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From the 1 of 300 papers with an AI index.

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20022023
most citedQuantum ESPRESSO: a modular and open-source software project for quantum simulations of materials

29.3k citations

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15 papers · 1 filter

math.AP20209 cited

A critical blow-up exponent for flux limitation in a Keller-Segel system

Michael Winkler

The parabolic-elliptic cross-diffusion system \[ \left\{ \begin{array}{l} u_t = Δu - \nabla \cdot \Big(uf(|\nabla v|^2) \nabla v \Big), \\[1mm] 0 = Δv - μ+ u, \qquad \int_Ωv=0, \qq…

math.AP2020

Conditional estimates in three-dimensional chemotaxis-Stokes systems and application to a Keller-Segel-fluid model accounting for gradient-dependent flux limitation

Michael Winkler

This manuscript deals with the three-dimensional version of a flux-limited Keller-Segel system coupled to the incompressible Stokes equations through transport and buoyancy. The ma…

math.AP20202 cited

Immediate smoothing and global solutions for initial data in in a Keller-Segel system with logistic terms in 2D

Johannes Lankeit

This article deals with the logistic Keller-Segel model \[ \begin{cases} u_t = Δu - χ\nabla\cdot(u\nabla v) + κu - μu^2, \\ \\ v_t = Δv - v + u \end{cases} \] in bounded two-dimens…

math.AP20193 cited

Stationary solutions to a chemotaxis-consumption model with realistic boundary conditions

Marcel Braukhoff, Johannes Lankeit

Previous studies of chemotaxis models with consumption of the chemoattractant (with or without fluid) have not been successful in explaining pattern formation even in the simplest…

math.AP20192 cited

Continuation beyond interior gradient blow-up in a semilinear parabolic equation

Marek Fila, Johannes Lankeit

It is known that there is a class of semilinear parabolic equations for which interior gradient blow-up (in finite time) occurs for some solutions. We construct a continuation of s…

math.AP2019

Analysis of a one-dimensional forager-exploiter model

Youshan Tao, Michael Winkler

\begin{abstract} \noindent % We consider the one-dimensional parabolic system The system \bas \left\{ \begin{array}{l} u_t= u_{xx} - χ_1 (uw_x)_x, \\[1mm] v_t = v_{xx} - χ_2 (vu_x)…