# Background
# Video presentations
- Simen Eldevik, Stian Sætre, Erling Katla, and Andreas B. Aardal, "Offshore Drilling: Extending The Weather Window For Operations By Optimal Use Of Simulations And Probabilistic Machine Learning", OMAE2020 Virtual, August 3-7, Fort Lauderdale, FL, USA, 2020
# Technical reports
Simen Eldevik et al., "AI + Safety: Safety implications for artificial intelligence - Why we need to combine causal- and data-driven models" (opens new window)
Andreas Hafver et al., "Probabilistic Digital Twins - Extending digital twins for risk management" (opens new window)
# Journal papers
- Shady E. Ahmed et al., "Forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reduction" (opens new window), 2020
- Suraj Pawar et al., "Data-driven recovery of hidden physics in reduced order modeling of fluid flows " (opens new window)
- Suraj Pawar et al., "A long short-term memory embedding for hybrid uplifted reduced order models" (opens new window), 2020
- Suraj Pawar et al., "An evolve-then-correct reduced ordermodel for hidden fluid dynamics" (opens new window), 2020
- Muhammad S. Siddiqui et al., "Numerical assessment of RANS turbulence models for the development of data driven Reduced Order Models" (opens new window), 2020
- Harsha Vaddireddy et al., "Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data" (opens new window), 2020
- Adil Rasheed et al, "Digital Twin: Values, Challenges and Enablers From a Modeling Perspective" (opens new window), 2019
- Shady E. Ahmed et al., "Memory embedded non-intrusive reduced order modeling of non-ergodic flows" (opens new window), 2019
- Suraj Pawar et al., "Nonintrusive reduced order modeling framework for quasigeostrophic turbulence" (opens new window), 2019
- Christian Agrell, "Gaussian processes with linear operator inequality constraints" (opens new window), 2019
- Eivind Fonn et al., "Fast divergence-conforming reduced basis methods for steady Navier–Stokes flow" (opens new window), 2019
- Muhammad S. Siddiqui et al., "Finite-Volume High-Fidelity Simulation Combined with Finite-Element-Based Reduced-Order Modeling of Incompressible Flow Problems" (opens new window), 2019
- Sk. Mashfiqur Rahman et al., "A Hybrid Approach for Model Order Reduction of Barotropic Quasi-Geostrophic Turbulence" (opens new window)
# Conference papers
- Simen Eldevik and Stian Sætre, "Offshore Workover Operations: Reducing Uncertainty of Critical Weather Scenarios by Optimal Use of Simulations and Probabilistic Machine Learning", ESREL2020, June 22-26, Venezia, Italy, 2020
- Simen Eldevik, Stian Sætre, Erling Katla, and Andreas B. Aardal, "Offshore Drilling: Extending The Weather Window For Operations By Optimal Use Of Simulations And Probabilistic Machine Learning", OMAE2020 Virtual, August 3-7, Fort Lauderdale, FL, USA, 2020
- Eivind Fonn, Harald van Brummelen, Trond Kvamsdal and Adil Rasheed, "Fast divergence-conforming reduced basis methods for stationary and transient flow problems", 17th Deep Sea Offshore Wind R&D Conference 2020, Trondheim, Norway.
- Eivind Fonn, Mandar Tabib, Muhammad S. Siddiqui, Trond Kvamsdal and Adil Rasheed, "A step towards reduced order modelling of flow characterized by wakes using Proper Orthogonal Decomposition", 14th Deep Sea Offshore Wind R&D Conference 2017, Trondheim, Norway.