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个人信息Personal Information
讲师
教师英文名称：LiXin Chen
教师拼音名称：chen lixin
出生日期：1988-06-27
电子邮箱：
入职时间：2024-08-16
所在单位：长春工业大学
职务：教师
学历：博士研究生毕业
性别：女
联系方式：18643600828
学位：工学博士学位
在职信息：在职
毕业院校：吉林大学
- 陈丽新.Construction of heterogeneous interfaces for water activation and dissociation to synergistically boost overall water splitting.ournal of Colloid and Interface Science,2024(665):518-525
- 陈丽新.Continuous synthesis of high-entropy alloy nanoparticles by in-flight alloying of elemental metals.Nature Communications,2024,15(1):1450
- 陈丽新.Unusual Sabatier principle on high entropy alloy catalysts for hydrogen evolution reactions.Nature Communications,2024,15(1):359
- 陈丽新.Structural Self-Regulation-Promoted NO Electroreduction on Single Atoms.Journal of the American Chemical Society,2023,145(48):26249-26256
- Unleashing the charge compensation effect for enhanced electrochemical water-splitting using low-valent magnesium-inserted CoP.International Journal of Hydrogen Energy,2023,48(91):35443-35452
- Intrinsic and external active sites of single-atom catalysts.Iscience,2023,26(7)
- 陈丽新.Work function-tailored nitrogenase-like Fe double-atom catalysts on transition metal dichalcogenides for nitrogen fixation.ACS Sustainable Chemistry & Engineering,2023,11(13):4990-4997
- Co–Pyridinic-N Bond Constructed at the Interface of CoxP and N-Doped Carbon to Effectively Facilitate Oxygen Reduction.ACS Sustainable Chemistry & Engineering,2023,11(13):5238-5249
- 陈丽新.Machine-Learning-Driven High-Entropy Alloy Catalyst Discovery to Circumvent the Scaling Relation for CO2 Reduction Reaction.[J]ACS Catalysis,2022,12(24):14864-14871
- 陈丽新.Se-doped Li 6 PS 5 Cl and Li 5.5 PS 4.5 Cl 1.5 with improved ionic conductivity and interfacial compatibility: a high-throughput DFT study.Journal of Materials Chemistry C,2022,10(48):18294-18302
- 陈丽新.Machine learning-enabled band gap prediction of monolayer transition metal chalcogenide alloys.Physical Chemistry Chemical Physics,2022,24(7):4653-4665
- 陈丽新,High-entropy alloy catalysts: high-throughput and machine learning-driven design.J. Mater. Inform,2022,2(19):10.20517
- 陈丽新.High-throughput and machine-learning accelerated design of high entropy alloy catalysts.Trends in Chemistry,2022
- 陈丽新.Transition-metal-free boron doped SbN monolayer for N2 adsorption and reduction to NH3: A first-principles study.Journal of Colloid and Interface Science,2022(607):1551-1561
- 陈丽新.Eggshell-like MoS2 Nanostructures with Negative Curvature and Stepped Faces for Efficient Hydrogen Evolution Reactions.ACS Applied Nano Materials,2021,4(12):14086-14093