Research on Zhu Grouphttps://qzresearch.github.io/zhulab/research/Recent content in Research on Zhu GroupHugo -- gohugo.ioenqiangzhu@uow.edu.au (Zhu Group)qiangzhu@uow.edu.au (Zhu Group)© 2026 Zhu Group, University of WollongongBiomolecular condensateshttps://qzresearch.github.io/zhulab/research/biomolecular-condensates/Mon, 01 Jan 0001 00:00:00 +0000qiangzhu@uow.edu.au (Zhu Group)https://qzresearch.github.io/zhulab/research/biomolecular-condensates/Sequence-resolved simulation of how proteins demix into membraneless compartments, and what tips a liquid droplet towards a solid.Coarse-grained model developmenthttps://qzresearch.github.io/zhulab/research/coarse-grained-models/Mon, 01 Jan 0001 00:00:00 +0000qiangzhu@uow.edu.au (Zhu Group)https://qzresearch.github.io/zhulab/research/coarse-grained-models/Deriving coarse-grained interactions bottom-up from atomistic reference data, and mapping the conditions under which they stop being predictive.Machine learning for molecular modelshttps://qzresearch.github.io/zhulab/research/machine-learning/Mon, 01 Jan 0001 00:00:00 +0000qiangzhu@uow.edu.au (Zhu Group)https://qzresearch.github.io/zhulab/research/machine-learning/Learning representations that carry physics rather than hide it, and using learning to find out which parts of a classical force field are actually wrong.