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22
Jun
2018
Quantum Acoustics
Acoustics is the study of the propagation of mechanical waves in matter. This can refer to the vibrations of bars or plates, or waves propagating in bulk or at a surface. In any case, one can identify modes of vibration...
22
Jun
2018
In this presentation, we will first review the global current trends in the photovoltaics research and market. This includes mainstream crystalline silicon with the emergence of so-called passivating contact structures, and recent advances...
22
Jun
2018
An exhibition showcasing the unique collaborations between artists from the ANU School of Art and Design and other ANU researchers from a wide range of disciplines is now showing.
The Vice-Chancellor’s Visiting Artist Fellows Scheme (...
19
Jun
2018
The Energy Change Institute (ECI) is holding an Open Day to showcase the latest energy research from ANU.
The Open Day provides a platform for ANU researchers, industry, government agencies and other energy stakeholders to exchange energy...
14
Jun
2018
Abstract:
The 6th edition of the International Probabilistic Planning Competition (IPPC)
will be held in June 2018. We will discuss our submission to the IPPC, which
consists of an extension to the probabilistic planning system PROST....
13
Jun
2018
The interplay between logic and automata has been a fruitful theme in computer science that can be traced back to the classic results of Buchi, Rabin, Elgot, and Mezei from 5-6 decades ago. The field of formal verification has been one of...
08
Jun
2018
Abstract: Among all renewable energy technologies, Concentrating Solar Power (CSP) technologies possess an inherent advantage to integrate naturally with thermal energy storage (TES) for non-intermittent production of electricity. The most...
07
Jun
2018
Understanding and predicting the popularity of online items is an important open problem in social media analysis. Considerable progress has been made recently in data-driven predictions, and in linking popularity to external promotions....
04
Jun
2018
Towards effective utilization of invariance priors, many existing learning algorithms pre-fix the representation of data and search space, using invariance as a bias for empirical risk minimization. Prevalent methods that do learn...
01
Jun
2018
Kinodynamic RRT planners are considered to be general tools for effectively finding feasible trajectories for high-dimensional dynamical systems. However, they struggle when holonomic constraints are present in the system, such as those...
