World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
41
Citations
15334
World Ranking
1850
National Ranking
784

Engineering and Technology

D-Index
44
Citations
15887
World Ranking
5669
National Ranking
1578

Research.com Recognitions

  • 2011 - Fellow of the American Academy of Arts and Sciences
  • 2009 - SIAM Fellow For the development of adaptive algorithms and software for partial differential equations.
  • 2005 - Member of the National Academy of Engineering For developing adaptive mesh refinement algorithms and software that have advanced engineering applications, especially the analysis of aircraft and spacecraft.
  • 2000 - Member of the National Academy of Sciences

Overview

Marsha Berger is affiliated with New York University in the United States. Their research spans multiple fields, primarily in Engineering, Computer Science, and Earth and Planetary Sciences. Within these fields, their work focuses on subfields including Computational Mechanics, Control and Systems Engineering, Artificial Intelligence, Geophysics, and Atmospheric Science.

The primary topics addressed in their research include earthquake and tectonic studies, Computational Fluid Dynamics and Aerodynamics, Fault Detection and Control Systems, Target Tracking and Data Fusion in Sensor Networks, Geology and Paleoclimatology Research, Advanced Numerical Methods in Computational Mathematics, and Fluid Dynamics and Turbulent Flows.

Marsha Berger has authored several research papers published in a variety of venues. Notable publication venues include arXiv (Cornell University), Journal of Computational Physics, SIAM Journal on Scientific Computing, SEMA SIMAI Springer series, and Notices of the American Mathematical Society.

Recent papers by Marsha Berger include:

  • A state redistribution algorithm for finite volume schemes on cut cell meshes, 2020, Journal of Computational Physics
  • A New Provably Stable Weighted State Redistribution Algorithm, 2024, SIAM Journal on Scientific Computing
  • The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning, 2024, arXiv (Cornell University)
  • Implicit Adaptive Mesh Refinement for Dispersive Tsunami Propagation, 2024, SIAM Journal on Scientific Computing
  • Asteroid-Generated Tsunamis: A Review, 2022, SEMA SIMAI Springer series

Frequent co-authors collaborating with Marsha Berger include:

  • Andrew Giuliani
  • Randall J. LeVeque
  • Keiya Hirashima
  • S. W. Nixon
  • François Rozet

Marsha Berger has been recognized by several organizations for contributions in their field. They were named a Fellow of the American Academy of Arts and Sciences in 2011. In 2009, they became a SIAM Fellow for work related to the development of adaptive algorithms and software for partial differential equations. They were elected a Member of the National Academy of Engineering in 2005 for contributions to adaptive mesh refinement algorithms and software with engineering applications, including the analysis of aircraft and spacecraft. Additionally, they were elected to the National Academy of Sciences in 2000.

Best Publications

  • Local adaptive mesh refinement for shock hydrodynamics

    M. J. Berger;P. Colella

  • Adaptive mesh refinement for hyperbolic partial differential equations

    Marsha J. Berger;Joseph E. Oliger

  • An Adaptive Version of the Immersed Boundary Method

    Alexandre M Roma;Charles S Peskin;Marsha J Berger

  • Robust and efficient Cartesian mesh generation for component-based geometry

    M. J. Aftosmis;M. J. Berger;J. E. Melton

  • Three-dimensional adaptive mesh refinement for hyperbolic conservation laws

    John Bell;Marsha Berger;Jeff Saltzman;Mike Welcome

  • An algorithm for point clustering and grid generation

    M. Berger;I. Rigoutsos

  • Tsunami modelling with adaptively refined finite volume methods

    Randall J. LeVeque;David L. George;Marsha J. Berger

  • Adaptive Mesh Refinement Using Wave-Propagation Algorithms for Hyperbolic Systems

    Marsha J. Berger;Randall J. LeVeque

  • The GeoClaw software for depth-averaged flows with adaptive refinement

    Marsha J. Berger;Marsha J. Berger;Marsha J. Berger;David L. George;David L. George;David L. George;Randall J. LeVeque;Randall J. LeVeque;Randall J. LeVeque;Kyle T. Mandli;Kyle T. Mandli;Kyle T. Mandli

  • A Parallel Multilevel Method for Adaptively Refined Cartesian Grids with Embedded Boundaries

    M. J. Aftosmis;M. J. Berger;G. Adomavicius

  • ON CONSERVATION AT GRID INTERFACES.

    Marsha J. Berger

  • Automatic adaptive grid refinement for the Euler equations

    Marsha J. Berger;Antony Jameson

  • High-order accurate implementation of solid wall boundary conditions in curved geometries

    Lilia Krivodonova;Marsha Berger

  • Analysis of Slope Limiters on Irregular Grids

    Marsha Berger;Michael J. Aftosmis

  • A rescaling algorithm for the numerical calculation of blowing-up solutions

    Marsha Berger;Robert V. Kohn

  • An Adaptive Cartesian Mesh Algorithm for the Euler Equations in Arbitrary Geometries

    Marsha J. Berger;Randall J. LeVeque

  • Numerical Experience with Limited-Memory Quasi-Newton and Truncated Newton Methods

    X. Zou;I. M. Navon;M. Berger;K. H. Phua

  • Applications of Space-Filling-Curves to Cartesian Methods for CFD

    Michael J. Aftosmis;Marsha J. Berger;Scott M. Murman

  • 3D applications of a Cartesian grid Euler method

    John E. Melton;Marsha J. Berger;Michael J. Aftosmis;Michael D. Wong

  • Progress Towards a Cartesian Cut-Cell Method for Viscous Compressible Flow

    Marsha J. Berger;Michael J. Aftosmis

Frequent Co-Authors

Michael J. Aftosmis
Michael J. Aftosmis Ames Research Center
Randall J. LeVeque
Randall J. LeVeque University of Washington
Antony Jameson
Antony Jameson Texas A&M University
Gediminas Adomavicius
Gediminas Adomavicius University of Minnesota
Rupak Biswas
Rupak Biswas Ames Research Center
I. M. Navon
I. M. Navon Florida State University
Charles S. Peskin
Charles S. Peskin Courant Institute of Mathematical Sciences
John B. Bell
John B. Bell Lawrence Berkeley National Laboratory
Xiaolei Zou
Xiaolei Zou Nanjing University of Information Science and Technology
Isidore Rigoutsos
Isidore Rigoutsos Thomas Jefferson University

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