Welcome to the nexSAS (next-generation Science-AI Synergy) group at The Australian National University! In nexSAS, we use AI to revolutionize solar and energy storage technology by uncovering new physics and developing new research techniques.
News
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January 13, 2025Welcome, Jinzhi, and thank you for joining us!
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January 12, 2025Welcome, Yiqing! We’re excited to have you with us.
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January 12, 2025
Woohoo, we are lauching our group website!
Research
Embodied AI for accelerated discovery of next-generation photovoltaic materials
This research is based on a collaborative ACAP2 project among Monash, ANU, and UNSW entitled Bayesian Optimization and Large Language Modules: Towards Autonomous, Closed-Loop PV Materials Discovery.
Atomic origin of instability at the perovskite interfaces
AI-enhanced computational study of interface physics.
Development of a low-cost and quantitative materials analysis platform by physics-based machine learning
ACAP Postdoctoral Fellowship (R4, 2023).
Transport phenomenon at the tri-phase interface in hydrogen energy systems
This research investigates the transport of electrons, ions, and molecules at the tri-phase interface in hydrogen energy systems.
Development of user friendly machine learning toolkit for perovskite solar cell analysis
An Honours project for Bachelor of Computer Science
People
Group Leader
Dr Hualin Zhan
Graduate Students
Yiqing Zhang
Jinzhi Si
X PhD
Collaborators
Alumni
Funding
Our works are supported by the Australian Centre for Advanced Photovoltaics and the Australian Renewable Energy Agency.