Adam Larios

Adam Larios

University of Nebraska-Lincoln

H-index: 20

North America-United States

About Adam Larios

Adam Larios, With an exceptional h-index of 20 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Nebraska-Lincoln, specializes in the field of Fluid Dynamics, Partial DIfferential Equations, Scientific Computation.

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

A Note on Explicit Convergence Rates of Nonlocal Peridynamic Operators in -Norm

Remarks on the stabilization of large-scale growth in the 2D Kuramoto-Sivashinsky equation

Super-Exponential Convergence Rate of a Nonlinear Continuous Data Assimilation Algorithm: The 2D Navier–Stokes Equation Paradigm

Application of continuous data assimilation in high-resolution ocean modeling

Nonlinear continuous data assimilation

Continuous Data Assimilation for the 3D and Higher-Dimensional Navier--Stokes equations with Higher-Order Fractional Diffusion

Systems, methods, and media for more efficient peridynamic modeling of bounded domains

Calmed 3D Navier-Stokes Equations: Global Well-Posedness, Energy Identities, Global Attractors, and Convergence

Adam Larios Information

University

Position

___

Citations(all)

918

Citations(since 2020)

662

Cited By

445

hIndex(all)

20

hIndex(since 2020)

18

i10Index(all)

25

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Adam Larios Skills & Research Interests

Fluid Dynamics

Partial DIfferential Equations

Scientific Computation

Top articles of Adam Larios

Title

Journal

Author(s)

Publication Date

A Note on Explicit Convergence Rates of Nonlocal Peridynamic Operators in -Norm

arXiv preprint arXiv:2402.16303

Adam Larios

Isabel Safarik

2024/2/26

Remarks on the stabilization of large-scale growth in the 2D Kuramoto-Sivashinsky equation

arXiv preprint arXiv:2401.04888

Adam Larios

Vincent R Martinez

2024/1/10

Super-Exponential Convergence Rate of a Nonlinear Continuous Data Assimilation Algorithm: The 2D Navier–Stokes Equation Paradigm

Journal of Nonlinear Science

Elizabeth Carlson

Adam Larios

Edriss S Titi

2024/4

Application of continuous data assimilation in high-resolution ocean modeling

arXiv preprint arXiv:2308.02705

Adam Larios

Mark R Petersen

Collin Victor

2023/8/4

Nonlinear continuous data assimilation

arXiv preprint arXiv:1703.03546

Adam Larios

Yuan Pei

2017/3/10

Continuous Data Assimilation for the 3D and Higher-Dimensional Navier--Stokes equations with Higher-Order Fractional Diffusion

arXiv preprint arXiv:2307.00096

Adam Larios

Collin Victor

2023/6/30

Systems, methods, and media for more efficient peridynamic modeling of bounded domains

2023/5/4

Calmed 3D Navier-Stokes Equations: Global Well-Posedness, Energy Identities, Global Attractors, and Convergence

arXiv preprint arXiv:2312.17371

Matthew Enlow

Adam Larios

Jiahong Wu

2023/12/28

Algebraic calming for the 2D Kuramoto-Sivashinsky equations

arXiv preprint arXiv:2304.10493

Matthew Enlow

Adam Larios

Jiahong Wu

2023/4/20

Moving interfaces in peridynamic diffusion models and the influence of discontinuous initial conditions: Numerical stability and convergence

Computers & Mathematics with Applications

Francesco Scabbia

Claudia Gasparrini

Mirco Zaccariotto

Ugo Galvanetto

Adam Larios

...

2023/12/1

The second-best way to do sparse-in-time continuous data assimilation: Improving convergence rates for the 2D and 3D Navier-Stokes equations

arXiv preprint arXiv:2303.03495

Adam Larios

Yuan Pei

Collin Victor

2023/3/6

Real-time parameter recovery from partial observations.

Bulletin of the American Physical Society

Jared Whitehead

Joshua Newey

Adam Larios

Benjamin Pachev

Aseel Farhat

...

2023/11/19

Identifying the body force from partial observations of a 2D incompressible velocity field

arXiv preprint arXiv:2302.04701

Aseel Farhat

Adam Larios

Vincent R Martinez

Jared P Whitehead

2023/2/9

The bleeps, the sweeps, and the creeps: Convergence rates for dynamic observer patterns via data assimilation for the 2D Navier–Stokes equations

Computer Methods in Applied Mechanics and Engineering

Trenton Franz

Adam Larios

Collin Victor

2022/3/15

A general and fast convolution-based method for peridynamics: applications to elasticity and brittle fracture

Computer Methods in Applied Mechanics and Engineering

Siavash Jafarzadeh

Farzaneh Mousavi

Adam Larios

Florin Bobaru

2022/3/15

Regularity criteria for the Kuramoto–Sivashinsky equation in dimensions two and three

Journal of Nonlinear Science

Adam Larios

Mohammad Mahabubur Rahman

Kazuo Yamazaki

2022/12

Exploring a new computationally efficient data assimilation algorithm for ocean models

Authorea Preprints

Elizabeth Carlson

Luke P Van Roekel

Humberto C Godinez

Mark R Petersen

Adam Larios

2022/11/22

Relax, then Punch: Recovering the body force from partial observations of the velocity field.

Bulletin of the American Physical Society

Jared Whitehead

Aseel Farhat

Adam Larios

Vincent Martinez

2022/11/20

Construction of a peridynamic model for viscous flow

Journal of Computational Physics

Jiangming Zhao

Adam Larios

Florin Bobaru

2022/11/1

A fast convolution-based method for peridynamic transient diffusion in arbitrary domains

Computer Methods in Applied Mechanics and Engineering

Siavash Jafarzadeh

Longzhen Wang

Adam Larios

Florin Bobaru

2021/3/1

See List of Professors in Adam Larios University(University of Nebraska-Lincoln)