Discovering two-dimensional magnetic topological insulators by machine learning

Kavli Affiliate: Jing Wang | First 5 Authors: Haosheng Xu, Yadong Jiang, Huan Wang, Jing Wang, | Summary: Topological materials with unconventional electronic properties have been investigated intensively for both fundamental and practical interests. Thousands of topological materials have been identified by symmetry-based analysis and ab initio calculations. However, the predicted magnetic topological insulators with […]


Continue.. Discovering two-dimensional magnetic topological insulators by machine learning

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]


Continue.. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]


Continue.. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]


Continue.. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Axion Insulator State in Hundred-Nanometer-Thick Magnetic Topological Insulator Sandwich Heterostructures

Kavli Affiliate: Ke Wang | First 5 Authors: Deyi Zhuo, Zi-Jie Yan, Zi-Ting Sun, Ling-Jie Zhou, Yi-Fan Zhao | Summary: An axion insulator is a three-dimensional (3D) topological insulator (TI), in which the bulk maintains the time-reversal symmetry or inversion symmetry but the surface states are gapped by surface magnetization. The axion insulator state has […]


Continue.. Axion Insulator State in Hundred-Nanometer-Thick Magnetic Topological Insulator Sandwich Heterostructures

A characterization of ASAS-SN core-collapse supernova environments with VLT+MUSE: I. Sample selection, analysis of local environments, and correlations with light curve properties

Kavli Affiliate: Subo Dong | First 5 Authors: Thallis Pessi, Jose L. Prieto, Joseph P. Anderson, LluĂ­s Galbany, Joseph D. Lyman | Summary: The analysis of core-collapse supernova (CCSN) environments can provide important information on the life cycle of massive stars and constrain the progenitor properties of these powerful explosions. The MUSE instrument at the […]


Continue.. A characterization of ASAS-SN core-collapse supernova environments with VLT+MUSE: I. Sample selection, analysis of local environments, and correlations with light curve properties

Pulsar timing array detections of supermassive binary black holes: implications from the detected common process signal and beyond

Kavli Affiliate: Qingjuan Yu | First 5 Authors: Yunfeng Chen, Qingjuan Yu, Youjun Lu, , | Summary: Pulsar timing arrays (PTAs) are anticipated to detect the stochastic gravitational wave background (GWB) from supermassive binary black holes (BBHs) as well as the gravitational waves from individual BBHs. Recently, a common process signal was reported by several […]


Continue.. Pulsar timing array detections of supermassive binary black holes: implications from the detected common process signal and beyond

Pulsar timing array detections of supermassive binary black holes: implications from the detected common process signal and beyond

Kavli Affiliate: Qingjuan Yu | First 5 Authors: , , , , | Summary: Pulsar timing arrays (PTAs) are anticipated to detect the stochastic gravitational wave background (GWB) from supermassive binary black holes (BBHs) as well as the gravitational waves from individual BBHs. Recently, a common process signal was reported by several PTAs. In this […]


Continue.. Pulsar timing array detections of supermassive binary black holes: implications from the detected common process signal and beyond

The correlations of stellar tidal disruption rates with properties of massive black holes and their host galaxies

Kavli Affiliate: Qingjuan Yu | First 5 Authors: Yunfeng Chen, Qingjuan Yu, Youjun Lu, , | Summary: Stars can be either disrupted as tidal disruption events (TDEs) or swallowed as a whole by massive black holes (MBHs) at galactic centers when they approach sufficiently close to these MBHs. In this work, we investigate the correlations […]


Continue.. The correlations of stellar tidal disruption rates with properties of massive black holes and their host galaxies