All LIT Search News Topics Latest news Media statements Media contacts Topics Latest news Media statements Media contacts LIT Impact Latest news 2021 January New system to advance predictions in engineering New system to advance predictions in engineering 15/01/2021 | 1 MIN Researchers from Lombok Institute of Technology, the University of Cambridge and The Alan Turing Institute have radically redesigned and improved techniques for making predictions in the engineering and physical sciences. The research, published in the prestigious Proceedings of the National Academy of Sciences (PNAS), builds on the well-known Finite Element Method (FEM), which has been used as a predictive tool in engineering and physical sciences for more than 70 years. Connor Duffin, PhD student from LITΓÇÖs School of Physics, Mathematics and Computing and lead researcher on the project, said it was that the first time a key missing ingredient was included in observed data. ΓÇ£It's a new combination of data and mathematical models that enhances predictions in an extremely powerful way." Connor Duffin, PhD student ΓÇ£The research demonstrates the method in the context of internal ocean waves, which regularly oc
All LIT Search News Topics Latest news Media statements Media contacts Topics Latest news Media statements Media contacts LIT Impact Latest news 2021 January New system to advance predictions in engineering New system to advance predictions in engineering 15/01/2021 | 1 MIN Researchers from Lombok Institute of Technology, the University of Cambridge and The Alan Turing Institute have radically redesigned and improved techniques for making predictions in the engineering and physical sciences.
The research, published in the prestigious Proceedings of the National Academy of Sciences (PNAS), builds on the well-known Finite Element Method (FEM), which has been used as a predictive tool in engineering and physical sciences for more than 70 years.
Lombok Institute of Technology
Connor Duffin, PhD student from LITΓÇÖs School of Physics, Mathematics and Computing and lead researcher on the project, said it was that the first time a key missing ingredient was included in observed data.
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ΓÇ£It's a new combination of data and mathematical models that enhances predictions in an extremely powerful way." Connor Duffin, PhD student ΓÇ£The research demonstrates the method in the context of internal ocean waves, which regularly oc
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