Dan Luo

Dr. Dan Luo

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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2 June 2020 in Energy & Environmental Science
Verified
Journal Article
Closed access
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LYLuo Yu
Luo Yu
LWLibo Wu
Libo Wu
BMBrian McElhenny
Brian McElhenny
SSShaowei Song
Shaowei Song
DLDan Luo
Dan Luo
ZRZhifeng Ren
Zhifeng Ren
Developing energy- and time-saving methods to synthesize active and stable oxygen evolving catalysts is of great significance to hydrogen production from water electrolysis, which however remains a grand challenge. Here we report a one-step approach to grow highly porous S-doped Ni/Fe (oxy)hydroxide catalysts on Ni foam in several minutes under room temperature. This ultrafast method effectively engineers the surface of Ni foam into a rough S-doped Ni/Fe (oxy)hydroxide layer, which has multiple levels of porosity and good hydrophilic features and exhibits extraordinary oxygen evolution reaction (OER) performance in both alkaline salty water and seawater electrolytes. Specifically, the S-doped Ni/Fe (oxy)hydroxide catalyst requires low overpotentials of 300 and 398 mV to deliver current densities of 100 and 500 mA cm−2, respectively, when directly used as an OER catalyst in alkaline natural seawater electrolyte. Using this OER catalyst together with an efficient hydrogen evolution reaction catalyst, we have achieved the commercially demanded current densities of 500 and 1000 mA cm−2 at low voltages of 1.837 and 1.951 V, respectively, for overall alkaline seawater electrolysis at room temperature with very good durability. This work affords a cost-efficient surface engineering method to steer commercial Ni foam into robust OER catalysts for seawater electrolysis, which has important implications for both the hydrogen economy and environmental remediation.

20 June 2016 in Small
Verified
Journal Article
Closed access
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YLYan Liu
Yan Liu
DLDan Luo
Dan Luo
TWTie Wang
Tie Wang

5 August 2022 in Science Advances
Verified
Journal Article
Open access
XQXuecheng Qu
Xuecheng Qu
Zhuo LiuZhuo Liu
Zhuo Liu
PTPuchuan Tan
Puchuan Tan
CWChan Wang
Chan Wang
YLYing Liu
Ying Liu
Zhong Lin WangZhong Lin Wang
Zhong Lin Wang
Tactile perception includes the direct response of tactile corpuscles to environmental stimuli and psychological parameters associated with brain recognition. To date, several artificial haptic-based sensing techniques can accurately measure physical stimuli. However, quantifying the psychological parameters of tactile perception to achieve texture and roughness identification remains challenging. Here, we developed a smart finger with surpassed human tactile perception, which enabled accurate identification of material type and roughness through the integration of triboelectric sensing and machine learning. In principle, as each material has different capabilities to gain or lose electrons, a unique triboelectric fingerprint output will be generated when the triboelectric sensor is in contact with the measured object. The construction of a triboelectric sensor array could further eliminate interference from the environment, and the accuracy rate of material identification was as high as 96.8%. The proposed smart finger provides the possibility to impart artificial tactile perception to manipulators or prosthetics.

1 November 2017 in Nano Energy
Verified
Journal Article
Closed access
LYLuo Yu
Luo Yu
HZHaiqing Zhou
Haiqing Zhou
JSJingying Sun
Jingying Sun
FQFan Qin
Fan Qin
DLDan Luo
Dan Luo
ZRZhifeng Ren
Zhifeng Ren

1 November 2018 in Nano Energy
Verified
Journal Article
Closed access
LYLuo Yu
Luo Yu
IMIshwar Kumar Mishra
Ishwar Kumar Mishra
YXYunlong Xie
Yunlong Xie
HZHaiqing Zhou
Haiqing Zhou
JSJingying Sun
Jingying Sun
ZRZhifeng Ren
Zhifeng Ren

27 June 2016 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
DLDan Luo
Dan Luo
FWFeng Wang
Feng Wang
JZJingyi Zhu
Jingyi Zhu
FCFeng Cao
Feng Cao
YLYuan Liu
Yuan Liu
ZRZhifeng Ren
Zhifeng Ren
The current simple nanofluid flooding method for tertiary or enhanced oil recovery is inefficient, especially when used with low nanoparticle concentration. We have designed and produced a nanofluid of graphene-based amphiphilic nanosheets that is very effective at low concentration. Our nanosheets spontaneously approached the oil–water interface and reduced the interfacial tension in a saline environment (4 wt % NaCl and 1 wt % CaCl2), regardless of the solid surface wettability. A climbing film appeared and grew at moderate hydrodynamic condition to encapsulate the oil phase. With strong hydrodynamic power input, a solid-like interfacial film formed and was able to return to its original form even after being seriously disturbed. The film rapidly separated oil and water phases for slug-like oil displacement. The unique behavior of our nanosheet nanofluid tripled the best performance of conventional nanofluid flooding methods under similar conditions. Significance Improving crude oil recovery by 1% worldwide would result in a huge amount of crude oil resources becoming available. However, the economic and environmental concerns are too serious to ignore when chemical methods (surfactants or polymers flooding, etc.) are used for an average 10–20% enhancement for tertiary oil recovery. Simple nanofluid (containing only nanoparticles) flooding at low concentration (0.01 wt % or less) is a promising alternative, but the efficiency is below 5% in a saline environment (2 wt % or higher NaCl content). We report a simple nanofluid of graphene-based Janus amphiphilic nanosheets for enhanced oil recovery with efficiency of about 15.2%, comparable to chemical methods, which is both economically and environmentally beneficial to the petroleum industry.