Engineering Fractional Chern Insulators through Periodic Strain in Monolayer Graphene and Transition Metal Dichalcogenides

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yuchen Liu, Zheng Zhu, , , | Summary: We propose the realization of interaction-driven insulators in periodically strained monolayer graphene and transition metal dichalcogenides (TMDs). By analyzing the tunable band structure and band geometry via strain, and performing extensive many-body exact diagonalization of a realistic model, we […]


Continue.. Engineering Fractional Chern Insulators through Periodic Strain in Monolayer Graphene and Transition Metal Dichalcogenides

Engineering Fractional Chern Insulators through Periodic Strain in Monolayer Graphene and Transition Metal Dichalcogenides

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yuchen Liu, Zheng Zhu, , , | Summary: We propose the realization of interaction-driven insulators in periodically strained monolayer graphene and transition metal dichalcogenides (TMDs). By analyzing the tunable band structure and band geometry via strain, and performing extensive many-body exact diagonalization of a realistic model, we […]


Continue.. Engineering Fractional Chern Insulators through Periodic Strain in Monolayer Graphene and Transition Metal Dichalcogenides

Turning Generative Models Degenerate: The Power of Data Poisoning Attacks

Kavli Affiliate: Yi Zhou | First 5 Authors: Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou, Farhan Ahmed, Ling Cai | Summary: The increasing use of large language models (LLMs) trained by third parties raises significant security concerns. In particular, malicious actors can introduce backdoors through poisoning attacks to generate undesirable outputs. While such attacks have […]


Continue.. Turning Generative Models Degenerate: The Power of Data Poisoning Attacks

Motion and Structure from Event-based Normal Flow

Kavli Affiliate: Yi Zhou | First 5 Authors: Zhongyang Ren, Bangyan Liao, Delei Kong, Jinghang Li, Peidong Liu | Summary: Recovering the camera motion and scene geometry from visual data is a fundamental problem in the field of computer vision. Its success in standard vision is attributed to the maturity of feature extraction, data association […]


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2D Neural Fields with Learned Discontinuities

Kavli Affiliate: Matthew Fisher | First 5 Authors: Chenxi Liu, Siqi Wang, Matthew Fisher, Deepali Aneja, Alec Jacobson | Summary: Effective representation of 2D images is fundamental in digital image processing, where traditional methods like raster and vector graphics struggle with sharpness and textural complexity respectively. Current neural fields offer high-fidelity and resolution independence but […]


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OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zijian Zhou, Zheng Zhu, Holger Caesar, Miaojing Shi, | Summary: Panoptic Scene Graph Generation (PSG) aims to segment objects and recognize their relations, enabling the structured understanding of an image. Previous methods focus on predicting predefined object and relation categories, hence limiting their applications in the open […]


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Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations among Multivariates

Kavli Affiliate: Gang Su | First 5 Authors: Gang Su, Sun Yang, Zhishuai Li, , | Summary: The steam drum water level is a critical parameter that directly impacts the safety and efficiency of power plant operations. However, predicting the drum water level in boilers is challenging due to complex non-linear process dynamics originating from […]


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An infrared census of R Coronae Borealis Stars II — Spectroscopic classifications and implications for the rate of low-mass white dwarf mergers

Kavli Affiliate: Lars Bildsten | First 5 Authors: Viraj R. Karambelkar, Mansi M. Kasliwal, Patrick Tisserand, Shreya Anand, Michael C. B. Ashley | Summary: We present results from a systematic infrared (IR) census of R Coronae Borealis (RCB) stars in the Milky Way, using data from the Palomar Gattini IR (PGIR) survey. R Coronae Borealis […]


Continue.. An infrared census of R Coronae Borealis Stars II — Spectroscopic classifications and implications for the rate of low-mass white dwarf mergers

Information dynamics in decohered quantum memory with repeated syndrome measurements: a dual approach

Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Jacob Hauser, Yimu Bao, Shengqi Sang, Ali Lavasani, Utkarsh Agrawal | Summary: Measurements can detect errors in a decohered quantum memory allowing active error correction to increase the memory time. Previous understanding of this mechanism has focused on evaluating the performance of error correction algorithms […]


Continue.. Information dynamics in decohered quantum memory with repeated syndrome measurements: a dual approach