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Dive into the research topics where Mikhail Stepanov is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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ON RUNGE–KUTTA METHODS OF ORDER 10∗
Stepanov, M., 2025, In: Electronic Transactions on Numerical Analysis. 63, p. 609-626 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Lagrangian large eddy simulations via physics-informed machine learning
Tian, Y., Woodward, M., Stepanov, M., Fryer, C., Hyett, C., Livescu, D. & Chertkov, M., 2023, In: Proceedings of the National Academy of Sciences of the United States of America. 120, 34, e2213638120.Research output: Contribution to journal › Article › peer-review
Open Access13 Link opens in a new tab Scopus citations -
Physics-informed machine learning with smoothed particle hydrodynamics: Hierarchy of reduced Lagrangian models of turbulence
Woodward, M., Tian, Y., Hyett, C., Fryer, C., Stepanov, M., Livescu, D. & Chertkov, M., May 2023, In: Physical Review Fluids. 8, 5, 054602.Research output: Contribution to journal › Article › peer-review
9 Link opens in a new tab Scopus citations -
Embedded (4, 5) pairs of explicit 7-stage Runge–Kutta methods with FSAL property
Stepanov, M., Nov 2022, In: Calcolo. 59, 4, 41.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations -
Analysis of spatial correlations in a model two-dimensional liquid through eigenvalues and eigenvectors of atomic-level stress matrices
Levashov, V. A. & Stepanov, M. G., Jan 8 2016, In: Physical Review E. 93, 1, 012602.Research output: Contribution to journal › Article › peer-review
Open Access5 Link opens in a new tab Scopus citations