papers

Publications (15)

cond-mat.mtrl-sci2018

Ab initio study of energetics and structures of heterophase interfaces: from coherent to semicoherent interfaces

Song Lu, John à gren, Levente Vitos

Density functional theory calculations have been performed to study the structures and energetics of coherent and semicoherent TiC/Fe interfaces. A systematic method for determinin…

cs.AI2025

ELASTIC: Efficient Linear Attention for Sequential Interest Compression

Jiaxin Deng, Shiyao Wang, Song Lu +5

State-of-the-art sequential recommendation models heavily rely on transformer's attention mechanism. However, the quadratic computational and memory complexities of self attention…

cs.IR2023

Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework

Yang Zhang, Yimeng Bai, Jianxin Chang +6

With the proliferation of short video applications, the significance of short video recommendations has vastly increased. Unlike other recommendation scenarios, short video recomme…

math.NA2022

A Geometrically Consistent Trace Finite Element Method For The Laplace-Beltrami Eigenvalue Problem

Song Lu, Xianmin Xu

In this paper, we propose a new trace finite element method for the {Laplace-Beltrami} eigenvalue problem. The method is proposed directly on a smooth manifold which is implicitly…

cs.RO2026

M3imic: Learning a Versatile Whole-Body Controller for Multimodal Motion Mimicking

Zuxing Lu, Ziang Zheng, Yao Lyu +7

Building a general-purpose whole-body controller is essential for enabling diverse motion capabilities in humanoid robots across a wide range of downstream tasks, including locomot…

cond-mat.mtrl-sci2015

Effect of interstitial-driven lattice expansion on the stacking fault energy in austenitic steels

Song Lu, Wei Li, Se Kyun Kwon +4

Interstitials (carbon and nitrogen) are crucial alloying elements for optimizing the mechanical performance of the twinning-induced plasticity (TWIP) steels in terms of the stackin…

cond-mat.mtrl-sci2021

Theory of transformation-mediated twinning

Song Lu, Xun Sun, Xianghai An +4

High-density and nanosized deformation twins in face-centered cubic (fcc)materials can effectively improve the combination of strength and ductility. However, the microscopic dislo…

cond-mat.mtrl-sci2021

Predicting grain boundary energies of complex alloys from ab initio calculations

Changle Li, Song Lu, Levente Vitos

Investigating the grain boundary energies of pure fcc metals and their surface energies obtained from ab initio modeling, we introduce a robust method to estimate the grain boundar…

cond-mat.mtrl-sci2015

First-Principles prediction of the deformation modes in austenitic Fe-Cr-Ni alloys

Wei Li, Song Lu, Dongyoo Kim +3

First-principles alloy theory is used to establish the -surface of Fe-Cr-Ni alloys as function of chemical composition and temperature. The theoretical stacking fault energy (S…

math.NA2020

An efficient diffusion generated motion method for wetting dynamics

Song Lu, Xianmin Xu

By using the Onsager variational principle as an approximation tool, we develop a new diffusion generated motion method for wetting problems. The method uses a signed distance func…

cond-mat.mtrl-sci2020

Designing transformation-induced plasticity and twinning-induced plasticity Cr-Co-Ni medium entropy alloys: theory and experiment

Zhibiao Yang, Song Lu, Yangzhong Tian +4

In order to efficiently explore the nearly infinite composition space in multicomponent solid solution alloys, it is important to establish predictive design strategies and use com…

cond-mat.mtrl-sci2015

Stacking fault energy of face-centered cubic metals: thermodynamic and ab initio approaches

Ruihuan Li, Song Lu, Dongyoo Kim +4

The formation energy of the interface between face-centered cubic (fcc) and hexagonal close packed (hcp) structures is a key parameter in determining the stacking fault energy (SFE…

cs.CY2024

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration

Aiden Lewington, Alekhya Vittalam, Anshumaan Singh +48

Advances in artificial intelligence (AI) present significant risks and opportunities, requiring improved governance to mitigate societal harms and promote equitable benefits. Curre…

cond-mat.mtrl-sci2020

Can experiment determine the stacking fault energy of metastable alloys?

Xun Suna, Song Lu, Ruiwen Xie +8

Stacking fault energy (SFE) plays an important role in deformation mechanisms and mechanical properties of face-centered cubic (fcc) metals and alloys. In metastable fcc alloys, th…

cond-mat.mtrl-sci2020

Dissociated dislocation-mediated carbon transport and diffusion in austenitic iron

Ruiwen Xie, Song Lu, Wei Li +2

Dislocation-solute interaction plays fundamental roles in mechanical properties of alloys. Here, we disclose the essential features of dislocation-carbon interaction in austenitic…