070304-物理化学
085600-材料与化工

1. 功能材料自动化制备技术； 2. 数据驱动功能材料筛选技术；3. 材料界面与量子化学计算；4. 材料基因数据库与机器学习

2012-01--2015-10   诺丁汉大学   博士学位
2010-09--2011-12   诺丁汉大学   硕士学位
2006-09--2010-07   南昌大学   本科学位

   

2020-08~现在, 中国科学院深圳先进技术研究院, 副研究员
2019-09~2020-09,麻省理工学院, 博士后
2016-05~2019-09,浙江大学, 博士后

2021-11-01-2024-11-01,深圳标准专家库第四批专家,
2021-07-01-2023-07-31,深圳市机器人青年专家委员会青年专家委员,
2021-04-27-2024-04-27,粤港澳大湾区标准创新联盟咨询委员会委员,
2021-04-01-2022-04-01,InfoMat, 青年编委
2017-09-11-2018-09-10,澳大利亚联邦科学与工业研究组织访问学者,
2017-09-01-2022-09-01,浙江省工程热物理学会理事,
2016-11-30-今,英国皇家化学会会员,

功能材料前沿

   

（1） 浙江省科技发明三等奖, 三等奖, 省级, 2020
（2） 浙江省科学技术进步奖, 三等奖, 省级, 2020

[1] 赵海涛, 喻学锋, 康翼鸿, 黄逸凡. 一种高通量超声辅助超临界复合纳米材料制备装置. CN: CN215693906U, 2022-02-01.
[2] 赵海涛, 喻学锋, 陈薇, 陈子健, 张雪. 机器人辅助数字化可控合成纳米晶体形貌的方法. CN202111468728, 2021-12-03.
[3] 赵海涛, 喻学锋, 陈薇, 陈子健, 张雪. 纳米晶体材料数学模型、数据库和AI算法全流程的可编程理性设计方法. CN202111468080, 2021-12-03.
[4] 喻学锋, 赵海涛, 陈薇、, 陈子健, 张雪. 机器人辅助纳米晶自动表征加速材料的智能化逆向设计. CN202111470545, 2021-12-03.
[5] 赵海涛, 喻学锋, 康翼鸿, 王佳宏. 功能材料自动化制备平台. CN: CN214224948U, 2021-09-17.
[6] 赵海涛, 喻学锋, 李龙, 何睿. 数字化功能材料自动化智能合成岛. CN: CN214174121U, 2021-09-10.
[7] 赵海涛, 喻学锋, 康翼鸿. 柔性与印刷电子墨水和器件全自动高通量制备装置. CN: CN112808167A, 2021-05-18.
[8] 赵海涛, 喻学锋, 王本正, 康翼鸿, 李龙, 何睿. 功能材料数字化设计、制备与评价自动化平台. CN: CN112697706A, 2021-04-23.
[9] 喻学锋, 赵海涛, 康翼鸿, 黄逸凡. 超声辅助超临界流体制备石墨烯复合材料的自动化装置. CN: CN112607728A, 2021-04-06.
[10] 赵海涛, 喻学锋, 康翼鸿, 王佳宏. 基于人工智能的自动化功能材料生物化学合成工作站. CN: CN112461822A, 2021-03-09.

   

[1] Lixiang Xing, Zijian Chen, Wei Chen, Paul K Chu, XueFeng Yu, Haitao Zhao. Robotic platform for accelerating the high-throughput study of silver nanocrystals in sensitive/selective Hg2+ detection. CHEMICAL ENGINEERING JOURNAL. 2023, 466: http://dx.doi.org/10.1016/j.cej.2023.143225.
[2] Wang, Yuejiao, Adam, Mukhtar Lawan, Zhao, Yunlong, Zheng, Weihao, Gao, Libo, Yin, Zongyou, Zhao, Haitao. Machine Learning-Enhanced Flexible Mechanical Sensing. NANO-MICRO LETTERS[J]. 2023, 15(1): http://dx.doi.org/10.1007/s40820-023-01013-9.
[3] 赵海涛. A robotic platform for the synthesis of colloidal nanocrystals. NATURE SYNTHESIS[J]. 2023, [4] Nasir Uddin, Zhehao Sun, Julien Langley, Haijao Lu, Pengfei Cao, Ary Wibowo, Xinmao Yin, Chi Sin Tang, Hieu T Nguyen, Jack D Evans, Xinzhe Li, Xiaoliang Zhang, Marc Heggen, Rafal E DuninBorkowski, Andrew T S Wee, Haitao Zhao, Nicholas Cox, Zongyou Yin. Ultrabroadband plasmon driving selective photoreforming of methanol under ambient conditions. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA[J]. 2023, 120(3): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934055/.
[5] Zhang, Xue, Wang, Zhuo, Lawan, Adam Mukhtar, Wang, Jiahong, Pang, Cheng Heng, Chu, Paul K, Yu, XueFeng, Zhao, Haitao. Data-driven structural descriptor for predicting platinum-based alloys as oxygen reduction electrocatalysts. INFOMAT[J]. 2023, 5(6): http://dx.doi.org/10.1002/inf2.12406.
[6] Zhenming Xu, Huiyu Duan, Zhi Dou, Mingbo Zheng, Yixi Lin, Yinghui Xia, Haitao Zhao, Yongyao Xia. Machine learning molecular dynamics simulation identifying weakly negative effect of polyanion rotation on Li-ion migration. NPJ COMPUTATIONAL MATERIALS[J]. 2023, 9(1): 1-11, https://doaj.org/article/720ac244b62b4a0295d4a734c53b2bc9.
[7] Wang, Zhuo, Sun, Zhehao, Yin, Hang, Liu, Xinghui, Wang, Jinlan, Zhao, Haitao, Pang, Cheng Heng, Wu, Tao, Li, Shuzhou, Yin, Zongyou, Yu, XueFeng. Data-Driven Materials Innovation and Applications. ADVANCED MATERIALSnull. 2022, 34(36): http://dx.doi.org/10.1002/adma.202104113.
[8] Wang, Linjuan, Saji, Sandra Elizabeth, Wu, Lingjun, Wang, Zixuan, Chen, Zijian, Du, Yaping, Yu, Xuefeng, Zhao, Haitao, Yin, Zongyou. Emerging Synthesis Strategies of 2D MOFs for Electrical Devices and Integrated Circuits. SMALLnull. 2022, 18(33): http://dx.doi.org/10.1002/smll.202201642.
[9] Lu, Peilong, Tan, Xin, Zhao, Haitao, Xiang, Qian, Liu, Kaili, Zhao, Xiaoxu, Yin, Xinmao, Li, Xinzhe, Hai, Xiao, Xi, Shibo, Wee, Andrew T S, Pennycook, Stephen J, Yu, Xuefeng, Yuan, Menglei, Wu, Jianbo, Zhang, Guangjin, Smith, Sean C, Yin, Zongyou. Atomically Dispersed Indium Sites for Selective CO2 Electroreduction to Formic Acid. ACS NANO[J]. 2021, 15(3): 5671-5678, http://dx.doi.org/10.1021/acsnano.1c00858.
[10] Wang, Fengyi, Zhang, Longcheng, Wang, Ting, Zhang, Fang, Liu, Qian, Zhao, Haitao, Zheng, Baozhan, Du, Juan, Sun, Xuping. In Situ Derived Bi Nanoparticles Confined in Carbon Rods as an Efficient Electrocatalyst for Ambient N-2 Reduction to NH3. INORGANIC CHEMISTRY[J]. 2021, 60(10): 7584-7589, http://dx.doi.org/10.1021/acs.inorgchem.1c01130.
[11] Lai, Fuming, Sun, Zhehao, Saji, Sandra Elizabeth, He, Yichuan, Yu, Xuefeng, Zhao, Haitao, Guo, Haibo, Yin, Zongyou. Machine Learning-Aided Crystal Facet Rational Design with Ionic Liquid Controllable Synthesis. SMALL[J]. 2021, 17(12): http://dx.doi.org/10.1002/smll.202100024.
[12] Cao, Pengfei, Zhao, Haitao, Adegbite, Stephen, Yang, Bolun, Lester, Edward, Wu, Tao. Stabilized CO2 reforming of CH4 on modified Ni/Al2O3 catalysts via in-situ K2CO3-enabled dynamic coke elimination reaction. FUEL[J]. 2021, 298: http://dx.doi.org/10.1016/j.fuel.2021.120599.
[13] Yin, Hang, Xing, Kaijian, Zhang, Yurou, Dissanayake, D M Aradhana S, Lu, Ziyang, Zhao, Haitao, Zeng, Zhiyuan, Yun, JungHo, Qi, DongChen, Yin, Zongyou. Periodic nanostructures: preparation, properties and applications. CHEMICAL SOCIETY REVIEWSnull. 2021, 50(11): 6423-6482, http://dx.doi.org/10.1039/d0cs01146k.
[14] Zhang, Xue, Li, Fanghua, Wang, Jiahong, Zhao, Haitao, Yu, XueFeng. Strategy for improving the activity and selectivity of CO2 electroreduction on flexible carbon materials for carbon neutral. APPLIED ENERGY[J]. 2021, 298: http://dx.doi.org/10.1016/j.apenergy.2021.117196.
[15] Jiang, Yingying, Zhao, Haitao, Liang, Jie, Yue, Luochao, Li, Tingshuai, Luo, Yonglan, Liu, Qian, Lu, Siyu, Asiri, Abdullah M, Gong, Zhengjun, Sun, Xuping. Anodic oxidation for the degradation of organic pollutants: Anode materials, operating conditions and mechanisms. A mini review. ELECTROCHEMISTRY COMMUNICATIONS[J]. 2021, 123: http://dx.doi.org/10.1016/j.elecom.2020.106912.
[16] Zhang, Xue, Zhao, Haitao, Chu, Paul K, Wang, Jiahong, Yu, XueFeng. Subsurface intercalation activating basal plane of black phosphorus for nitrogen reduction. JOURNAL OF ENERGY CHEMISTRYnull. 2021, 60(9): 293-299, https://www.sciengine.com/doi/10.1016/j.jechem.2021.01.010.
[17] Wang, Fengyi, Zhao, Haitao, Liang, Jie, Li, Tingshuai, Luo, Yongsong, Lu, Siyu, Shi, Xifeng, Zheng, Baozhan, Du, Juan, Sun, Xuping. Magnetron sputtering enabled synthesis of nanostructured materials for electrochemical energy storage. JOURNAL OF MATERIALS CHEMISTRY Anull. 2020, 8(39): 20260-20285, https://www.webofscience.com/wos/woscc/full-record/WOS:000578872600002.
[18] LingJun WU, ZhenMing XU, ZiXuan WANG, ZiJian CHEN, ZhiChao HUANG, Chao PENG, XiangDong PEI, XiangGuo LI, Jonathan P MAILOA, ChangYu HSIEH, Tao WU, XueFeng YU, HaiTao ZHAO. Machine learning accelerated carbon neutrality research using big data—from predictive models to interatomic potentials. SCIENCE CHINA TECHNOLOGICAL SCIENCES. 65: https://www.sciengine.com/doi/10.1007/s11431-022-2095-7.
[19] Zhuo Wang, Zhehao Sun, Hang Yin, Honghe Wei, Zicong Peng, Yoong Xin Pang, Guohua Jia, Haitao Zhao, Cheng Heng Pang, Zongyou Yin. The role of machine learning in carbon neutrality: catalyst property prediction, design, and synthesis for carbon dioxide reduction. ESCIENCE. http://dx.doi.org/10.1016/j.esci.2023.100136.

   

（ 1 ） 中科院深圳先进技术研究院优秀青年基金：功能材料与AI技术, 负责人, 研究所自主部署, 2020-10--2022-10
（ 2 ） 深圳香港合作项目：基于超声辅助超临界流体石墨烯复合材料的柔性电子器件研发, 负责人, 地方任务, 2021-07--2022-07
（ 3 ） 瑞典跨国企业横向项目：工业数字化技术联合实验室, 负责人, 境内委托项目, 2021-07--2023-07
（ 4 ） 深圳市博后引进基金：数据驱动材料筛选, 负责人, 地方任务, 2020-09--2023-09

（1）A perspective on the applications of energy-cyber-physical systems (e-CPSs) in ultra-low emission coal-fired power plants   2018-08-22
（2）Adopting Big Data to Accelerate Discovery of 2D TMDCs Materials via CVR Method for the Potential Application in Urban Airborne Hg0 Sensor   2018-07-05
（3）Recovery of Elemental Mercury from Coal-derived Flue Gas using a MoS2-based Material   2017-08-21

现指导学生

袁心如  硕士研究生  085600-材料与化工  

张新宇  硕士研究生  070300-化学