Aerosol Intelligence Lab
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Jicheng Feng
Group Leader, Principle Investigator, Assistant Professor
Shanghai Municipality: Program for High-Level Overseas Talents Introduction 
Dr. Jicheng Feng obtained his PhD with Prof. A. Schmidt-Ott from Delft University of Technology in 2016. He then worked as a postdoctoral researcher in the group of Prof. M. Koper at Leiden University for about 2 years. In 2018, he joined the group of Prof. M. Choi at Seoul National University, where he was employed as research assistant professor. Since September 2020, he has worked as a tenure-track Assistant Professor (PI) at ShanghaiTech University, where he leads the Aerosol Intelligence Laboratory (AIL). 
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Shirong Liu
PhD student
Faraday 3D printing
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The semiconductor industry is facing a new era in which device downscaling and cost reduction are becoming technologically impossible tasks. Nanotechnology scientists and semiconductor companies are now looking for solutions to bridge the related gaps and improve cost performance. Our group focuses on the development of a new aerosol-based 3D nanoprinting technique that enables the controlling of the topologies of electric fields at nano-scale, and the resulting nano-path guides the charged nanoparticles to a precise location in each dimension. Our main aim is to realize its automation and then to make a smart integration into semiconductor sectors, which will benefit to the many fields, such as nanophotonics and nanoelectronics.
Binyan Liu
PhD student
Metamaterials
Our main focus lies on the metamaterials. Micro/nano optics pushes the development of nanostructured materials that respond to light of short wavelengths. Such development has reached the limit with respect to the material types and their manufacturing. To overcome these problems, our group relies a new nanomanufacturing technology, which can be adapted to show the ability of materialization and structuring. With that, we are busy to understand the light-matter interaction, exploring the resulting new phenomena. This study can lead to an opportunity of breaking through the diffraction limit. 
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Our research mainly focuses on the creation and understanding of the behaviors of atomic clusters, also named as superatoms. For nanoparticles below a critical size (∼100 nm), their properties are not sensitive to the addition or removal of a single atom. As for atomic clusters, their properties change abruptly and nonpredictively, a stage in which even the addition of a single atom or electron may cause a drastic change. In this regime, the electron wavelength becomes comparable to the cluster size. The fact that properties of matter at this length scale are fundamentally different from their bulk behavior can be effectively used to produce materials with tailored properties. Such cluster-assembled materials, with their unique properties, can expand the scope of materials science.
Yaochen Han
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PhD student
Atomic clusters
We mainly focus on the printing of high-entropy alloy nanostructures, thus adding a new dimension to our 3D printing technique. The appearance of high-entroy alloys represents a paradigm shift in materials science. In distinct from the conventional ways, our project will implement aerosol systems to dig out new physics underlying such new possibilities. Despite the challenging tasks, the interdisciplinary research marks a frontier direction in HEA nanoprinting. 
Jingui Ai
Master student
HEAs nanoarchitectures
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We focus on the design and creating of nanoelectronics that were incapable by other techniques. Again, we stress the strong ability of Faraday 3D printing in miniaturization and materialization. Such important features open new pathways for printing the new generation of nanoelectronics. Doing so is expected to develop a wholly new field. 
Yueqi Zhang
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Master student
Printed nanoelectronics-type Ⅱ
We are busy for developing the new generation of nanoelectronics. Such an interdisciplinary research relies on our Faraday 3D printing technique, particularly its strong abilit in printing 3D metal nanostructures with a typical feature size of sub-100-nm and in unlimited choices for materials.  We expect that our research will open uncharted area in 3D-printed nanoelectronics. 
Yuxiang Yin
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Master student
Printed nanoelectronics -typeⅠ       
Rui Cao
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Master student (SQDL)
Nanofabrication
'Faraday 3D Nanoprinting' is a new paradigm for nanomanufacturing. We have realized that the use of electrically biased planes for configuring the electric fields. By manipulating the potentials appllied to each plane, we can control the width of the funnel field. Our project aims to fabricating the holey plane with nanosized holes and pitches, so that the printed features can be miniaturized to atomic range in 3D. 
Pengzhe Xia
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Master student 
Printed microelectronics-type 3
In integrated circuits (IC), the compoenents for nanoelectronics are mainly developed toward smaller scale and higher performance. Our group attempts to integrate the "Faraday 3D printing technology" into IC fabrication. Key ability for 3D fabrication may open vast possibilities for future 3D integration. 
Qiling Liu
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Master student 
Optical metamaterials
Surface plasmon is a collective oscillation phenomenon generated by the interaction between free electrons on the metal surface and the incident light field. This topic focuses on micro-nano optics and uses ' Faraday ' 3D printing technology to study the relationship between surface plasmon phenomena and material geometries and size, as well as the behavior of electron gas in printed nanoarchitectures, and explore the the possibilities for new metamaterials.
Ji Wen
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Master student 
Printed nanoelectronics for IC fabrication
Using the "Faraday" 3D printing technology, we can print metal 3D nanostructures, which are key components in IC fabrication. This research mainly aims at regulating the conductivity of the printed nanostructures. We also would like to explore the scenarios where "Faraday" 3D printing technology can bring improvement and transformation in liquid process. This liquid process may bring unprecedented possiblities for biomaterials-related applications.
Jiehao Kou
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Master student 
Reactive dynamics for flying atomic clusters
Here we focus on a deep learning molecular dynamics algorithm (DM) to calculate the collisional cross sections of atomic clusters. Based on this algorithm, the electrical, thermodynamic, and magnetic properties can be predicted. These properties are then harnessed to design next generation materials, including catalysts et c. We also investigate the reactive dyanmics of clusters with our self-developped online monitory system.  
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