Haitao Zhao Group

Team Leader

Haitao Zhao

Foreign academician of the Academy of Engineering of Ukraine

Doctoral supervisor

Chinese Academy of Sciences Hundred Talents Program expert

World’s Top 2%Scientists 2022 by Standford University

Haitao Zhao, Ph.D. of the University of Nottingham and conducted postdoctoral research at Zhejiang University and the Massachusetts Institute of Technology. In 2021, he served as an associate researcher at Shenzhen Institute of Advanced Technology Chinese Academy of Sciences, and since 2022 he has been a researcher in the Hundred Talents Program of the Chinese Academy of Sciences. In February 2023, he joined Wenzhou Institute of Technology as deputy dean and established the Proof-of-Concept Center for Digital Manufacturing of Energy Materials.

Dr. Zhao devotes for a long time to the interdisciplinary research work such as material genome engineering, robotics, artificial intelligence technology, etc., and is the founder of International Conference on Data Driven Materials Innovation and Carbon Neutrality. He was invited by the world-renowned publishing house Wiley to write a monograph on "Digital Manufacturing of Materials", and was funded by the National Natural Science Foundation of China and published a research paper on digital manufacturing of materials "Nature - Synthesis".

News update

文章列表

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Artificial Intelligence Chemistry / Machine learning and robot-assisted synthesis of diverse gold nanorods via seedless approach/19 November 2023

The challenge of data-driven synthesis of advanced nanomaterials can be minimized by using machine learning algorithms to optimize synthesis parameters and expedite the innovation process. In this ...

Planning chemical syntheses with deep neural networks and symbolic AI

To plan the syntheses of small organic molecules, chemists use retrosynthesis, a problem-solving technique in which target molecules are recursively transformed into increasingly simpler precursors...

Nature Communications | Autonomous optimization of non-aqueousLi-ion battery electrolytes via roboticexperimentation and machine learningcoupling

Developing high energy and efficient battery technologies is a crucial aspect of advancing the electrification of transportation and aviation. However, battery innovations can take years to deliver...

Controlling an organic synthesis robot with machine learning to search for new reactivity

The discovery of chemical reactions is an inherently unpredictable and time consuming process. An attractive alternative is to predict reactivity, although relevant approaches, such as computer-aid...

Nature Communications | Autonomous discovery of optically active chiralinorganic perovskite nanocrystals throughan intelligent cloud lab

We constructed an intelligent cloud lab that integrates lab automation with cloud servers and artificial intelligence (AI) to detect chirality in perovskites. Driven by the materials acceleration ...

Orchestrating autonomous experimentation

ChemOS aims to catalyze the expansion of autonomous laboratories and to disrupt the conventional approach to experimentation.图1. ChemOS是一个多功能的软件包，用于编排自主实验。ChemOS Orchestrating autonomous experiment...

The Automation of Science

The basis of science is the hypothetico-deductive method and the recording of experiments insufficient detail to enable reproducibility. We report the development of Robot Scientist “Adam,”which ad...

Nature Communications | AlphaFlow：autonomous discovery and optimization ofmulti-step chemistry using a self-driven fluidic lab guided by reinforcementlearning

Closed-loop, autonomous experimentationenables accelerated and material efficientexploration of large reaction spaces without the need for user inter[1]vention.However, autonomous exploration of ad...

Science Advances |Autonomous materials synthesis via hierarchical activelearning ofnonequilibrium phase diagrams

Autonomous experimentation enabled byartificial intelligence offers a new paradigm for accelerating scientificdiscovery. Nonequilibrium materials synthesis is emblematic of complex,resource-intensi...

Science | A platform for automated nanomolescale reaction screening andmicromole-scale synthesis in flow

The scarcity of complex intermediates inpharmaceutical research motivates the pursuit of reaction optimizationprotocols on submilligram scales. We report here the development of anautomated flow-ba...

An autonomous portable platform for universachemical synthesis

Robotic systems for synthetic chemistry are becoming more common, but they are expensive, fixed to a narrow set of reactions, and must be used within a complex laboratory environment. A portable sy...

Nature Communications | A droplet microfluidic platform for high-throughputphotochemical reaction discovery

The implementation of continuous flowtechnology is critical towards enhancing the application of photochemicalreactions for industrial process development. However, there are significanttime and re...

Materials Advances | Electrocatalysis enabled transformationof earth-abundant water, nitrogen and carbondioxide for a sustainable future

The integration of electrochemistry with catalyst systems underscores a major sustainable scheme for the production of fossil-free fuels and valuable chemicals. This undertaking necessitates the ne...

A robotic platform for flow synthesisof organic compounds informed by AI planning

The synthesis of complex organic molecules requires several stages, from ideation to execution, that require time and effort investment from expert chemists. Here, we report a step toward a paradig...

Nature Chemistry|A programmable polymer library that enables theconstruction of stimuli-responsive nanocarrierscontaining logic gates

Stimuli-responsive biomaterials that contain logic gates hold great potential for detecting and responding to pathological markers as part of clinical therapies. However, a major barrier is the lac...

Science | Organic synthesis in a modularrobotic system driven by a chemicalprogramming language

The synthesis of complex organic compounds is largely a manual process that is often incompletely documented. To address these shortcomings, we developed an abstraction that maps commonly reported ...

数据驱动能源材料创新研究组博士生、硕士生招生启事

一、研究方向与职位要求钙钛矿材料及其组件数字制造机器人辅助高通量材料合成与表征数字驱动材料创新与碳中和二、招聘招生岗位需求2.1 诺丁汉大学或其他联培博士生岗位（2人）提供在学期间助学金、膳宿津贴等每月4500~6750元；提供中科院“百人计划”支持的青年基金项目30万（科研用途）；学习期间，提供中科院“百人计划”支持的国内外访学交流至少一次（访学基金10万）。获得资助的联培博士生将免除...

数据驱动能源材料创新研究组诚聘博士后

一、研究方向与职位要求钙钛矿材料及其组件数字制造机器人辅助高通量材料合成与表征数字驱动材料创新与碳中和二、招聘招生岗位需求2.1 中科院“百人计划”支持博士后岗位（2人）提供在全国范围内有竞争力的薪酬，博士后年薪税前40万起（含政府补助）；在站期间，提供中科院“百人计划”支持的青年基金项目60万（科研用途）；符合条件的可竞争性申报国家“博新计划”（两年63万元的资助）、博士后国际交流计划...

Data-driven structural descriptor for predicting platinum-based alloys as oxygen reduction electroca

Data-driven structural descriptor for predicting platinum-based alloys as oxygen reduction electrocatalysts（2023-03-10）

About us

International vision and an international platform,core members are composed of personnel from the world's top universities and research institutes, which is a young and energetic research team.

Competitive,the core members of the team have published more than 100 papers in international famous journals such as Nature Synthesis, PNAS, Advanced Materials, Materials Today, etc. Besides, it has undertaken competitive projects at all levels, such as the National Natural Science Foundation of China, the Guangdong Provincial Natural Science Foundation, and the Shenzhen Technology Research Project.

Moreover,the research group has built a fully automated material digital manufacturing laboratory with complete material synthesis, device assembly, performance testing and various in-situ (electron microscopy) characterization material analysis platforms. Finally, we sincerely welcome those who are interested to join!

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We recruit master,doctoral students,and postdoctoral fellows for a long time. We sincerely welcome those who are interested to join!