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Intelligent Design of Autonomous Materials

The Group on Intelligent Design of Autonomous Materials welcomes competitive and enthusiastic applicants to conduct cutting-edge research at HKUST in Hong Kong. Interested persons with theoretical or computational background in Applied Mathematics, Physics, Biophysics, Materials Science, Mechanical Engineering, or Chemical Engineering are encouraged to send enquiries to Rui's email address at

ruizhang@ust.hk

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Our Research

Our society is currently facing unprecedented challenges in health, energy, and the environment, which have created a strong demand in new materials which are renewable, multifunctional, light-weight, and can interact with human more safely and intelligently. Soft materials are a promising candidate for this purpose. The overarching goal of the our Group is to harness soft materials, such as active matter, liquid crystals, polymers, colloids, metamaterials, and their composites to design next-generation, autonomous materials and soft machines.

Specifically, our group will employ traditional and emerging computational methods, including machine learning, to propose novel soft materials with nontraditional functionalities, features, and dynamics. Examples include active fluids with tailorable flow patterns, multiphase systems sensitive to specific stimuli, and origami materials with novel shape-changing behaviors in response to external fields. These new soft materials are promising for soft robotics, wearable devices, space exploration, 4D printing, energy harvesting, smart buildings, sensing and diagnosis, and etc.

 

Our group strives to borrow the wisdom from biological systems and design synthetic materials and machines that are low-cost, green, biocompatible, and intelligent. Our research is multidisciplinary, covering Physics, Biology, Chemistry, Materials Science, Chemical and Mechanical Engineering.

Zhawure Asilehan, Wentao Tang, Xinda Zheng, Ruijie Wang, Jing Zhang, Kun Tian, Fernando Vergara, Qingtian Shi, Zijun Chen, Jinghua Jiang#, Rui Zhang# and Chenhui Peng#

Nat. Commun. 16, 9178 – published on 16 October 2025

Skyrmions, with their robust topologically protected properties, have demonstrated significant potential for applications in spintronic devices. Despite their promise, the manipulation of topological invariants within these protected structures has remained a complex challenge. In this work, we present a method to orchestrate the topological transformation of half skyrmions through monopoles, which are singular point defects endowed with nontrivial topological charges. Through experiments and simulations, we identified eight distinct types of emergent monopoles. The mutual transformation between different half skyrmions can be induced by manipulating the profiles of topologically protected monopoles with light irradiation. Furthermore, a pair of monopoles and antimonopoles exhibit both attractive and repulsive interactions, depending on the topological structure of the half skyrmion that separates them. Leveraging the dynamic characteristics of monopoles, we have effectively used them as carriers for colloidal particles. This study of topological transitions in nematic liquid crystals offers valuable insights into fundamental physical phenomena and enhances our grasp of the subtle dynamics of topological matter, potentially leading to advances in the design of smart materials and devices with novel functionalities.

The Intelligent Design of Autonomous Materials Group is proudly supported by the Research Grants Council of Hong Kong, Guangdong Natural Science Foundation, and ASPIRE League.

The Hong Kong University of Science and Technology

(852) 2358 5734

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