Jicheng Feng

Group Leader, Principle Investigator, Assistant Professor

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). 

Binyan Liu

PhD student

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. 

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

PhD student

We focus on the design and creating of nanoelectronics that were incapable by other techniques. Our project is slightly moving toward the real fabrication of semiconducting materials. The unique ability of Faraday 3D printing in miniaturization and materialization.open new pathways for printing the new generation of nanoelectronics. Doing so is expected to develop a wholly new field. 

Yueqi Zhang

Master student

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

PhD student

Rui Cao

Master student (SQDL)

'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. 

Qiling Liu

Master student 

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, material geometries and size, as well as the behavior of electron gas in printed nanoarchitectures, and explore the possibilities for new metamaterials.

Ji Wen

Master student 

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

Master student 

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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