World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8022
World Ranking
6879
National Ranking
3015

Overview

Adrian Sandu is affiliated with Virginia Tech in the United States and has a research focus concentrated in the field of Engineering. Their work spans several subfields including Numerical Analysis, Atmospheric Science, Computational Mechanics, Statistical and Nonlinear Physics, and Global and Planetary Change.

The primary topics addressed in their research include numerical methods for differential equations, model reduction and neural networks, meteorological phenomena and simulations, advanced numerical methods in computational mathematics, climate variability and models, dynamics and control of mechanical systems, as well as electromagnetic simulation and numerical methods.

Sandu's recent publications cover a variety of themes within computational science and atmospheric modeling. Selected recent papers include:

  • Machine learning based algorithms for uncertainty quantification in numerical weather prediction models, 2021, Journal of Computational Science
  • An Adaptive Auto-Reduction Solver for Speeding Up Integration of Chemical Kinetics in Atmospheric Chemistry Models: Implementation and Evaluation in the Kinetic Pre-Processor (KPP) Version 3.0.0, 2023, Journal of Advances in Modeling Earth Systems
  • Evaluating oil and gas contributions to ambient nonmethane hydrocarbon mixing ratios and ozone-related metrics in the Colorado Front Range, 2020, Atmospheric Environment
  • Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation, 2021, arXiv (Cornell University)
  • Adjoint sensitivity index-3 augmented Lagrangian formulation with projections, 2021, Mechanics Based Design of Structures and Machines

Frequent co-authors in Sandu's publications include:

  • Andrey A. Popov
  • Arash Sarshar
  • Amit N. Subrahmanya
  • Corina Sandu
  • Steven Roberts

The scientific venues where Sandu most commonly publishes are:

  • arXiv (Cornell University)
  • SIAM Journal on Scientific Computing
  • Mechanics Based Design of Structures and Machines
  • Multibody System Dynamics
  • Applied Numerical Mathematics

Sandu's research contributions provide cross-disciplinary insights that intersect computational mathematics with atmospheric and mechanical systems. This integration reflects the broad application of numerical and model reduction methods in diverse scientific domains.

Best Publications

  • The kinetic preprocessor KPP*/a software environment for solving chemical kinetics

    Valeriu Damian;Adrian Sandu;Mirela Damian;Florian Potra

  • Benchmarking stiff ode solvers for atmospheric chemistry problems II: Rosenbrock solvers

    A. Sandu;Jan Verwer;Joke Blom;E.J. Spee

  • Technical note: Simulating chemical systems in Fortran90 and Matlab with the Kinetic PreProcessor KPP-2.1

    Adrian Sandu;Rolf Sander

  • Adjoint sensitivity analysis of regional air quality models

    Adrian Sandu;Dacian N. Daescu;Gregory R. Carmichael;Tianfeng Chai

  • Modeling Multibody Systems with Uncertainties. Part I: Theoretical and Computational Aspects

    Adrian Sandu;Corina Sandu;Mehdi Ahmadian

  • Direct and adjoint sensitivity analysis of chemical kinetic systems with KPP: Part I—theory and software tools

    Adrian Sandu;Dacian N. Daescu;Gregory R. Carmichael

  • Benchmarking stiff ode solvers for atmospheric chemistry problems-I. implicit vs explicit

    A. Sandu;J.G. Verwer;M. Van Loon;G.R. Carmichael

  • The atmospheric chemistry box model CAABA/MECCA-3.0

    Rolf Sander;Andreas Baumgaertner;Sergey Gromov;Hartwig Harder

  • Predicting air quality: Improvements through advanced methods to integrate models and measurements

    Gregory R. Carmichael;Adrian Sandu;Tianfeng Chai;Dacian N. Daescu

  • Multirate Timestepping Methods for Hyperbolic Conservation Laws

    Emil M. Constantinescu;Adrian Sandu

  • The adjoint of CMAQ.

    Amir Hakami;Daven K. Henze;John H. Seinfeld;Kumaresh Singh

  • Ensemble-based chemical data assimilation. I: General approach

    Emil M. Constantinescu;Adrian Sandu;Tianfeng Chai;Gregory R. Carmichael

  • Chemical Data Assimilation—An Overview

    Adrian Sandu;Tianfeng Chai

  • Direct and adjoint sensitivity analysis of chemical kinetic systems with KPP: II—numerical validation and applications

    Dacian N. Daescu;Adrian Sandu;Gregory R. Carmichael

  • A Polynomial Chaos-Based Kalman Filter Approach for Parameter Estimation of Mechanical Systems

    Emmanuel D. Blanchard;Adrian Sandu;Corina Sandu

  • Comparison of POD reduced order strategies for the nonlinear 2D shallow water equations

    Razvan Stefanescu;Adrian Sandu;Ionel Michael Navon

  • POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation

    R. Ştefănescu;A. Sandu;I.M. Navon

  • Adjoint Sensitivity Analysis of Ozone Nonattainment over the Continental United States

    Amir Hakami;John H. Seinfeld;Tianfeng Chai;Youhua Tang

  • Masking Resonance Artifacts in Force-Splitting Methods for Biomolecular Simulations by Extrapolative Langevin Dynamics

    Adrian Sandu;Tamar Schlick

  • Multirate generalized additive Runge Kutta methods

    Michael Günther;Adrian Sandu

  • Propagating Uncertainty in Power System Dynamic Simulations Using Polynomial Chaos

    Yijun Xu;Lamine Mili;Adrian Sandu;Michael R. von Spakovsky

  • Efficient Implementation of Fully Implicit Methods for Atmospheric Chemical Kinetics

    A. Sandu;F.A. Potra;G.R. Carmichael;V. Damian

  • Benchmarking Stiff ODE Solvers for Atmospheric Chemistry Problems I: Implicit versus Explicit

    A. Sandu;J.G. Verwer;M. van Loon;G.R. Carmichael

Frequent Co-Authors

Gregory R. Carmichael
Gregory R. Carmichael University of Iowa
Daven K. Henze
Daven K. Henze University of Colorado Boulder
Youhua Tang
Youhua Tang George Mason University
Kevin W. Bowman
Kevin W. Bowman California Institute of Technology
John H. Seinfeld
John H. Seinfeld California Institute of Technology
Armistead G. Russell
Armistead G. Russell Georgia Institute of Technology
Robert W. Pinder
Robert W. Pinder Environmental Protection Agency
Jesse O. Bash
Jesse O. Bash Environmental Protection Agency
Charles O. Stanier
Charles O. Stanier University of Iowa
Athanasios Nenes
Athanasios Nenes École Polytechnique Fédérale de Lausanne

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