Scott MacLachlan

Scott MacLachlan

Memorial University of Newfoundland

H-index: 29

North America-Canada

About Scott MacLachlan

Scott MacLachlan, With an exceptional h-index of 29 and a recent h-index of 19 (since 2020), a distinguished researcher at Memorial University of Newfoundland, specializes in the field of Multigrid Methods, Numerical Linear Algebra, Finite Elements.

His recent articles reflect a diverse array of research interests and contributions to the field:

Extending Irksome: improvements in automated Runge--Kutta time stepping for finite element methods

Exploiting mesh structure to improve multigrid performance for saddle point problems

Constraint-Satisfying Krylov Solvers for Structure-Preserving Discretizations

Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations

A positivity-preserving unigrid method for elliptic PDEs

Multigrid preconditioning of singularly perturbed convection-diffusion equations

Coarse-grid selection using simulated annealing

Monolithic multigrid for implicit Runge–Kutta discretizations of incompressible fluid flow

Scott MacLachlan Information

University

Position

Professor

Citations(all)

2766

Citations(since 2020)

1377

Cited By

2003

hIndex(all)

29

hIndex(since 2020)

19

i10Index(all)

62

i10Index(since 2020)

47

Email

University Profile Page

Memorial University of Newfoundland

Google Scholar

View Google Scholar Profile

Scott MacLachlan Skills & Research Interests

Multigrid Methods

Numerical Linear Algebra

Finite Elements

Top articles of Scott MacLachlan

Title

Journal

Author(s)

Publication Date

Extending Irksome: improvements in automated Runge--Kutta time stepping for finite element methods

arXiv preprint arXiv:2403.08084

Robert C Kirby

Scott P MacLachlan

2024/3/12

Exploiting mesh structure to improve multigrid performance for saddle point problems

arXiv preprint arXiv:2401.06277

Lukas Spies

Luke Olson

Scott MacLachlan

2024/1/11

Constraint-Satisfying Krylov Solvers for Structure-Preserving Discretizations

SIAM Journal on Matrix Analysis and Applications

James Jackaman

Scott MacLachlan

2024/3/31

Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations

arXiv preprint arXiv:2306.06795

Alexey Voronin

Scott MacLachlan

Luke N Olson

Raymond Tuminaro

2023/6/11

A positivity-preserving unigrid method for elliptic PDEs

arXiv preprint arXiv:2306.03210

Ronald D Haynes

Scott MacLachlan

Dawei Wang

2023/6/5

Multigrid preconditioning of singularly perturbed convection-diffusion equations

arXiv preprint arXiv:2305.06823

M Shahid

SP MacLachlan

H Syed

2023/5/11

Coarse-grid selection using simulated annealing

Journal of Computational and Applied Mathematics

Tareq Uz Zaman

Scott P MacLachlan

Luke N Olson

Matthew West

2023/10/15

Monolithic multigrid for implicit Runge–Kutta discretizations of incompressible fluid flow

Journal of Computational Physics

Razan Abu-Labdeh

Scott MacLachlan

Patrick E Farrell

2023/4/1

MG-GNN: Multigrid graph neural networks for learning multilevel domain decomposition methods

Ali Taghibakhshi

Nicolas Nytko

Tareq Uz Zaman

Scott MacLachlan

Luke Olson

...

2023/7/3

Generalizing Lloyd's algorithm for graph clustering

arXiv preprint arXiv:2303.01667

Tareq Zaman

Nicolas Nytko

Ali Taghibakhshi

Scott MacLachlan

Luke Olson

...

2023/3/3

Multigrid preconditioning for regularized least-squares problems

arXiv preprint arXiv:2306.11067

Matthias Bolten

Scott P MacLachlan

Misha E Kilmer

2023/6/19

Low‐order preconditioning of the Stokes equations

Numerical Linear Algebra with Applications

Alexey Voronin

Yunhui He

Scott MacLachlan

Luke N Olson

Raymond Tuminaro

2022/5

A new mixed finite-element method for H2 elliptic problems

Computers & Mathematics with Applications

Patrick E Farrell

Abdalaziz Hamdan

Scott P MacLachlan

2022/12/15

Generalizing reduction‐based algebraic multigrid

Numerical Linear Algebra with Applications

Tareq Zaman

Nicolas Nytko

Ali Taghibakhshi

Scott MacLachlan

Luke Olson

...

2022

Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation

arXiv preprint arXiv:2212.05159

Nicolas Nytko

Ali Taghibakhshi

Tareq Uz Zaman

Scott MacLachlan

Luke N Olson

...

2022/12/10

A Boundary-Layer Preconditioner for Singularly Perturbed Convection Diffusion

SIAM Journal on Matrix Analysis and Applications

Scott P MacLachlan

Niall Madden

Thái Anh Nhan

2022

Learning interface conditions in domain decomposition solvers

Advances in Neural Information Processing Systems

Ali Taghibakhshi

Nicolas Nytko

Tareq Uz Zaman

Scott MacLachlan

Luke Olson

...

2022/12/6

Monolithic multigrid for a reduced-quadrature discretization of poroelasticity

SIAM Journal on Scientific Computing

James H Adler

Yunhui He

Xiaozhe Hu

Scott MacLachlan

Peter Ohm

2022

Multigrid reduction-in-time convergence for advection problems: A Fourier analysis perspective

arXiv preprint arXiv:2208.01526

H De Sterck

S Friedhoff

OA Krzysik

Scott P MacLachlan

2022/8/2

Finite-element discretization of the smectic density equation

arXiv preprint arXiv:2207.12916

Patrick E Farrell

Abdalaziz Hamdan

Scott P MacLachlan

2022/7/26

See List of Professors in Scott MacLachlan University(Memorial University of Newfoundland)

Co-Authors

H-index: 55
Stephen F. Mccormick

Stephen F. Mccormick

University of Colorado Boulder

H-index: 52
Cornelis W. Oosterlee

Cornelis W. Oosterlee

Universiteit Utrecht

H-index: 49
Kees Vuik

Kees Vuik

Technische Universiteit Delft

H-index: 48
Thomas A. Manteuffel

Thomas A. Manteuffel

University of Colorado Boulder

H-index: 30
Marc Hodes

Marc Hodes

Tufts University

H-index: 29
Luke Olson

Luke Olson

University of Illinois at Urbana-Champaign

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