Effective field theory for triple-Q magnetic orders on a hexagonal lattice

Kavli Affiliate: Yi Zhou | First 5 Authors: Jin-Tao Jin, Yi Zhou, , , | Summary: We develop a comprehensive Ginzburg-Landau theory describing triple-Q magnetic orders on hexagonal lattices, focusing on $O(N)$ models with $N=2$ and $N=3$. Through systematic analysis of symmetry-allowed terms in the free energy, we establish complete phase diagrams governed by competing […]


Continue.. Effective field theory for triple-Q magnetic orders on a hexagonal lattice

Effective field theory for triple-Q magnetic orders on a hexagonal lattice

Kavli Affiliate: Yi Zhou | First 5 Authors: Jin-Tao Jin, Yi Zhou, , , | Summary: We develop a comprehensive Ginzburg-Landau theory describing triple-Q magnetic orders on hexagonal lattices, focusing on $O(N)$ models with $N=2$ and $N=3$. Through systematic analysis of symmetry-allowed terms in the free energy, we establish complete phase diagrams governed by competing […]


Continue.. Effective field theory for triple-Q magnetic orders on a hexagonal lattice

ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Guosheng Zhao, Xiaofeng Wang, Chaojun Ni, Zheng Zhu, Wenkang Qin | Summary: Combining reconstruction models with generative models has emerged as a promising paradigm for closed-loop simulation in autonomous driving. For example, ReconDreamer has demonstrated remarkable success in rendering large-scale maneuvers. However, a significant gap remains between […]


Continue.. ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation

ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Guosheng Zhao, Guosheng Zhao, , , | Summary: Combining reconstruction models with generative models has emerged as a promising paradigm for closed-loop simulation in autonomous driving. For example, ReconDreamer has demonstrated remarkable success in rendering large-scale maneuvers. However, a significant gap remains between the generated data and […]


Continue.. ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation

A Promising Method for Strongly Correlated Electrons in Two Dimensions: Gutzwiller-Guided Density Matrix Renormalization Group

Kavli Affiliate: Yi Zhou | First 5 Authors: Hui-Ke Jin, Rong-Yang Sun, Hong-Hao Tu, Yi Zhou, | Summary: The study of strongly correlated electron systems remains a fundamental challenge in condensed matter physics, particularly in two-dimensional (2D) systems hosting various exotic phases of matter including quantum spin liquids, unconventional superconductivity, and topological orders. Although Density […]


Continue.. A Promising Method for Strongly Correlated Electrons in Two Dimensions: Gutzwiller-Guided Density Matrix Renormalization Group

CASE — Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement

Kavli Affiliate: Yi Zhou | First 5 Authors: Gaifan Zhang, Yi Zhou, Danushka Bollegala, , | Summary: The meaning conveyed by a sentence often depends on the context in which it appears. Despite the progress of sentence embedding methods, it remains unclear how to best modify a sentence embedding conditioned on its context. To address […]


Continue.. CASE — Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement

How to Train Your Dragon: Automatic Diffusion-Based Rigging for Characters with Diverse Topologies

Kavli Affiliate: Matthew Fisher | First 5 Authors: Zeqi Gu, Difan Liu, Timothy Langlois, Matthew Fisher, Abe Davis | Summary: Recent diffusion-based methods have achieved impressive results on animating images of human subjects. However, most of that success has built on human-specific body pose representations and extensive training with labeled real videos. In this work, […]


Continue.. How to Train Your Dragon: Automatic Diffusion-Based Rigging for Characters with Diverse Topologies

Multiferroic Tunnel Junction Based on above-Room-Temperature Altermagnetic CrSb, Ferroelectric In2Se3 and Ferromagnetic Fe3GaTe2

Kavli Affiliate: Long Zhang | First 5 Authors: Long Zhang, Guoying Gao, , , | Summary: Altermagnets (AMs) with non-relativistic momentum-dependent spin splitting and compensated net magnetic moments have recently garnered profound fascination. Their idiosyncratic electronic structures facilitate spintronics and electronics, yet room-temperature (RT) AM-based magnetic tunnel junctions (MTJs) with versatile tunneling magnetoresistance (TMR) and […]


Continue.. Multiferroic Tunnel Junction Based on above-Room-Temperature Altermagnetic CrSb, Ferroelectric In2Se3 and Ferromagnetic Fe3GaTe2

Above room temperature multiferroic tunnel junction with the altermagnetic metal CrSb

Kavli Affiliate: Long Zhang | First 5 Authors: , , , , | Summary: Altermagnets with nonrelativistic momentum-dependent spin splitting and compensated net magnetic moments have recently garnered significant interest in spintronics, particularly as pinning layers in magnetic tunnel junctions (MTJs). However, room temperature (RT) altermagnet-based MTJs with tunable tunneling magnetoresistance (TMR) or electroresistance (TER) […]


Continue.. Above room temperature multiferroic tunnel junction with the altermagnetic metal CrSb

Analysis of Information Loss on Composition Measurement in Stiff Chemically Reacting Systems

Kavli Affiliate: Long Zhang | First 5 Authors: Yiming Lu, Xu Zhu, Long Zhang, Hua Zhou, | Summary: Gas sampling methods have been crucial for the advancement of combustion science, enabling analysis of reaction kinetics and pollutant formation. However, the measured composition can deviate from the true one because of the potential residual reactions in […]


Continue.. Analysis of Information Loss on Composition Measurement in Stiff Chemically Reacting Systems