Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Ping Ai, Luca Moreschini, Ryo Mori, Drew W. Latzke, Jonathan D. Denlinger | Summary: Molecular crystals are a flexible platform to induce novel electronic phases. Due to the weak forces between molecules, intermolecular distances can be varied over relatively larger ranges than interatomic distances in atomic crystals. […]
Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Ping Ai, Luca Moreschini, Ryo Mori, Drew W. Latzke, Jonathan D. Denlinger | Summary: Molecular crystals are a flexible platform to induce novel electronic phases. Due to the weak forces between molecules, intermolecular distances can be varied over relatively larger ranges than interatomic distances in atomic crystals. […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Yan Lu, Huan Yan, Jingyang Huang, Yusheng Ji | Summary: Because of the ambiguous and subjective property of the facial expression recognition (FER) task, the label noise is widely existing in the FER dataset. For this problem, in the training phase, current FER methods often […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Senwei Liang, Aditya N. Singh, Yuanran Zhu, David T. Limmer, Chao Yang | Summary: We propose a reinforcement learning based method to identify important configurations that connect reactant and product states along chemical reaction paths. By shooting multiple trajectories from these configurations, we can generate an […]
Kavli Affiliate: Ting Xu | First 5 Authors: Ting Xu, Huiyun Yang, Zhen Wu, Jiaze Chen, Fei Zhao | Summary: Aspect Sentiment Triplet Extraction (ASTE) is widely used in various applications. However, existing ASTE datasets are limited in their ability to represent real-world scenarios, hindering the advancement of research in this area. In this paper, […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen | Summary: Graph convolutional networks (GCNs) are emph{discriminative models} that directly model the class posterior $p(y|mathbf{x})$ for semi-supervised classification of graph data. While being effective, as a representation learning approach, the node representations extracted from a GCN often miss […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Noah Goss, Samuele Ferracin, Akel Hashim, Arnaud Carignan-Dugas, John Mark Kreikebaum | Summary: Quantum computing with qudits is an emerging approach that exploits a larger, more-connected computational space, providing advantages for many applications, including quantum simulation and quantum error correction. Nonetheless, qudits are typically afflicted by more […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Noah Goss, Samuele Ferracin, Akel Hashim, Arnaud Carignan-Dugas, John Mark Kreikebaum | Summary: Quantum computing with qudits is an emerging approach that exploits a larger, more-connected computational space, providing advantages for many applications, including quantum simulation and quantum error correction. Nonetheless, qudits are typically afflicted by more […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Jingwen Ma, Ding Jia, Li Zhang, Yi-jun Guan, Yong Ge | Summary: As a hypothetical topological defect in the geometry of spacetime, vortex strings play a crucial role in shaping the clusters of galaxies that exist today, and their distinct features can provide observable clues about the […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Chuan-Fu Yang | Summary: We consider the vector-impulsive Sturm-Liouville problem with Neumann conditions. The Ambarzumyan$^{textbf{,}}$s theorem for the problem is proved, which states that if the eigenvalues of the problem coincide with those of the zero potential, then the potential is zero. | Search Query: […]