Ligang Sun

Dr. Ligang Sun


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 April 2017 in Nature
Verified
Journal Article
Closed access
GWGe Wu
Ge Wu
KCKa-Cheung Chan
Ka-Cheung Chan
Linli ZhuLinli Zhu
Linli Zhu
LSLigang Sun
Ligang Sun
JLJian Lu
Jian Lu

3 January 2024 in Nature
Verified
Journal Article
Closed access
PDF file
ZAZibing An
Zibing An
ALAng Li
Ang Li
SMShengcheng Mao
Shengcheng Mao
TYTao Yang
Tao Yang
LZLingyu Zhu
Lingyu Zhu
XHXiaodong Han
Xiaodong Han

25 November 2024 in Nature Communications
Verified
Journal Article
Open access
PDF file
KSKeke Song
Keke Song
RZRui Zhao
Rui Zhao
JLJiahui Liu
Jiahui Liu
YWYanzhou Wang
Yanzhou Wang
ELEric Lindgren
Eric Lindgren
Zheyong FanZheyong Fan
Zheyong Fan
Machine-learned potentials (MLPs) have exhibited remarkable accuracy, yet the lack of general-purpose MLPs for a broad spectrum of elements and their alloys limits their applicability. Here, we present a promising approach for constructing a unified general-purpose MLP for numerous elements, demonstrated through a model (UNEP-v1) for 16 elemental metals and their alloys. To achieve a complete representation of the chemical space, we show, via principal component analysis and diverse test datasets, that employing one-component and two-component systems suffices. Our unified UNEP-v1 model exhibits superior performance across various physical properties compared to a widely used embedded-atom method potential, while maintaining remarkable efficiency. We demonstrate our approach’s effectiveness through reproducing experimentally observed chemical order and stable phases, and large-scale simulations of plasticity and primary radiation damage in MoTaVW alloys.

30 May 2021 in Advanced Functional Materials
Verified
Journal Article
Closed access
PDF file
ZJZhe Jia
Zhe Jia
KNKeita Nomoto
Keita Nomoto
QWQing Wang
Qing Wang
CKCharlie Kong
Charlie Kong
LSLigang Sun
Ligang Sun
JKJamie J. Kruzic
Jamie J. Kruzic

5 February 2018 in npj Computational Materials
Verified
Journal Article
Open access
PDF file
LSLigang Sun
Ligang Sun
XHXiaoqiao He
Xiaoqiao He
JLJian Lu
Jian Lu
The recent studies on nanotwinned (NT) and hierarchical nanotwinned (HNT) face-centered cubic (FCC) metals are presented in this review. The HNT structures have been supposed as a kind of novel structure to bring about higher strength/ductility than NT counterparts in crystalline materials. We primarily focus on the recent developments of the experimental, atomistic and theoretical studies on the NT and HNT structures in the metallic materials. Some advanced bottom-up and top-down techniques for the fabrication of NT and HNT structures are introduced. The deformation induced HNT structures are available by virtue of severe plastic deformation (SPD) based techniques while the synthesis of growth HNT structures is so far almost unavailable. In addition, some representative molecular dynamics (MD) studies on the NT and HNT FCC metals unveil that the nanoscale effects such as twin spacing, grain size and plastic anisotropy greatly alter the performance of NT and HNT metals. The HNT structures may initiate unique phenomena in comparison with the NT ones. Furthermore, based on the phenomena and mechanisms revealed by experimental and MD simulation observations, a series of theoretical models have been proposed. They are effective to describe the mechanical behaviors of NT and HNT metals within the applicable scope. So far the development of manufacturing technologies of HNT structures, as well as the studies on the effects of HNT structures on the properties of metals are still in its infancy. Further exploration is required to promote the design of advanced materials.

1 May 2018 in Acta Materialia
Verified
Journal Article
Closed access
XLXiaowei Liu
Xiaowei Liu
LSLigang Sun
Ligang Sun
Linli ZhuLinli Zhu
Linli Zhu
JLJiabin Liu
Jiabin Liu
KLK. Lu
K. Lu
JLJian Lu
Jian Lu