ModSpec: An open, flexible specification framework for multi-domain device modelling. - David Amsallem; Jaijeet S. Roychowdhury (ICCAD, 2011)

An Online Method for Interpolating Linear Parametric Reduced-Order Models. - David Amsallem; Charbel Farhat (SIAM J. Sci. Comput., 2011)

High-order accurate difference schemes for the Hodgkin-Huxley equations. - David Amsallem; Jan Nordström (J. Comput. Phys., 2013)

The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows. - Kevin Carlberg; Charbel Farhat; Julien Cortial; David Amsallem (J. Comput. Phys., 2013)

Corrigendum to "The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows" [J. Comput. Physics 242 (2013) 623-647]. - Kevin Carlberg; Charbel Farhat; Julien Cortial; David Amsallem (J. Comput. Phys., 2013)

Fast local reduced basis updates for the efficient reduction of nonlinear systems with hyper-reduction. - David Amsallem; Matthew J. Zahr; Kyle Washabaugh (Adv. Comput. Math., 2015)

Efficient model reduction of parametrized systems by matrix discrete empirical interpolation. - Federico Negri; Andrea Manzoni; David Amsallem (J. Comput. Phys., 2015)

Robust model reduction by L1-norm minimization and approximation via dictionaries: application to nonlinear hyperbolic problems. - Rémi Abgrall; David Amsallem; Roxana Crisovan (Adv. Model. Simul. Eng. Sci., 2016)

PEBL-ROM: Projection-error based local reduced-order models. - David Amsallem; Bernard Haasdonk (Adv. Model. Simul. Eng. Sci., 2016)

Real-time solution of linear computational problems using databases of parametric reduced-order models with arbitrary underlying meshes. - David Amsallem; Radek Tezaur; Charbel Farhat (J. Comput. Phys., 2016)

Energy Stable Model Reduction of Neurons by Nonnegative Discrete Empirical Interpolation. - David Amsallem; Jan Nordström (SIAM J. Sci. Comput., 2016)

Gradient-based constrained optimization using a database of linear reduced-order models. - Youngsoo Choi; Gabriele Boncoraglio; Spenser Anderson; David Amsallem; Charbel Farhat (J. Comput. Phys., 2020)

Leveraging Risk Models to Improve Productivity for Effective Code Un-Freeze at Scale. - Audris Mockus; Rui Abreu 001; Peter C. Rigby; David Amsallem; Parveen Bansal; Kaavya Chinniah; Brian Ellis; Peng Fan; Jun Ge; Bingjie He; Kelly Hirano; Sahil Kumar; et al. (ACM Trans. Softw. Eng. Methodol., 2025)