Computing hardware/software > Mathematics & statistics

Mathematical modelling predicts polymer network properties

08 September, 2021

A powerful mathematical modelling tool will allow scientists to predict the properties of polymer networks before they are even created.

Computer model identifies drug-resistant mutations

01 June, 2020

The approach could significantly improve the ongoing challenge of developing drugs that combat resistant cancers, as well as resistant bacterial and viral infections.

New algorithm could improve rare disease diagnosis

02 October, 2018

Stanford scientists have developed an algorithm, called Phrank, that automates the most labour-intensive part of genetic diagnosis.

Mathematical modelling of the body's biochemical systems

07 December, 2015

Researchers have developed an energy-based mathematical modelling technique to build models of the complex biochemical systems within the human body.

Mathematical modelling of cell cluster formations

20 March, 2014

Mathematicians at the University of Adelaide have devised a method for identifying how cell clusters have formed by analysing an image of the cluster.

Getting wind of spin bowling’s secrets

08 July, 2013 by Lauren Davis

Just in time for the Ashes test cricket series this week, two Australian physicists have presented equations highlighting the trajectory of a spinning ball as it moves through the air in the presence of wind.

More effective teleportation

18 January, 2013

For the last 10 years, theoretical physicists have shown that the intense connections generated between particles as established in the quantum law of ‘entanglement’ may hold the key to eventual teleportation of quantum information. Now, for the first time, researchers have worked out how entanglement could be ‘recycled’ to increase the efficiency of these connections.

Memory formation and the development of artificial cognitive computers

26 November, 2012

By studying the exact synaptic conditions required in memory formation, researchers hope to develop models which will aid in the construction of artificial cognitive computers in the future.

High-performance computing transforms research

30 October, 2012

New super-fast, high-performance computing (HPC) being installed by La Trobe University,  RMIT University and Victorian Partnership for Advanced Computing (VPAC) will revolutionise the computational modelling and simulation technologies available to researchers.

Travelling faster than the speed of light

15 October, 2012

University of Adelaide applied mathematicians have extended Einstein’s theory of special relativity to work beyond the speed of light.

MathWorks Matlab and Simulink Release 2012b numerical computing

04 October, 2012

MathWorks has introduced Release 2012b with major updates to Matlab and Simulink that significantly improve use and navigation.

Mathematical modelling and safer chemotherapy

21 September, 2012

A new model which reveals how the immune system functions under conditions of neutropenia may lead to safer chemotherapy and also bring us closer to the holy grail of personalised medicine.

Minimising challenges in biological modelling

01 December, 2011

Modelling has long played a key role in the drug discovery process, from isolating drug targets to screening and pharmacokinetics. Many pharmaceutical companies are currently facing patent expirations without replacement candidates in the pipeline or are struggling with high candidate attrition. Leaner pipelines results in necessary cost decreases, which can often lead to staff reductions. These struggles underscore the need for successful modelling in pharmaceutical R&D.

Munters free psychrometric tool for climate calculations

29 November, 2011

Munters’ free psychrometric calculation tool can be used to calculate the total, sensible, latent and moisture loads of any process. It has been designed for the iPhone and iPod Touch and can also run unmodified on an iPad for fast and accurate humidity calculations while on the go.

Significant does not equal important

24 October, 2011

Declaring a result ‘significant’ strongly suggests certainty, and that the result is large and important, but this is not what statistical significance implies. This is why statistical reformers are advocating a switch from significance testing to estimation.

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