WELCOME
The Hajizadeh Research Group carries out research with the vision of enabling autonomous soft matter discoveries through contributing to the 4 pillars of this emerging field, including physics-informed and interpretable ML for soft matter, integrated multiscale soft matter simulations, inverse design through statistical optimization, and high throughput robotic soft matter synthesis.
We are specifically working on the following problems: ML-enabled hybrid transferrable coarse-grain model development, ML-enabled multiscale soft matter simulation framework, soft matter physics, rheology of complex fluids, multi-block copolymer phase behaviour, antibacterial star polymers, sustainable materials for circular economy, shape memory liquid elastomers, and advanced materials for water-borne acoustics.
Dr Ellie Hajizadeh
Assistant Professor of Mechanical Engineering
The University of Melbourne
Melbourne, Australia
The Hajizadeh Research Group carries out research with the vision of enabling autonomous soft matter discoveries through contributing to the 4 pillars of this emerging field, including physics-informed and interpretable ML for soft matter, integrated multiscale soft matter simulations, inverse design through statistical optimization, and high throughput robotic soft matter synthesis.
We are specifically working on the following problems: ML-enabled hybrid transferrable coarse-grain model development, ML-enabled multiscale soft matter simulation framework, soft matter physics, rheology of complex fluids, multi-block copolymer phase behaviour, antibacterial star polymers, sustainable materials for circular economy, shape memory liquid elastomers, and advanced materials for water-borne acoustics.
Dr Ellie Hajizadeh
Assistant Professor of Mechanical Engineering
The University of Melbourne
Melbourne, Australia
