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路貴民
發(fā)布時(shí)間:2014-09-10   訪(fǎng)問(wèn)次數(shù):19788


路貴民,男,1965年生,黑龍江綏化人。華東理工大學(xué)二級(jí)教授。                        

主要研究方向:

熔鹽化學(xué)與電化學(xué)                               

新能源材料設(shè)計(jì)與制備

第一性原理分子動(dòng)力學(xué)模擬

主講課程:                                                   

冶金資源與循環(huán)(博士生),固體物理(碩士生),礦產(chǎn)資源概論(本科生)

主要榮譽(yù)與社會(huì)兼職:

教育部新世紀(jì)優(yōu)秀人才,青海省高端人才計(jì)劃領(lǐng)軍人才,江西省雙千計(jì)劃首席技術(shù)專(zhuān)家

中國(guó)有色金屬學(xué)會(huì)熔鹽化學(xué)與技術(shù)委員會(huì)副主任委員,中國(guó)無(wú)機(jī)鹽協(xié)會(huì)熔鹽專(zhuān)業(yè)委員會(huì)副主任委員,中國(guó)汽車(chē)工程學(xué)會(huì)材料分會(huì)委員

主持科研項(xiàng)目及成果:

主持包括國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目2項(xiàng)、金面上項(xiàng)目6項(xiàng)、國(guó)家863計(jì)劃項(xiàng)目3項(xiàng)、以及國(guó)家重點(diǎn)研發(fā)計(jì)劃課題、國(guó)家973計(jì)劃課題、省級(jí)重大科技專(zhuān)項(xiàng)、企業(yè)合作項(xiàng)目等課題20余項(xiàng)。發(fā)表SCI論文150余篇,獲發(fā)明專(zhuān)利授權(quán)30余件。培養(yǎng)博士、碩士研究生100余名,獲國(guó)家科技進(jìn)步二等獎(jiǎng)1項(xiàng)、省部級(jí)科技一等獎(jiǎng)2項(xiàng)

近五年發(fā)表的代表性論文:

[1] Guo D, Zhao J, Liang W, et al. Molecular dynamics simulation of molten strontium chloride based on deep potential[J]. Journal of Molecular Liquids, 2022, 348: 118380.

[2] Zhao J, Liu Z, Liang W, et al. Evaluation of the local structure and electrochemical behavior in the LiCl-KCl-SmCl3 melt[J]. Journal of Molecular Liquids, 2022, 363: 119818.

[3] Feng T, Yang B, Lu G. Investigation on the local structure and properties of molten Li2CO3-K2CO3 binary salts by machine learning potentials[J]. Journal of Molecular Liquids, 2022, 356: 118979.

[4] Liang W, Lu G, Yu J. Machine Learning Accelerates Molten Salt Simulations: Thermal Conductivity of MgCl2NaCl Eutectic[J]. Advanced Theory and Simulations, 2022, 5(8): 2200206.

[5] Zhao J, Wang Y, Lu G. Investigation of the Redox Potential of Lithium and Its Dissolution in the LiCl-KCl Eutectic[J]. Journal of The Electrochemical Society, 2022, 169(5): 056517.

[6] Bu M, Liang W, Lu G. Molecular dynamics simulations on AlCl3-LiCl molten salt with deep learning potential[J]. Computational Materials Science, 2022, 210: 111494.

[7] Feng T, Zhao J, Liang W, et al. Molecular dynamics simulations of lanthanum chloride by deep learning potential[J]. Computational Materials Science, 2022, 210: 111014.

[8] Liang W, Lu G, Yu J. Machine-learning-driven simulations on microstructure and thermophysical properties of MgCl2-KCl eutectic[J]. ACS Applied Materials & Interfaces, 2021, 13(3): 4034-4042.

[9] Liang W, Lu G, Yu J. Theoretical prediction on the local structure and transport properties of molten alkali chlorides by deep potentials[J]. Journal of Materials Science & Technology, 2021, 75: 78-85.

[10] Liu Z, Lu G, Yu J. Investigation on electrochemical behaviors of Ni (II) impurity in LiCl-KCl melt[J]. Separation and Purification Technology, 2021, 268: 118354.

[11] Bu M, Liang W, Lu G, et al. Local structure elucidation and properties prediction on KCl-CaCl2 molten salt: a deep potential molecular dynamics study[J]. Solar Energy Materials and Solar Cells, 2021, 232: 111346.

[12] Liu Z, Lu G, Yu J. Investigation on electrochemical behaviors of MgCl2 impurity in LiCl-KCl melt[J]. Journal of Electroanalytical Chemistry, 2021, 886: 115131.

[13] Liang W, Lu G, Yu J. Molecular dynamics simulations of molten magnesium chloride using machinelearningbased deep potential[J]. Advanced Theory and Simulations, 2020, 3(12): 2000180.

[14] Liang W, Wu J, Ni H, et al. First-principles molecular dynamics simulations on the local structure and thermo-kinetic properties of molten magnesium chloride[J]. Journal of Molecular Liquids, 2020, 298: 112063.

[15] Liang W, Lu G, Yu J. Composition-dependent microstructure evolution in liquid MgCl2-KCl: A first-principles molecular dynamics study[J]. Journal of Molecular Liquids, 2020, 309: 113131.

[16] Ni H, Wu J, Sun Z, et al. Insight into the viscosity enhancement ability of Ca (NO3) 2 on the binary molten nitrate salt: A molecular dynamics simulation study[J]. Chemical Engineering Journal, 2019, 377: 120029.

[17] Ni H, Wu J, Sun Z, et al. Molecular simulation of the structure and physical properties of alkali nitrate salts for thermal energy storage[J]. Renewable energy, 2019, 136: 955-967.

[18] Wu J, Ni H, Liang W, et al. Molecular dynamics simulation on local structure and thermodynamic properties of molten ternary chlorides systems for thermal energy storage[J]. Computational Materials Science, 2019, 170: 109051.

[19] Liu Z, Lu G, Yu J. Electrochemical behavior of magnesium ions in chloride melt[J]. Ionics, 2019, 25(6): 2719-2727.

[20] Wu J, Wang J, Ni H, et al. The influence of NaCl concentration on the (LiCl-KCl) eutectic system and temperature dependence of the ternary system[J]. Journal of Molecular Liquids, 2018, 253: 96-112.



網(wǎng)頁(yè)發(fā)布時(shí)間: 2014-09-10
 
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