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Intelligent Precision Synthesis Laboratory for Low-Dimensional Materials

Dedicated to intelligent precision synthesis, advanced integration, and physicochemical property research of low-dimensional materials

Towards semiconductor, quantum, resource, energy, sustainability ...

Nature+
Top Journal Publications
AI+
Intelligent Synthesis
2025
Lab Established

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Precision Synthesis
Atomic-level precision control
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AI-Assisted
Intelligent optimization design
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Electric Field Control
Innovative fabrication technology
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Comprehensive Characterization
Complete performance analysis
Prof. Wang

Jiangtao Wang

Assistant Professor, Researcher, PhD Supervisor

📧 wangjt@pku.edu.cn
🏢 Comprehensive Research Building, Room 229
🔬 Intelligent Synthesis of Low-Dimensional Materials
Professor Jiangtao Wang received his Ph.D. in Physics from Tsinghua University in 2018, followed by nearly 7 years of postdoctoral and research scientist work in the Department of Electrical Engineering and Computer Science at MIT. He joined the College of Engineering at Peking University as Assistant Professor in April 2025. His main research direction is intelligent precision synthesis of low-dimensional materials. He has published numerous papers in top journals including Nature and Nature Catalysis, and has received national talent program (young investigator) honors. He is committed to combining artificial intelligence technology to drive digital transformation in materials science research.
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Postdoctoral Researchers

2 members
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Postdoc Recruitment

Welcome to join us

AI-Assisted Materials Design Low-dimensional semiconductors
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PhD Students

2 students
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PhD Recruitment

2026 Admission Open

AI-Assisted Materials Design 2D Quantum Materials
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Undergraduate Students

2 students
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Internship Opportunities

Summer Research Internships

Course Practice Research Training
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Research Assistants

1 member
Liu

Liu (Research Assistant)

Laboratory Management
Equipment Maintenance & Safety Management
📧 liulab@pku.edu.cn
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Research Assistant Recruitment

Welcome to join our team

Lab Management Equipment Maintenance Technical Support
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Join Our Team!

We are seeking exceptional talents passionate about low-dimensional materials synthesis and artificial intelligence technology! Whether you are a graduating PhD student, an experienced postdoc, or an undergraduate curious about research, we welcome you to join us. Here, you will participate in cutting-edge scientific research, collaborate with world-class research teams, and contribute to the advancement of materials science.

Contact: wangjt@pku.edu.cn
01
Growing highly pure semiconducting carbon nanotubes by electrotwisting the helicity 🔽
Jiangtao Wang; Xiang Jin; Zebin Liu; Guo Yu; Qingqing Ji; Haoming Wei; Jin Zhang; Ke Zhang; Dongqi Li; Zi Yuan; Jiachen Li; Peng Liu*; Yang Wu; Yang Wei; Jiaping Wang; Qunqing Li; Lina Zhang; Jing Kong; Shoushan Fan; Kaili Jiang*
Nature Catalysis 2018, 1(5): 326-331
This study reports the first direct growth of highly pure semiconducting carbon nanotubes through electric field-controlled chemical vapor deposition. We discovered that external electric fields can effectively control the chirality of catalyst particles, thereby achieving precise control over carbon nanotube chirality. Semiconducting carbon nanotubes prepared by this method can achieve purities exceeding 95%, laying an important foundation for future nanoelectronic device applications.
📄 Original Article 📥 PDF Download
02
Cascaded compression of size distribution of nanopores in monolayer graphene 🔽
Jiangtao Wang#*; Chi Cheng#*; Xudong Zheng; Juan Carlos Idrobo; Ang-Yu Lu; Ji-Hoon Park; Bong Gyu Shin; Soon Jung Jung; Tianyi Zhang; Haozhe Wang; Guanhui Gao; Bongki Shin; Xiang Jin; Long Ju; Yimo Han; Lain-Jong Li; Rohit Karnik; Jing Kong*
Nature 2023, 623(7989): 956-963
We developed a cascaded compression method that can significantly reduce the size distribution of nanopores in monolayer graphene. Through multi-step precise control, we successfully reduced the standard deviation of nanopore sizes from 50% in traditional methods to less than 10%. This breakthrough provides new technical pathways for high-precision molecular sieving and ion-selective permeation.
📄 Original Article 📥 PDF Download 📋 Supplementary Info
03
Remote-Contact Catalysis for Target-Diameter Semiconducting Carbon Nanotube Arrays 🔽
Jiangtao Wang#*; Xudong Zheng#; Gregory Pitner; Xiang Ji; Tianyi Zhang; Aijia Yao; Jiadi Zhu; Tomás Palacios; Lain-Jong Li; Han Wang; Jing Kong*
Journal of the American Chemical Society 2024, 146(48): 33064-33074
We proposed the novel concept of remote-contact catalysis to achieve controllable preparation of target-diameter semiconducting carbon nanotube arrays. This method precisely controls the distance between catalyst and substrate to regulate carbon source supply rate, thereby achieving precise control over carbon nanotube diameter. The prepared nanotube arrays exhibit excellent electrical performance in transistor devices.
📄 Original Article 📥 PDF Download

Integrated research tool platform providing intelligent experimental assistance and data analysis functions

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Carbon Nanotube Array Recognition
Deep learning-based automatic recognition and analysis system for carbon nanotube arrays, supporting batch processing of SEM images and structural parameter extraction
Deep Learning Image Processing
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Intelligent Laboratory Control (LabElf)
Integrated experimental equipment control platform for intelligent management of lab equipment, including atmosphere control, temperature monitoring, and other equipment
Automation IoT Control
2025-04-01

Laboratory Officially Established

The Intelligent Precision Synthesis Laboratory for Low-Dimensional Materials was officially established at the College of Engineering, Peking University.

Lab Establishment Low-Dimensional Materials Intelligent Synthesis
2025-04-15

Professor Jiangtao Wang Joins Peking University

Professor Jiangtao Wang officially joined the College of Engineering at Peking University as Assistant Professor.

Personnel New Faculty College of Engineering
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Laboratory Address

Room 229, Comprehensive Research Building
College of Engineering
Peking University
No. 5 Yiheyuan Road, Haidian District, Beijing

📮 Postal Code: 100871
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Contact Information

Email: wangjt@pku.edu.cn
Principal Investigator: Prof. Jiangtao Wang
Position: Assistant Professor, Researcher, PhD Supervisor
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Graduate Student Recruitment

We welcome excellent students interested in low-dimensional materials synthesis and artificial intelligence technology to join our team!

• Materials Science & Engineering
• Nanomaterials & Technology
• Intelligent Materials Synthesis