Mikhail Itskov

According to our database, Mikhail Itskov authored at least 9 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Rediscovering the Mullins Effect With Deep Symbolic Regression.

Rasul Abdusalamov, Jendrik Weise, Mikhail Itskov

CoRR, 2024

2023

Physics-Informed Quantum Machine Learning for Solving Partial Differential Equations.

Abhishek Setty, Rasul Abdusalamov, Mikhail Itskov

CoRR, 2023

Discovering Asymptotic Expansions Using Symbolic Regression.

Rasul Abdusalamov, Julius Kaplunov, Mikhail Itskov

CoRR, 2023

2022

Automatic generation of interpretable hyperelastic material models by symbolic regression.

Rasul Abdusalamov, Markus Hillgärtner, Mikhail Itskov

CoRR, 2022

2021

Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning.

Kevin Linka, Markus Hillgärtner, Kian P. Abdolazizi, Roland C. Aydin, Mikhail Itskov, Christian J. Cyron

J. Comput. Phys., 2021

A general isogeometric finite element formulation for rotation-free shells with embedded fibers and in-plane bending.

Thang Xuan Duong, Mikhail Itskov, Roger Andrew Sauer

CoRR, 2021

A general theory for anisotropic Kirchhoff-Love shells with embedded fibers and in-plane bending.

Thang Xuan Duong, Vu Ngoc Khiêm, Mikhail Itskov, Roger Andrew Sauer

CoRR, 2021

2019

An analysis on the shear modulus of the modified Jeffreys model.

Hilbeth P. Azikri de Deus, Thales A. Barbosa Pinto Silva, Mikhail Itskov

Appl. Math. Comput., 2019

2013

A simple algorithm for the fast calculation of higher order derivatives of the inverse function.

Roozbeh Dargazany, Karl Hörnes, Mikhail Itskov

Appl. Math. Comput., 2013