Paweł Dłotko
Paweł Dłotko
Dioscuri Centre in Topological Data Analysis, Institute of Mathematics, Polish Academy of Sciences
Verified email at - Homepage
Cited by
Cited by
Cliques of neurons bound into cavities provide a missing link between structure and function
MW Reimann, M Nolte, M Scolamiero, K Turner, R Perin, G Chindemi, ...
Frontiers in computational neuroscience 11, 48, 2017
A persistence landscapes toolbox for topological statistics
P Bubenik, P Dłotko
Journal of Symbolic Computation 78, 91-114, 2017
Quantifying similarity of pore-geometry in nanoporous materials
Y Lee, SD Barthel, P Dłotko, SM Moosavi, K Hess, B Smit
Nature communications 8 (1), 1-8, 2017
A topological representation of branching neuronal morphologies
L Kanari, P Dłotko, M Scolamiero, R Levi, J Shillcock, K Hess, H Markram
Neuroinformatics 16 (1), 3-13, 2018
Distributed computation of coverage in sensor networks by homological methods
P Dłotko, R Ghrist, M Juda, M Mrozek
Applicable Algebra in Engineering, Communication and Computing 23 (1-2), 29-58, 2012
Computational topology in text mining
H Wagner, P Dłotko, M Mrozek
Computational Topology in Image Context, 68-78, 2012
The efficiency of a homology algorithm based on discrete Morse theory and coreductions
S Harker, K Mischaikow, M Mrozek, V Nanda, H Wagner, M Juda, ...
Image-A: Applicable Mathematics in Image Engineering, 1 (1), 41-48, 2010
Automatic generation of cuts on large-sized meshes for the T–Ω geometric eddy-current formulation
P Dłotko, R Specogna, F Trevisan
Computer Methods in Applied Mechanics and Engineering 198 (47-48), 3765-3781, 2009
Coreduction homology algorithm for regular CW-complexes
P Dłotko, T Kaczynski, M Mrozek, T Wanner
Discrete & Computational Geometry 46 (2), 361-388, 2011
Efficient cohomology computation for electromagnetic modeling
P Dlotko, R Specogna
Computer Modeling in Engineering and Sciences (CMES) 60 (3), 247, 2010
High-throughput screening approach for nanoporous materials genome using topological data analysis: application to zeolites
Y Lee, SD Barthel, P Dłotko, SM Moosavi, K Hess, B Smit
Journal of chemical theory and computation 14 (8), 4427-4437, 2018
Physics inspired algorithms for (co) homology computations of three-dimensional combinatorial manifolds with boundary
P Dłotko, R Specogna
Computer Physics Communications 184 (10), 2257-2266, 2013
Simplification of complexes of persistent homology computations
P Dłotko, H Wagner
Homology, Homotopy and Applications 16 (1), 49-63, 2014
Topological microstructure analysis using persistence landscapes
P Dłotko, T Wanner
Physica D: Nonlinear Phenomena 334, 60-81, 2016
Cohomology in 3D magneto-quasistatics modeling
P Dłotko, R Specogna
Communications in Computational Physics 14 (1), 48-76, 2013
Efficient generalized source field computation for h-oriented magnetostatic formulations
P Dłotko, R Specogna
The European Physical Journal Applied Physics 53 (2), 20801, 2011
Critical analysis of the spanning tree techniques
PŁ DŁotko, R Specogna
SIAM Journal on Numerical Analysis 48 (4), 1601-1624, 2010
Lazy cohomology generators: A breakthrough in (co) homology computations for CEM
P Dłotko, R Specogna
IEEE transactions on magnetics 50 (2), 577-580, 2014
Computing fundamental groups from point clouds
P Brendel, P Dłotko, G Ellis, M Juda, M Mrozek
Applicable Algebra in Engineering, Communication and Computing 26 (1-2), 27-48, 2015
A novel technique for cohomology computations in engineering practice
P Dłotko, R Specogna
Computer Methods in Applied Mechanics and Engineering 253, 530-542, 2013
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