Digitalisation

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TCE: Data Science and Digitalisation for Chemical Engineers

TCE: Data Science and Digitalisation for Chemical Engineers

Matthew Proctor and Leo Chiang discuss how the proliferation of data and ways to use it is impacting the role of chemical engineers.

TCE: Digi-bridging biochemical engineering education

TCE: Digi-bridging biochemical engineering education

Preparing students for the digitally-enabled workplace, Duygu Dikicioglu and Gary Lye discuss the adoption of digitalisation into the learning environment.

TCE: Why Should Cybersecurity Matter to You?

TCE: Why Should Cybersecurity Matter to You?

IChemE has launched fact files on the importance of cybersecurity in the process industries. Helen Kilbride explains why cybersecurity must be on your radar.

TCE: Chemical engineer warns lawmakers about UK’s cyber weaknesses

TCE: Chemical engineer warns lawmakers about UK’s cyber weaknesses

The UK is routinely targeted by cyber attackers, with China and Russia posing the greatest state-backed cyber threat, says a parliamentary briefing report by IChemE’s 2021 Ashok Kumar fellow, Amber Keegan.

TCE: New online platform helps pinpoint GHG emission sources across the globe

TCE: New online platform helps pinpoint GHG emission sources across the globe

Half of the world’s 50 largest sources of greenhouse gas emissions across the world are oil and gas production fields and their associated facilities – the same industry which is also significantly underreporting its emissions, a new database by Climate TRACE shows.

TCE: Digital Twins in the Chemical Process Industries

TCE: Digital Twins in the Chemical Process Industries

Joanne Tanner and Colin Newbery discuss the hype and the hope for digital twins.

Journals: Application of long short-term memory recurrent neural networks for localisation of leak source using 3D computational fluid dynamics

Journals: Application of long short-term memory recurrent neural networks for localisation of leak source using 3D computational fluid dynamics

The feedforward neural network (FNN) is defined in this section alongside the long short-term memory recurrent neural network (LSTM-RNN), a particular model that also uses the feedforward propagation of information.

Journals: A review of automated and data-driven approaches for pathway determination and reaction monitoring in complex chemical systems

Journals: A review of automated and data-driven approaches for pathway determination and reaction monitoring in complex chemical systems

In this work, we review the state of the art on approaches for the determination of reaction networks and the real-time monitoring of reactions in complex chemical systems consisting of multiple reactive components using automated and data-driven methods.

TCE: Partners push digitalisation for processes

TCE: Partners push digitalisation for processes

IMPERIAL College London and China’s Jiangsu Industrial Technology Research Institute (JITRI) are working together to improve intelligent process manufacturing by using digitalisation to modernise and decarbonise industry.