scispace - formally typeset
M

Milan Miklavčič

Researcher at Michigan State University

Publications -  37
Citations -  1344

Milan Miklavčič is an academic researcher from Michigan State University. The author has contributed to research in topics: Partial differential equation & Eigenvalues and eigenvectors. The author has an hindex of 14, co-authored 36 publications receiving 1201 citations. Previous affiliations of Milan Miklavčič include Virginia Tech & University of Ljubljana.

Papers
More filters
Journal ArticleDOI

Viscous flow due to a shrinking sheet

TL;DR: In this paper, the viscous flow induced by a shrinking sheet is studied and its existence and uniqueness are proved. Exact solutions, both numerical and in closed form, are found.
Journal ArticleDOI

The flow due to a rough rotating disk

TL;DR: In this paper, a rotating disk in an infinite viscous fluid is extended to the case where the disk surface admits partial slip and the nonlinear similarity equations are integrated accurately for the full range of slip coefficients.
Book

Applied Functional Analysis and Partial Differential Equations

TL;DR: Linear operators in Banach spaces linear operators in Hilbert spaces Sobolev spaces semigroups of linear operators weakly nonlinear evolution equations semilinear parabolic equations as mentioned in this paper.
Journal ArticleDOI

A sharp condition for existence of an inertial manifold

TL;DR: In this article, it was shown that a perturbation argument that guarantees persistence of inertial (invariant and exponentially attracting) manifolds for linear perturbations of linear evolution equations applies also when the perturbance is nonlinear.
Journal ArticleDOI

Optimal overlap length in staggered architecture composites under dynamic loading conditions

TL;DR: In this paper, an analytical approach to predict lap-joint strength of hybrid staggered composites has been proposed to predict the critical overlap length for three natural composites-nacre, spider-silk and collagen in bone/tendon, and showed reasonable agreement with experimental data.