Are We Ready for Planetary Exploration Robots? The TAIL-Plus Dataset for SLAM in Granular Environments

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zirui Wang, Chen Yao, Yangtao Ge, Guowei Shi, Ningbo Yang | Summary: So far, planetary surface exploration depends on various mobile robot platforms. The autonomous navigation and decision-making of these mobile robots in complex terrains largely rely on their terrain-aware perception, localization and mapping capabilities. In this […]


Continue.. Are We Ready for Planetary Exploration Robots? The TAIL-Plus Dataset for SLAM in Granular Environments

DMesh: A Differentiable Representation for General Meshes

Kavli Affiliate: Yi Zhou | First 5 Authors: Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin | Summary: We present a differentiable representation, DMesh, for general 3D triangular meshes. DMesh considers both the geometry and connectivity information of a mesh. In our design, we first get a set of convex tetrahedra that […]


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Effect of disorder on Berry curvature and quantum metric in two-band gapped graphene

Kavli Affiliate: Gang Su | First 5 Authors: Ze Liu, Zhi-Fan Zhang, Zhen-Gang Zhu, Gang Su, | Summary: The geometric properties of parameter space are mostly described by Berry curvature and quantum metric, which is the imaginary and real part of quantum geometric tensor, respectively. In this work, we calculate the dressed Berry curvature and […]


Continue.. Effect of disorder on Berry curvature and quantum metric in two-band gapped graphene

Effect of disorder on Berry curvature and quantum metric in two-band gapped graphene

Kavli Affiliate: Gang Su | First 5 Authors: Ze Liu, Zhi-Fan Zhang, Zhen-Gang Zhu, Gang Su, | Summary: The geometric properties of parameter space are mostly described by Berry curvature and quantum metric, which are the imaginary and real part of quantum geometric tensor, respectively. In this work, we calculate the dressed Berry curvature and […]


Continue.. Effect of disorder on Berry curvature and quantum metric in two-band gapped graphene

End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver

Kavli Affiliate: Yi Zhou | First 5 Authors: Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, Yi Zhou, | Summary: Deep learning has been widely applied to solve partial differential equations (PDEs) in computational fluid dynamics. Recent research proposed a PDE correction framework that leverages deep learning to correct the solution obtained by a PDE solver on […]


Continue.. End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver

End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver

Kavli Affiliate: Yi Zhou | First 5 Authors: Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, Yi Zhou, | Summary: Deep learning has been widely applied to solve partial differential equations (PDEs) in computational fluid dynamics. Recent research proposed a PDE correction framework that leverages deep learning to correct the solution obtained by a PDE solver on […]


Continue.. End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver

Dissecting Quantum Many-body Chaos in the Krylov Space

Kavli Affiliate: Huajia Wang | First 5 Authors: Liangyu Chen, Baoyuan Mu, Huajia Wang, Pengfei Zhang, | Summary: The growth of simple operators is essential for the emergence of chaotic dynamics and quantum thermalization. Recent studies have proposed different measures, including the out-of-time-order correlator and Krylov complexity. It is established that the out-of-time-order correlator serves […]


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Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood

Kavli Affiliate: Yi Zhou | First 5 Authors: Taojun Hu, Yi Zhou, Sattoshi Hattori, , | Summary: Meta-analysis is a powerful tool to synthesize findings from multiple studies. The normal-normal random-effects model is widely used accounting for between-study heterogeneity. However, meta-analysis of sparse data, which may arise when the event rate is low for binary […]


Continue.. Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood

Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood

Kavli Affiliate: Yi Zhou | First 5 Authors: Taojun Hu, Yi Zhou, Satoshi Hattori, , | Summary: Meta-analysis is a powerful tool to synthesize findings from multiple studies. The normal-normal random-effects model is widely used to account for between-study heterogeneity. However, meta-analysis of sparse data, which may arise when the event rate is low for […]


Continue.. Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood

Correlation decoupling of Casimir interaction in an electrolyte driven by external electric fields

Kavli Affiliate: Rudolf Podgornik | First 5 Authors: Guangle Du, David S. Dean, Bing Miao, Rudolf Podgornik, | Summary: It has been established for a long time that the long range van der Waals or thermal Casimir interaction between two semi-infinite dielectrics separated by a distance $H$ is screened by an intervening electrolyte. Here we […]


Continue.. Correlation decoupling of Casimir interaction in an electrolyte driven by external electric fields