Search Results - "Ma, Liangyu"

Refine Results
  1. 1

    Recent advances of MXene as promising catalysts for electrochemical nitrogen reduction reaction by Sun, Jie, Kong, Wenhan, Jin, Zhaoyong, Han, Yaqian, Ma, Liangyu, Ding, Xiaoteng, Niu, Yusheng, Xu, Yuanhong

    Published in Chinese chemical letters (01-04-2020)
    “…MXene-based materials were suggested to be promising candidates for electrocatalytic nitrogen reduction due to their exceptional properties [Display omitted]…”
    Get full text
    Journal Article
  2. 2

    Analytical methods for assessing antimicrobial activity of nanomaterials in complex media: advances, challenges, and perspectives by Zhang, Xuzhi, Hou, Xiangyi, Ma, Liangyu, Shi, Yaqi, Zhang, Dahai, Qu, Keming

    Published in Journal of nanobiotechnology (20-03-2023)
    “…Assessing the antimicrobial activity of engineered nanomaterials (ENMs), especially in realistic scenarios, is of great significance for both basic research…”
    Get full text
    Journal Article
  3. 3

    Two-dimensional transition metal dichalcogenides for electrocatalytic nitrogen fixation to ammonia: Advances, challenges and perspectives. A mini review by Ma, Liangyu, Li, Yijun, Xu, Yuanhong, Sun, Jie, Liu, Jie, Wu, Tianming, Ding, Xiaoteng, Niu, Yusheng

    Published in Electrochemistry communications (01-04-2021)
    “…[Display omitted] •Latest research on transition metal dichalcogenide (TMDC) catalysts for the nitrogen reduction reaction (NRR) is reviewed.•Strategies to…”
    Get full text
    Journal Article
  4. 4

    A hybrid optimization-based recurrent neural network for real-time data prediction by Wang, Xiaoxia, Ma, Liangyu, Wang, Bingshu, Wang, Tao

    Published in Neurocomputing (Amsterdam) (01-11-2013)
    “…This paper proposes a novel hybrid optimization algorithm for simultaneous structure and parameter learning of Elman-type recurrent neural networks (RNNs)…”
    Get full text
    Journal Article
  5. 5

    Comparison of the two surgery methods combined with accelerated rehabilitation in the treatment of lateral compression type 1 pelvic fractures in the elderly by Zou, Min, Duan, Xin, Li, Mufan, Ma, Liangyu, Fang, Miao, Sun, Jiachen

    “…Abstract Background Treating lateral compression type 1 (LC1) pelvic ring injuries in older patients is controversial. This study evaluated surgical treatments…”
    Get full text
    Journal Article
  6. 6

    Machine-Learning-Assisted Identification of Steam Channeling after Cyclic Steam Stimulation in Heavy-Oil Reservoirs by Li, Yu, Liu, Huiqing, Jiao, Peng, Wang, Qing, Liu, Dong, Ma, Liangyu, Wang, Zhipeng, Peng, Hao

    Published in Geofluids (26-04-2023)
    “…Cyclic steam stimulation (CSS) is one efficient technology for enhancing heavy-oil recovery. However, after multiple cycles, steam channeling severely limits…”
    Get full text
    Journal Article
  7. 7

    A New Scheme for Essential Protein Identification Based on Uncertain Networks by Liu, Wei, Ma, Liangyu, Chen, Ling, Jeon, Byeungwoo

    Published in IEEE access (2020)
    “…Identifying essential proteins is important for not only understanding cellular activity but also detecting human disease genes. A series of centrality…”
    Get full text
    Journal Article
  8. 8

    Ultra-Short-Term Forecast of Photovoltaic Output Power under Fog and Haze Weather by Liu, Weiliang, Liu, Changliang, Lin, Yongjun, Ma, Liangyu, Xiong, Feng, Li, Jintuo

    Published in Energies (Basel) (28-02-2018)
    “…Fog and haze (F-H) weather has been occurring frequently in China since 2012, which affects the output power of photovoltaic (PV) generation dramatically by…”
    Get full text
    Journal Article
  9. 9

    An optimized nearest prototype classifier for power plant fault diagnosis using hybrid particle swarm optimization algorithm by Wang, Xiaoxia, Ma, Liangyu, Wang, Tao

    “…•A novel nearest prototype classifier is proposed for fault diagnosis.•A constructive approach is employed to determine the number of prototypes.•A hybrid…”
    Get full text
    Journal Article
  10. 10

    Interval Multi-Objective Optimal Scheduling for Redundant Residential Microgrid With VESS by Liu, Weiliang, Liu, Changliang, Lin, Yongjun, Bai, Kang, Ma, Liangyu

    Published in IEEE access (2019)
    “…Optimal scheduling of building microgrid could yield economical savings and reduce the pollutants emission, while ensuring the comfort level of users. A…”
    Get full text
    Journal Article
  11. 11

    Optimal Scheduling of Residential Microgrids Considering Virtual Energy Storage System by Liu, Weiliang, Liu, Changliang, Lin, Yongjun, Ma, Liangyu, Bai, Kang, Wu, Yanqun

    Published in Energies (Basel) (01-04-2018)
    “…The increasingly complex residential microgrids (r-microgrid) consisting of renewable generation, energy storage systems, and residential buildings require a…”
    Get full text
    Journal Article
  12. 12

    Sulfur defect-rich WS2−x nanosheet electrocatalysts for N2 reduction by Ma, Liangyu, Kong, Wenhan, Liu, Mengli, Jin, Zhaoyong, Han, Yaqian, Sun, Jie, Liu, Jie, Xu, Yuanhong, Li, Jinghong

    Published in Science China materials (01-08-2021)
    “…Seeking catalysts with high electrocatalytic activity for ambient-condition N 2 reduction reaction (NRR) remains an ongoing challenge due to the chemical…”
    Get full text
    Journal Article
  13. 13

    Fault early warning of pitch system of wind turbine based on GA-BP neural network model by Chen, Sihan, Ma, Yongguang, Ma, Liangyu

    Published in E3S web of conferences (01-01-2020)
    “…A fault early warning method based on genetic algorithm to optimize the BP neural network for the wind turbine pitch system is proposed. According to the…”
    Get full text
    Journal Article
  14. 14

    An Intelligent Power Plant Fault Diagnostics for Varying Degree of Severity and Loading Conditions by Liangyu Ma, Yongguang Ma, Lee, Kwang Y

    Published in IEEE transactions on energy conversion (01-06-2010)
    “…Practical fault diagnosis of a thermal system is very important in ensuring safe and reliable operation of a power plant. However, it is a difficult task due…”
    Get full text
    Journal Article
  15. 15

    Neural network based load prediction model for an ultra-supercritical turbine power unit by Liangyu, Ma, Lei, Cheng

    Published in 2015 34th Chinese Control Conference (CCC) (01-07-2015)
    “…Widespread implementation of the regional power grid centered automatic generation control (AGC) proposes higher demands on the unit load control precision,…”
    Get full text
    Conference Proceeding Journal Article
  16. 16

    Output power attenuation rate prediction for photovoltaic panels considering dust deposition in hazy weather by Ma Liangyu, Li Jintuo, Ma Rui, Li Jing, Liu Weiliang

    Published in 2017 36th Chinese Control Conference (CCC) (01-07-2017)
    “…Photovoltaic (PV) power prediction is a key technology to improve the control and scheduling performance of PV power plant and ensure safe and stable grid…”
    Get full text
    Conference Proceeding
  17. 17

    Neural network based superheater steam temperature control for a large-scale supercritical boiler unit by Liangyu Ma, Lee, K. Y.

    “…To improve the Superheater Steam Temperature (SST) control of a large-scale supercritical coal-fired boiler generating unit, this paper presents an inverse…”
    Get full text
    Conference Proceeding
  18. 18

    Composited active disturbance rejection control for the coordinated system of supercritical unit by Zhang, Ruiqing, Ma, Yongguang, Ma, Liangyu, Wang, Bingshu

    “…Directing against the nonlinear, variable-parameter, strong-coupling, and large time-delay features of the supercritical boiler-turbine unit, which often…”
    Get full text
    Conference Proceeding
  19. 19

    Superheated steam temperature predictive optimal control based on external time-delay BP neural network and a simpler PSO algorithm by Ma Liangyu, Ge Yinping

    “…Power industry is facing a rapid development toward larger-capacity supercritical and ultra-supercritical coal-fired power generating units. The big inertia,…”
    Get full text
    Conference Proceeding
  20. 20

    Reactivity estimation of nuclear reactor combined with neural network and mechanism model by Jin Ma, Junli Fan, Lixia Lv, Liangyu Ma

    “…The reactivity control is an important mean to ensure the safety operation of a nuclear power plant. But the reactivity of the nuclear reactor usually can not…”
    Get full text
    Conference Proceeding