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W.; Hong, Q.-L.; Ai, X.; C.; Zhang, C.; Li, F.* ; Li, X.; Chen, Y.*, RhNi bimetallenes with lattice-compressed Rh skin towards ultrastable acidic nitrate electroreduction. Adv. Mater. 2024, 36 , 2314351. (IF: 27.4, ESI高被引论文)；Huang, L.; Niu, H.; Xia, C.; Li, F.* ; Shahid, Z.; Xia, B. Y.*. Integration construction of hybrid electrocatalysts for oxygen reduction. Adv. Mater. 2024, 36 , 2404773. (IF: 27.4)；Sun, B.; Zhong, W.; Ai, X.; Zhang, C.; Li, F.* ; Chen, Y.*, Engineering low-coordination atoms on RhPt bimetallene for 12-electron ethanol electrooxidation. Energy Environ. Sci. 2024, 17 , 2219-2227. (IF: 32.4, ESI高被引论文)；Fang, W.; Lu, R.; Li, F.* ; Wu, D.; Yue, K.; He, C.; Mao, Y.; Guo, W.; You, B.; Song, F.; Yao, Tao.; Wang, Z.*; Xia, B. Y.*, Low-coordination nanocrystalline copper-based catalysts through theory-guided electrochemical restructuring for selective CO 2 reduction to ethylene. Angew. Chem. Int. Ed. 2024, 63 , e202319936. (IF: 16.1)；Hong, Q.-L.; Sun, B.; Ai, X.; Tian, X.-L.; Li, F.* ; Chen, Y.*, Au nanocrystals modified holey PtTeAu metallene heteronanostructures for plasmon-enhanced nitrate electroreduction. Adv. Funct. Mater . 2024, 34 , 2310730. (IF: 18.5)；Hong, Q.-L.; Zhao, Y.; Ai, X.; Ding, Y.; Li, F.* ; Chen, P.; Jin, P.-J.; Chen, Y.*, Ultrathin RhCu bimetallenes for the selective electro-oxidation of glycerol. Chem. Eng. J. 2024, 482 , 148960. (IF: 13.3)；Miao, B.-Q.; Yuan Z.-H.; Hong, Q.-L.; Ai, X.*; Li, F.* ; Chen, P.; Jin, P.; Chen, Y.*, The d-p orbital hybridization engineered RhPb bimetallene for efficient ethanol electrooxidation, Sci. China Chem.‌‌ 2024. DOI: 10.1007\u002Fs11426-024-2330-y (IF: 10.4)；2023；Miao, B.-Q.; Sun, B.; Wang, T.-J.; Shi, F.; Chen, P.; Jin, P.; Li, D.; Li, F.* ; Chen, Y.*, Efficient promotion of ethanol complete electrooxidation by anti-poisoning rhodium-bismuth alloy nanodendrites. Appl. Catal. B-Environ. 2023, 337 , 122967. (IF: 20.2)；Sun, B.; Jiang, Y.-C.; Hong, Q.-L.; Liu, X.; Li, F.* ; Li, D.-S.; Yang, Y.*; Chen, Y.*. Pt-Te alloy nanowires towards formic acid electrooxidation reaction. J. Energy Chem. 2023, 85 , 481-489. (IF: 14.0)；Xue, Q.; Wang, Z.; Ding, Y.; Li, F. * ; Chen, Y*. Chemical functionalized noble metal nanocrystals for electrocatalysis. Chinese J. Catal. 2023, 45 , 6-16. (IF: 15.7, ESI高被引论文)；Hong, Q.-L.; Miao, B.-Q.; Wang, T.-J.; Li, F.* ; Chen, Y.*, Intermetallic PtTe metallene for formic acid oxidation assisted electrocatalytic nitrate reduction. Energy Lab 2023, 1 , 220022.；2022；Ge, Z.-X.; Wang, T.-J.; Ding, Y.; Yin, S.; Li, F.* ; Chen, P.; Chen, Y.*, Interfacial engineering enhances the electroactivity of frame-like concave RhCu bimetallic nanocubes for nitrate reduction. Adv. Energy Mater . 2022, 12 , 2103916. (IF: 24.4, ESI高被引论文)；Wang, T.-J.; Fang, W.-S; Liu, Y.-M; Chen, P.*; Li, F. * ; Chen, Y.*, Heterostructured Pd\u002FPdO nanowires for selective and efficient CO 2 electroreduction to CO. J. Energy Chem. 2022, 70 , 407-413. (IF: 14.0, ESI高被引论文)；Xue, Q.; Bai, X.-Y.; Zhao, Y.; Li, Y.-N.; Wang, T.-J.; Sun, H.-Y.; Li, F.* ; Chen, P.; Jin, P.; Yin, S.-B.; Chen, Y.*, Au core-PtAu alloy shell nanowires for formic acid electrolysis. J. Energy Chem. 2022, 65 , 94-102. (IF: 14.0, ESI高被引论文)；Jiang, Y.-C.; Ding, Y.; Li, F.* ; Yin, S.; Li, D.-S.; Li, X.; Chen, Y.*, Ultrafine Pd@PdPt nanowires with a single-atom alloy shell for efficient formate oxidation. J. Mater. Chem. A 2022, 10 , 24701-24707. (IF: 10.7)；Sun, B.; Wang, Z.; Yuan, Z.-H.; Ding, Y.; Li, F.* ; Zhao, G.-T.; Li, D.-S.; Li, X.-F.; Chen, Y.*, Ultrathin rhodium nanosheet-gold nanowire nanocomposites for alkaline methanol oxidation reaction. Chem. Commun. 2022, 58 , 11139-11142. (IF: 4.3)；2018-2021；Xue, Q.; Zhao, Y.; Zhu, J.; Ding, Y.; Wang, T.; Sun, H.; Li, F.* ; Chen, P.; Jin, P.; Yin, S.; Chen, Y.*, PtRu nanocubes as bifunctional electrocatalysts for ammonia electrolysis. J. Mater. Chem. A 2021, 9 , 8444-8451. (IF: 10.7)；Sun, H. Y.; Ding, Y.; Yue, Y. Q.; Xue, Q.; Li, F.* ; Jiang, J. X.; Chen, P.; Chen, Y.*, Bifunctional palladium hydride nanodendrite electrocatalysts for hydrogen evolution integrated with formate oxidation. ACS Appl. Mater. Interfaces 2021, 13 , 13149-13157. (IF: 8.3)；Wang, T.-J.; Xu, G.-R.; Sun, H.-Y.; Huang, H.; Li, F.* ; Chen, P.; Chen, Y.*, Anodic hydrazine electrooxidation boosted overall water electrolysis by bifunctional porous nickel phosphide nanotubes on nickel foam. Nanoscale 2020, 12 , 11526-11535. (IF: 5.8)；Zhu, J.-Y.; Chen, S.; Xue, Q.; Li, F.* ; Yao, H.-C.; Xu, L.*; Chen, Y.*, Hierarchical porous Rh nanosheets for methanol oxidation reaction. Appl. Catal. B-Environ. 2019, 264 , 118520. (IF: 20.2)；Wang, T.-J.; Huang, H.; Wu, X.-R.; Yao, H.-C.; Li, F.* ; Chen, P.; Jin, P.-J.; Deng, Z.-W.; Chen, Y.*, Self-template synthesis of defect-rich NiO nanotubes as efficient electrocatalysts for methanol oxidation reaction. Nanoscale 2019, 11 , 19783-19790. (IF: 5.8)；Zhao, Y.; Ding, Y.; Qiao, B.; Zheng, K.; Liu, P.; Li, F. * ; Li, S.; Chen, Y.*, Interfacial proton enrichment enhances proton-coupled electrocatalytic reactions. J. Mater. Chem. A 2018, 6 , 17771-17777. (IF: 10.7)；Xue, Q.; Ding, Y.; Xue, Y.; Li, F. * ; Chen, P.; Chen, Y.*, 3D nitrogen-doped graphene aerogels as efficient electrocatalyst for the oxygen reduction reaction. Carbon 2018, 139 , 137-144. (IF: 10.5)；Xiao, X.; Wang, T.; Bai, J.; Li, F. * ; Ma, T.*; Chen, Y.*, Enhancing the selectivity of H 2 O 2 electrogeneration by steric hindrance effect. ACS Appl. Mater. Interfaces 2018, 10 , 42534-42541. (IF: 8.3)","【产业方向】新材料",67,"https:\u002F\u002Fgr.xjtu.edu.cn\u002Flifumin\u002Fzh_CN\u002Findex.htm",[428,431,434,437,440,443],{"code":429,"name":430},"GB-38","电气机械和器材制造业",{"code":432,"name":433},"GB-73","研究和试验发展",{"code":435,"name":436},"SEI-03","新材料产业",{"code":438,"name":439},"CH-03","氢能与核聚变能",{"code":441,"name":442},"CH-13","新材料",{"code":444,"name":445},"CH-28","交通",[430,433,436,439,442,445],{"id":448,"name":449,"orgName":450,"school":450,"gender":10,"title":451,"degree":10,"honor":10,"position":10,"researchDirection":452,"intro":453,"province":454,"completeness":425,"avatarAuthorized":396,"sourceUrl":455,"nameValid":398,"tags":456,"tagNames":487},"ec06724f-7160-4bae-aedc-016f031debec","罗震林","中国科学技术大学","研究员","[1] 同步辐射衍射及其应用（招博士\u002F联合培养博士）；[1] 同步辐射衍射及其应用（招博士\u002F联合培养博士）；[2] 同步辐射成像及其应用（招博士\u002F联合培养博士）；[2] 同步辐射成像及其应用（招博士\u002F联合培养博士）；[3] 功能薄膜材料与器件；[3] 功能薄膜材料与器件；团队名称：Mas&Mag；团队介绍：团队聚焦材料微结构研究，主要依托和运用先进的同步辐射实验技术，如衍射和谱学成像技术，开展功能材料微观结构的深入研究。 个人介绍：罗震林，博导、合肥先进光源项目研究员，美国阿贡国家实验室访问学者 读万卷书，行万里路！ 我是一个对美好事物充满好奇心的人，不管是有趣的科学还是美好的山川； 过去10年，我课题组主要专注于同步辐射先进材料结构表征技术的发展，与国内外多个课题组形成良好合作，开展系列重要研究并取得了一些成果，在Science，NatureCommunications等期刊发表论文100余篇。最近四年，在合肥先进光源HALF的召唤下，我课题组也开始研究同时具有高空间分辨\u002F高化学分辨能力的同步辐射相干衍射成像\u002F谱学成像技术，这种技术是未来第四代同步辐射光源的杀手锏技术之一，会有很多重要而有趣的应用。 欢迎志同道合的朋友加入我们，一路同行！ 研究项目： 1）合肥先进光源工程 软X射线显微谱学相干成像线站(负责人)；2023.6-2028.10 2）量子计量预研课题 同步辐射高精度晶格比较器(负责人)；2025.1-2026.12 3）国家重点研发计划项目 关联体系量子物态的结构调控(子课题负责)；2023.12-2028.11； 4）国家重点研发计划项目 功能薄膜材料微结构的原位同步辐射表征方法及其在卫星、 6G 高温超导微波通信器件中的应(子课题负责)；2022.12-2027.11； 5）国家基金委面上项目 同步辐射三维衍射技术及其在复杂外延薄膜体系结构物性关系研究中的应用；2022.1-2025.12； 6）国家重点研发计划项目 多重量子序关联和竞争下的多铁性磁电效应与多态超低功耗器件(子课题负责人)；2016.6-2021.6； 7）国家基金委面上项目 表界面原子结构的同步辐射衍射表征技术及其应；2017.1-2020.12； 8）国家基金委面上项目 钙钛矿氧化物的氧八面体旋转与物性关系的原位应变调控；2014.1-2017.12； ..... 近期论文 2025年： 1. Nature Materials, doi: 10.1038\u002Fs41563-025-02354-z 2. Nature communications , doi:10.1038\u002Fs41467-025-62610-3, (2025) 3. Nature communications , 16，4263 (2025) 4. ACS Nano 19, 13479 5. APL, 127, 082601 6. APL. 126, doi: 10.1063\u002F5.0253998。 7. Scientific Reports, (2025), doi: \u002F10.1038\u002Fs41598-025-01310-w。 2024年： 1. Science， 383, 388–394 (2024) 2. CJCP， DOI: 10.1063\u002F1674-0068\u002Fcjcp2402017 （2024） 2023年： 1. Science, 379, 1218-1224; 2. Science， 382, 1265-1269; 3. APL, 123, 071901; 4. APL, 123, 251902; 2022年： 1. Soft Matter, 18, 7486 2. Inorganic Chemistry Frontiers, 9, 3453 3. Advanced Materials, 34, 2108419 4. Small, 18, 2104213； 5. Nano Today, 46, 101605； 6. J. American Ceramic Society, 105, 7558； 7. ACS AMI, 14, 52117； 8. J. Physics D., 55,195003； 9. Frontiers in Materials, 9, 956349； 2021年： 1. Phys.Rev.Lett. 127, 117204 2. Nature Communications 12,4620 3． Adv.Funct.Mater.DOI:10.1002\u002Fadfm.202009376； 4． Nano Letters, 21, 144； 5． ACS Appl.Mter.Interfaces, 13, 13419； 6． Matter, 4, 1-12； 7. Physical Review B, 103, 174102； 2020年： 1． Nature Physics, 16(6),631； 2. Science Advances, 6(34),eaba5847； 3． Advanced Materials, 32(50),2004477； 4． Advanced Functional Materials,30,2003495； 5． Physical Review B, 101, 014422； 6． Physical Review B, 101, 214401； 2019年： 1. Science, 366, 475； 2. NATURE COMMUNICATIONS, 10, 5129； 3. ADVANCED MATERIALS INTERFACES, 1900644； 4. APPLIED PHYSICS LETTERS 114,242901； 5. AIP ADVANCES 9,025114； 6. Chinese Physics B 28，056103； 7. CPL 36，078101； 8. J.Phy.Chem.Lett. 10, 1355； 9. 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Probabilistic prediction of uniaxial compressive strength for rocks from sparse data using Bayesian Gaussian process regression with Synthetic Minority Oversampling Technique (SMOTE). Computers and Geotechnics , 2024, 165: 105850. DOI: 10.1016\u002Fj.compgeo.2023.105850 Song Chao , Peng Hongzhen, Xu Ling , Zhao Tengyuan *, Guo Zhiqian, Chen Wenwu. Probabilistic evaluation of cultural soil heritage hazards in China from extremely imbalanced site investigation data using SMOTE-Gaussian process classification. Journal of Cultural Heritage , 2024, 67: 121-133. DOI: 10.1016\u002Fj.culher.2024.02.014 Song Chao , Zhao Tengyuan *, Xu Ling . Physics-informed explainable AI and SMOTE-GPC for the classification of surrounding rock mass in tunneling. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering , 2025, 11(2): 04025021. DOI: 10.1061\u002FAJRUA6.RUENG-1519 Song Chao , Zhao Tengyuan *, Xu Ling . Probabilistic classification of surrounding rock mass of tunnels based on fully Bayesian Gaussian process classification (fB-GPC) with consideration of influencing factors selection. Geological Journal , 2024, 59(9): 2442-2458. DOI: 10.1002\u002Fgj.4925 Zhao Tengyuan , Song Chao , Lu Shifeng, Xu Ling *. Prediction of uniaxial compressive strength using fully Bayesian Gaussian process regression (fB-GPR) with model class selection. Rock Mechanics and Rock Engineering , 2022, 55(10): 6301-6319. DOI: 10.1007\u002Fs00603-022-02964-y Zhao Tengyuan , Song Chao , Xu Ling *, Huang Xiaolin . Bayesian selection of the optimal composite kernels for probabilistic estimation of UCS with explicit consideration of measurement errors and the anisotropic characteristic of input features. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards , 2025. DOI : 10.1080\u002F17499518.2025.2491847 Song Chao *, Zhao Tengyuan . Uncertainty quantification in predicting UCS using fully Bayesian Gaussian process regression with consideration of model class selection. In: Geo-risk 2023 , Arlington, Virginia, 23-26 July, 2023, pp 9-19. 宋超 , 赵腾远, 高重阳. 基于机器学习的黄土关键力学参数概率预测统一框架体系. 地球科学 , 2024. 宋超 , 赵腾远*, 许领. 基于贝叶斯高斯过程回归与模型选择的岩石单轴抗压强度估计方法. 岩土工程学报 , 2023, 45(08): 1664-1673. DOI：10.11779\u002FCJGE20220734 赵腾远, 宋超 , 何欢*. 小样本条件下江苏软土路基回弹模量的贝叶斯估计——基于静力触探数据与高斯过程回归的建模分析. 岩土工程学报 , 2021, 43(S2): 137-141. DOI：10.11779\u002FCJGE2021S2033 宋超 , 赵腾远*. 粘土路基回弹模量预测及贝叶斯模型选择研究. 长沙理工大学学报（自然科学版） , 2024, 21(01): 1-12. DOI: 10.19951\u002Fj.cnki.1672-9331.20231201001 赵腾远, 宋超 , 谌文武, 郭志谦, 许领*. 基于k-means聚类与高斯过程分类的土遗址裂隙病害发育等级概率预测. 石窟与土遗址保护研究 , 2023, 2(04): 75-86. 朱文清, 赵腾远*, 宋超 , 王宇, 许领. 基于吉布斯采样与压缩感知的二维非平稳CPT数据快速插值方法. 土木与环境工程学报(中英文) , 2022, 44(05): 98-108. 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