting in distinct electron and hole populations in ${alpha}$-RuCl3 and bilayer graphene, respectively. Through a comprehensive […]
Kavli Affiliate: Michael Brenner | First 5 Authors: Ariel Goldstein, Eric Ham, Mariano Schain, Samuel Nastase, Zaid Zada | Summary: Deep Language Models (DLMs) provide a novel computational paradigm for understanding the mechanisms of natural language processing in the human brain. Unlike traditional psycholinguistic models, DLMs use layered sequences of continuous numerical vectors to represent […]
Kavli Affiliate: Alireza Marandi | First 5 Authors: Nathan Harper, Emily Hwang, Ryoto Sekine, Luis Ledezma, Christian Perez | Summary: Efficient on-chip entangled photon pair generation at telecom wavelengths is an integral aspect of emerging quantum optical technologies, particularly for quantum communication and computing. However, moving to shorter wavelengths enables the use of more accessible […]
Kavli Affiliate: Scott K. Cushing | First 5 Authors: Nathan A. Harper, Emily Y. Hwang, Ryoto Sekine, Luis Ledezma, Christian Perez | Summary: Efficient on-chip entangled photon pair generation at telecom wavelengths is an integral aspect of emerging quantum optical technologies, particularly for quantum communication and computing. However, moving to shorter wavelengths enables the use […]