Concepedia

Machine learning in process systems engineering: Challenges and opportunities

Pródromos Daoutidis, Jay H. Lee, Srinivas Rangarajan, Leo H. Chiang, R. Bhushan Gopaluni, Artur M. Schweidtmann, Iiro Harjunkoski, Mehmet Mercangöz, Ali Mesbah, Fani Boukouvala,

Computers & Chemical Engineering · 2023 · 108 citations · 68 references

DOI

Concepts

References

68

Highly accurate protein structure prediction with AlphaFold

John Jumper, Alexander Pritzel, Tim Green et al. · Nature · 2021 · 45.2K citations · Full text

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Discovering governing equations from data by sparse identification of nonlinear dynamical systems

Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutz · Proceedings of the National Academy of Sciences · 2016 · 4.5K citations · Full text

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CasADi: a software framework for nonlinear optimization and optimal control

Joel A.E. Andersson, Joris Gillis, Greg Horn et al. · Mathematical Programming Computation · 2018 · 3.7K citations · Full text

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Distilling Free-Form Natural Laws from Experimental Data

Michael Schmidt, Hod Lipson · Science · 2009 · 2.8K citations

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Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties

Tian Xie, Jeffrey C. Grossman · Physical Review Letters · 2018 · 2.6K citations · Full text

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