High-throughput determination of Hubbard U and Hund J values for transition metal oxides via linear response formalism

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Guy C. Moore, Matthew K. Horton, Alexander M. Ganose, Martin Siron, Kristin A. Persson | Summary: Hubbard U and Hund J values provide a measure of the self-interaction between correlated electrons, and are crucial parameters in the formalism of density functional theory with a "plus U" […]


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Nature of novel moiré exciton states in WSe$_2$/WS$_2$ heterobilayers

Kavli Affiliate: Feng Wang | First 5 Authors: Mit H. Naik, Emma C. Regan, Zuocheng Zhang, Yang-hao Chan, Zhenglu Li | Summary: Moir’e patterns of transition metal dichalcogenide (TMD) heterobilayers have proven to be an ideal platform to host unusual correlated electronic phases, emerging magnetism, and correlated exciton physics. While the existence of novel moir’e […]


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An Empirical Evaluation On the Applicability of the DALiuGE Execution Framework

Kavli Affiliate: Feng Wang | First 5 Authors: Ying Mei, Shoulin Wei, Feng Wang, Chen Wu, Rodrigo Tobar | Summary: The Square Kilometre Array (SKA) project is an international cooperation project to build the largest radio telescope worldwide. Data processing is one of the biggest challenges of building the SKA telescope. As a distributed execution […]


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TECM: Transfer Evidential C-means Clustering

Kavli Affiliate: Feng Wang | First 5 Authors: Lianmeng Jiao, Feng Wang, Zhun-ga Liu, Quan Pan, | Summary: Clustering is widely used in text analysis, natural language processing, image segmentation, and other data mining fields. As a promising clustering algorithm, the evidential c-means (ECM) can provide a deeper insight on the data by allowing an […]


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TECM: Transfer Learning-based Evidential C-Means Clustering

Kavli Affiliate: Feng Wang | First 5 Authors: Lianmeng Jiao, Feng Wang, Zhun-ga Liu, Quan Pan, | Summary: As a representative evidential clustering algorithm, evidential c-means (ECM) provides a deeper insight into the data by allowing an object to belong not only to a single class, but also to any subset of a collection of […]


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Anomalous Josephson Effect in Topological Insulator-Based Josephson Trijunction

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Zhaozheng Lyu, Guang Yang, Bing Li, Yan-Liang Hou | Summary: We studied anomalous Josephson effect (AJE) in Josephson trijunctions fabricated on Bi$_2$Se$_3$, and found that the AJE in T-shaped trijunctions significantly alters the Majorana phase diagram of the trijunctions, when an in-plane magnetic field is […]


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Nonlocal screening dictates the radiative lifetimes of excitations in lead halide perovskites

Kavli Affiliate: David T. Limmer | First 5 Authors: Yoonjae Park, Amael Obliger, David T. Limmer, , | Summary: We use path integral molecular dynamics simulations and theory to elucidate the interactions between charge carriers, as mediated by a lead halide perovskite lattice. We find that the charge-lattice coupling of MAPbI$_3$ results in a repulsive […]


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Tracing Text Provenance via Context-Aware Lexical Substitution

Kavli Affiliate: Feng Wang | First 5 Authors: Xi Yang, Jie Zhang, Kejiang Chen, Weiming Zhang, Zehua Ma | Summary: Text content created by humans or language models is often stolen or misused by adversaries. Tracing text provenance can help claim the ownership of text content or identify the malicious users who distribute misleading content […]


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Embracing Single Stride 3D Object Detector with Sparse Transformer

Kavli Affiliate: Feng Wang | First 5 Authors: Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao | Summary: In LiDAR-based 3D object detection for autonomous driving, the ratio of the object size to input scene size is significantly smaller compared to 2D detection cases. Overlooking this difference, many 3D detectors directly follow the […]


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Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning

Kavli Affiliate: Felix Fischer | First 5 Authors: DeepMind Interactive Agents Team, Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale | Summary: A common vision from science fiction is that robots will one day inhabit our physical spaces, sense the world as we do, assist our physical labours, and communicate with us through natural language. […]


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