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ntu.edu.sg
ntu.edu.sg > ntu-frs > news-events > news > detail > machine-learning-ensembles-surpassed-mechanistic-baselines-in-predicting-salmonella-inactivation

Machine Learning ensembles surpassed mechanistic baselines in predicting Salmonella inactivation

10+ hour, 21+ min ago  (207+ words) Machine Learning ensembles surpassed mechanistic baselines in predicting Salmonella inactivation'Nanyang Technological University - NTU Singapore NTU Food Research Systems (NTU'FRS) congratulates Prof William Chen on the publication of a new research article in Food Chemistry Advances, titled "Predictive Modeling of Salmonella…...

School of Social Sciences
ntu.edu.sg > sss > news-events > news > detail > presenting--databusters-2026

Presenting: Databusters 2026

2+ day, 21+ hour ago  (120+ words) Neal Ng Seng Yew " Year 2, ISE, NUS Owen Lim Qi Xun " Year 2, ECDS, NTU Wang Jia Wei " Year 2, CDE (CEG), NUS Yeo Wen Jie " Year 2, ACDA/NBS, NTU Wan Jun Jie Stanley " Year 2, ECDS / SSS, NTU Damon Ong Wen Zheng…...

ntu.edu.sg
ntu.edu.sg > spms > news-events > events > detail > 01/22/2026 > default-calendar > optimization-and-preconditioning--tpd-algorithms-for-nonlinear-pdes

Optimization and Preconditioning: TPD Algorithms for Nonlinear PDEs

1+ mon, 1+ week ago  (155+ words) Optimization and Preconditioning: TPD Algorithms for Nonlinear PDEs'Nanyang Technological University - NTU Singapore In physics and mathematics, a large class of PDE systems can be formulated as minimizing energy functionals subject to certain constraints. Lagrange multipliers are widely used for solving…...

ntu.edu.sg
ntu.edu.sg > mse > news-events > events > detail > 01/16/2026 > default-calendar > tct-seminar-professor-chris-pickard-16Jan2026

Hot-AIRSS - bringing temperature to structure search by Professor Chris Pickard

1+ mon, 2+ week ago  (172+ words) Hot-AIRSS - bringing temperature to structure search by Professor Chris Pickard'Nanyang Technological University - NTU Singapore Tan Chin Tuan Exchange Fellowship Lecture Hosted by Dr Feng Xiaolei Machine-learned interatomic potentials speed up atomistic calculations by several orders of magnitude. I will show…...