INTERVIEW
Simulation apps for everyone
14 January 2016
In her profile of simulation software company Comsol, Gemma Church hears about creating modelling applications to further the reach of multiphysics simulation
December 2015/January 2016
INTERVIEW
Is engineer by objective the future for simulation?
14 January 2016
Gemma Church profiles engineering simulation provider Noesis Solutions on how it is transforming designs into benchmark products and getting it right first time
INTERVIEW
The changing face of CAE
14 January 2016
Gemma Church talks to engineering simulation company Altair about how Computer Aided Engineering has become mainstream
INTERVIEW
Bridging the language divide
14 January 2016
Sophia Ktori continues her profiles of informatics companies by looking at how BSSN is pioneering data standardisation
FEATURE
Rise of the machines
14 January 2016
Gemma Church investigates how simulation software models the equipment used in the oil and gas industry
FEATURE
The king is dead, long live the king
14 January 2016
Robert Roe finds that upgrading legacy HPC systems is a complicated business, and that some obvious solutions may not be the best options
FEATURE
A quantum leap in processors?
14 January 2016
Adrian Giordani reports on progress in quantum computing and carbon nanotubes, but finds their commercial application still lies some way in the future
FEATURE
Life in the cloud
14 January 2016
In the first of two articles about informatics software as a service, Sophia Ktori looks at the motivations for transferring to the cloud
Feature
Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process
Feature
Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory
Feature
This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories.
Feature
This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value
Feature
This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment