Advanced Materials and Molecular Design
The Advanced Materials and Molecular Design Research Group is built on excellence in chemical research and research-led teaching of chemistry. We design and develop cutting-edge molecules and advanced materials. Chemistry is the central science and underpins almost all modern technologies; it is expansive in nature and highly innovative. Per capita we are amongst the most successful chemistry teams in terms of research funding in the country.
We offer advanced student and postdoctoral training in chemistry, instilling hands-on training in key chemical technologies, to empower our students with advanced capabilities positioning them for international-standard career choices with the skills for life-long learning. Our research graduates are readily employed in industry or academia either locally, nationally or internationally.
Research focus
Currently we have research projects in the areas of:
- Applied Electrochemistry
- Colloid and Surface Chemistry
- Computational Chemistry
- Energy Materials
- Flow Chemistry
- High Throughput Synthesis
- Low Dimension Materials
- Machine Learning
- Medicinal Chemistry
- Polymer Chemistry
- Self-assembly
- Soft and Functional Devices.
Our researchers
Current projects
Erica Wanless, Adam McCluskey & Alister Page – A pair of cutting-edge chemical synthesis and colloidal dispersion analysis robots – a NSW first in collaboration with UoW and UNSW.
Robert Chapman & Erica Wanless – We're seeking to deconstruct the major commodity plastic polyethylene without creating microplastics – the solution is molecular!
Erica Wanless, Alister Page & Grant Webber (Chemical Engineering) – Why do different salts behave differently? Can we develop new understanding of hypersaline media for high-tech solutions? What happens to salts in nonaqueous solvents?
Erica Wanless & Alister Page – Chemistry underpins a significant fraction of mineral separation technologies and we’re contributing our expertise in this large national centre.
Alister Page, Nikola Bowden, Paul Tooney (Hunter Medical Research Institute) – application of high-throughput in silico drug discovery and machine learning techniques for drug repurposing for ovarian and brain cancer.
Alister Page, Ben Noble & Sam Chen. Application of experimental, computational and machine learning techniques to designing new high-entropy catalysts for producing carbon nanomaterials such as carbon nanotubes, nanodiamonds and graphene.
Adam McCluskey & Alister Page. Identification of new drug candidates for treating T-Cell acute lymphoblastic leukemia, achieved using automated chemical synthesis guided by closed-loop machine learning algorithms.
Qianqian Shi, Robert Chapman, Sam Chen & Alister Page – We aim to change the traditional way of designing artificial photocatalysts by constructing large-area, ultrathin, and highly flexible artificial leaves using 2D soft plasmonic photocatalysts.
Sam Chen & Alister Page - We are interested in carbon material design by controlled assembly of nano-carbons, such as fullerenes, carbon nanotubes, graphene, nanodiamonds, and their derivatives, into new, long-range ordered structures with tuneable properties.
Sam Chen & Alister Page - We are interested in the novel synthesis for low-dimensional diamonds, including direct and controlled graphite-to-diamond phase transformations under mild conditions and the making of unconventional diamond architectures. We are also interested in exploring boron nitride analogues.
Robert Chapman - We are designing polymers that mimic therapeutic proteins, with a focus on replicating the biological of an anti-cancer protein called “TRAIL”. Because our mimics are synthetic they should be able to sidestep the biological barriers that prevent the use of the native protein as a drug.
Robert Chapman, Ben Noble, Trevor Rapson & Alvin Li (CSIRO) - We are using a high throughput approach to design polymeric mimics of (1) the nitrogenase enzyme, an important but fragile enzyme in the conversion of nitrogen to ammonia and (2) the expansin protein, a key target for improving gene delivery in plants.
Ben Noble and Rob Chapman - Integrating computational, machine learning, and experimental approaches for the design of photocatalytic chemical recycling processes.
Chemistry research that matters 1:39
Why choose chemistry? 2:46
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