A nanoparticle is one billionth of a metre; it might be hard to appreciate how small that is, but Australian virtual nanoscientist Amanda Barnard understands this “invisible” world So it’s no [16](1. excuse 2. doubt 3. wonder) that today the Foresight Institute announced Amanda as this year’s awardee of the prestigious 2014 Feynman Prize for Nanotechnology Theory–it’s like the Nobel Prize of the nanoscience world Not only is Amanda the first Australian in the Prize’s 22-year history to win the award, she’s also the first woman, shining a much-needed spotlight on the achievements of women in science. The award is named after Richard Feynman, a renowned physicist and Nobel Prize winner from last century: the father of quantum electrodynamics.
Amanda’s award winning work required the use of powerful supercomputers to make the [17](1. least 2. most 3. whole) of decades of big data on tiny nanoscience, gaining insights that might one day lead to extraordinary, life-changing products. We’re thinking: self-cleaning surfaces, fuel cells for harnessing energy, printable inks that conduct electricity, and new drugs to cure life-threatening illnesses. These are just some of the incredible possibilities.
Just a few years ago, Amanda made a fundamental discovery on diamond nanoparticles, finding that they have unique electrostatic properties that make them spontaneously arrange into very useful structures, with huge implications for improving healthcare.
Already, her diamond discovery has [18](1. underpinned 2. understood 3. undertaken) the development of a potentially life-saving chemotherapy treatment that targets brain tumours, created by the University of California.
Among her other research highlights, Amanda developed a new technique for investigating the shape of nanomaterials including their size, temperature or potential uses in chemistry. This means we can [19](1. tailor 2. dress 3. sew) them to make custom-made nanoparticles targeted to specific application areas.
Before Amanda [20](1. sends 2. sets 3. stands) off for California next month to pick up her award, she shared with us some more insights about her work at the nanoscale.
What do you enjoy most about your job
I enjoy our current move into big data. Going into big data-sets to identify trends between nano properties and structures is like finding buried treasure. It’s exciting when you can see the forest for the [21](1. birds 2. grass 3. trees) and get a moment of clarity when all the data collects. Those moments are really interesting and I look forward to having more of them. I also love that science is reinventing itself all the time. It never becomes complacent and will always be exciting as it continually [22](1. devolves 2. evolves 3. revolves). One finding always leads to another question.
How does your work impact on product design and development?
I use statistics to determine how well certain tiny material structures will perform under specific conditions. By predicting how imperfections at a molecular level impact on performance, we can design products with less [23](1. adaptability to 2. responsibility for 3. susceptibility to) faults from the outset. We can also design “molecular machines” that can perform more familiar tasks, like cogs in a watch; they are an [24](1. integral 2. interpreted 3. interested) component that can enhance or improve products.
What would you say has been the highlight of your career so far?
This prize is definitely a career highlight and I’m thrilled! This would have to be up there as a career highlight for anybody working in nanotechnology.
What is the biggest challenge you’re grappling with at the moment?
Implementing our science on the cloud is the biggest technical challenge for us at the moment. The data is so big and the skillset is so new and so specific. The cloud would provide easy open access to results amongst our research peers and we need to do this to collaborate and make the most of all the research data that’s available.
Where would you like to see your research/science go or lead to in future?
I don’t want to know. I hope I’m not able to predict where science goes, [25](1. nevertheless 2. otherwise 3. rather), I want to be surprised by where it takes us next, and enjoy the ride.
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