Run Hu

Prof. Dr. Run Hu

School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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17 March 2020 in Advanced Energy Materials
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Journal Article
Closed access
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Run HuRun Hu
Run Hu
YLYida Liu
Yida Liu
SSSunmi Shin
Sunmi Shin
SHShiyao Huang
Shiyao Huang
XRXuecheng Ren
Xuecheng Ren
XLXiaobing Luo
Xiaobing Luo

1 September 2016 in Progress in Energy and Combustion Science
Verified
Journal Article
Closed access
XLXiaobing Luo
Xiaobing Luo
Run HuRun Hu
Run Hu
SLsheng liu
sheng liu
KWKai Wang
Kai Wang

17 April 2018 in Advanced Materials
Verified
Journal Article
Closed access
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Run HuRun Hu
Run Hu
SZShuling Zhou
Shuling Zhou
Ying LiYing Li
Ying Li
DLDangyuan Lei
Dangyuan Lei
XLXiaobing Luo
Xiaobing Luo
CQCheng-Wei Qiu
Cheng-Wei Qiu

1 May 2020 in Materials Today
Verified
Journal Article
Open access
WYWei Yan
Wei Yan
CDChaoqun Dong
Chaoqun Dong
YXYuanzhuo Xiang
Yuanzhuo Xiang
SJShan Jiang
Shan Jiang
ALAndreas Leber
Andreas Leber
GTGuangming Tao
Guangming Tao

4 August 2023 in Nature Communications
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Journal Article
Open access
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WXWang Xi
Wang Xi
YLYun-Jo Lee
Yun-Jo Lee
SYShilv Yu
Shilv Yu
ZCZihe Chen
Zihe Chen
JSJunichiro Shiomi
Junichiro Shiomi
Run HuRun Hu
Run Hu
Multispectral camouflage technologies, especially in the most frequently-used visible and infrared (VIS-IR) bands, are in increasing demand for the ever-growing multispectral detection technologies. Nevertheless, the efficient design of proper materials and structures for VIS-IR camouflage is still challenging because of the stringent requirement for selective spectra in a large VIS-IR wavelength range and the increasing demand for flexible color and infrared signal adaptivity. Here, a material-informatics-based inverse design framework is proposed to efficiently design multilayer germanium (Ge) and zinc sulfide (ZnS) metamaterials by evaluating only ~1% of the total candidates. The designed metamaterials exhibit excellent color matching and infrared camouflage performance from different observation angles and temperatures through both simulations and infrared experiments. The present material informatics inverse design framework is highly efficient and can be applied to other multi-objective optimization problems beyond multispectral camouflage.

10 December 2021 in Nature Communications
Verified
Journal Article
Open access
PDF file
WSWei Sha
Wei Sha
MXMi Xiao
Mi Xiao
JZJinhao Zhang
Jinhao Zhang
XRXuecheng Ren
Xuecheng Ren
ZZZhan Zhu
Zhan Zhu
Run HuRun Hu
Run Hu
Thermal metamaterials have exhibited great potential on manipulating, controlling and processing the flow of heat, and enabled many promising thermal metadevices, including thermal concentrator, rotator, cloak, etc. However, three long-standing challenges remain formidable, i.e., transformation optics-induced anisotropic material parameters, the limited shape adaptability of experimental thermal metadevices, and a priori knowledge of background temperatures and thermal functionalities. Here, we present robustly printable freeform thermal metamaterials to address these long-standing difficulties. This recipe, taking the local thermal conductivity tensors as the input, resorts to topology optimization for the freeform designs of topological functional cells (TFCs), and then directly assembles and prints them. Three freeform thermal metadevices (concentrator, rotator, and cloak) are specifically designed and 3D-printed, and their omnidirectional concentrating, rotating, and cloaking functionalities are demonstrated both numerically and experimentally. Our study paves a powerful and flexible design paradigm toward advanced thermal metamaterials with complex shapes, omnidirectional functionality, background temperature independence, and fast-prototyping capability.