AI-enabled design
Data-driven inverse design and intelligent manufacturing methods for complex engineering systems.
MECHANICS · INTELLIGENCE · MANUFACTURING
Liuchao Jin
Postdoctoral Fellow at The Chinese University of Hong Kong
I study how machine intelligence and advanced manufacturing can be used to design materials and structures with purposeful mechanical behavior.
RESEARCH THEMES
Engineering across scales
My research connects algorithms, mechanics, and fabrication to move from a design question to a manufacturable, experimentally validated structure.
Architected materials
Metamaterials and structures engineered for impact resistance, energy absorption, and adaptive response.
Adaptive fabrication
3D/4D printing, smart materials, soft robotics, and energy harvesting from concept to prototype.
SELECTED WORK
Recent research
Machine learning-based inverse design for functional materials
Methods, challenges, and engineering applications.
Co-first author
Inverse design of impact-resistant metamaterials
Machine-learning-enabled design of heterogeneous structures.
Corresponding author
From artificial to embodied and physical intelligence
A smart-manufacturing perspective on the next generation of intelligence.
Corresponding authorACADEMIC JOURNEY
Training and appointment
A foundation in mechanical engineering, developed through research in intelligent manufacturing and mechanics.
- 2026—PresentHong KongCurrent
Postdoctoral Fellow
The Chinese University of Hong Kong
- 2022—2026Hong Kong
PhD in Mechanical & Automation Engineering
The Chinese University of Hong Kong · Hong Kong PhD Fellowship Scheme
- 2018—2022Chengdu
BEng in Mechanical Engineering
Sichuan University - Pittsburgh Institute
EXPLORE THE WORK
Research, publications, and academic service
Browse the complete publication record or visit my ORCID profile for a broader view of my academic output.