Results 91 to 100 of about 426,517 (268)

Quasi‐Static to Supersonic Energy Absorption of Nanoarchitected Tubulanes and Schwarzites

Advanced Functional Materials, EarlyView.
Nanoarchitected energy‐absorptive Tubulanes exhibit record energy absorption under quasi‐static conditions and exceptional inelastic energy dissipation under 750 m s−1 ballistics impact, with high performance spanning strain rates of 12 orders of magnitude.
Peter Serles, Alianna Maguire, Thomas Butruille, Jet Lem, Shuo Yang, Pedro Guerra Demingos, Sahar Choukir, Michel Haché, Boran Kumral, Katherine Jia, Charles Jia, Yu Zou, Chandra Veer Singh, Carlos M. Portela, Jun Lou, Pulickel M. Ajayan, Tobin Filleter   +16 more
wiley   +1 more source

Trajectory Classification Through Topological Data Analysis Perspectives

IEEE Access
This paper examines the application of Topological Data Analysis (TDA) for trajectory classification, aiming to improve the interpretation of complex spatial movement patterns.
Miriam Esteve, Antonio Falco
doaj   +1 more source

Bio‐Inspired Molecular Events in Poly(Ionic Liquids)

Advanced Functional Materials, EarlyView.
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley   +1 more source

2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics

Advanced Functional Materials, EarlyView.
2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit, Yifei Yang, Shawn Li, Yu‐Chia Chen, Qi Jia, Jian‐Ping Wang   +5 more
wiley   +1 more source

Extracting Knowledge from the Geometric Shape of Social Network Data Using Topological Data Analysis

Entropy, 2017
Topological data analysis is a noble approach to extract meaningful information from high-dimensional data and is robust to noise. It is based on topology, which aims to study the geometric shape of data.
Khaled Almgren, Minkyu Kim, Jeongkyu Lee
doaj   +1 more source

Algebraic Topology for Data Analysis

, 2021
This research addresses a new tool for data analysis known as Topological Data Analysis TDA It underlies an area of Mathematics known as Combinatorial Algebra or more recently Algebraic Topology which through making strong use of Computation Statistics Probability and Topology among other concepts extracts mathematical characteristics from a set of ...
Medina, Daniel Trejo, Jimenez, Karla Sarai   +1 more
openaire   +2 more sources

Mechanoregulatory Effects of Cell‐Scale Microwells on Epithelial Cell Phenotype

Advanced Functional Materials, EarlyView.
In small polycaprolactone microwells, A549 epithelial cells span well edges, in contrast to cells growing on flat substrates. Focal adhesion sites (yellow) concentrate at topographic boundaries, while cytoskeletal tension (magenta stress fibers) is transmitted to the nucleus (blue), reducing nuclear sphericity.
Ruiwen He, Wang Sik Lee, Phattadon Yajan, Aaron Lee, Mauro Sousa de Almeida, Sandeep Keshavan, Jozef Adamcik, Céline Loussert‐Fonta, Dimitri Vanhecke, Barbara Rothen‐Rutishauser, Alke Petri‐Fink   +10 more
wiley   +1 more source

A roadmap for the computation of persistent homology

EPJ Data Science, 2017
Persistent homology (PH) is a method used in topological data analysis (TDA) to study qualitative features of data that persist across multiple scales. It is robust to perturbations of input data, independent of dimensions and coordinates, and provides a
Nina Otter, Mason A Porter, Ulrike Tillmann, Peter Grindrod, Heather A Harrington   +4 more
doaj   +1 more source

Portfolio selection via topological data analysis

Sixteenth International Conference on Machine Vision (ICMV 2023)
Portfolio management is an essential part of investment decision-making. However, traditional methods often fail to deliver reasonable performance. This problem stems from the inability of these methods to account for the unique characteristics of multivariate time series data from stock markets.
Sokerin, Petr, Kuznetsov, Kristian, Makhneva, Elizaveta, Zaytsev, Alexey   +3 more
openaire   +2 more sources

From Clinic to Computation: Multiscale Bioengineering Strategies for Durable Biological Aortic Valve Replacements

Advanced Functional Materials, EarlyView.
Bioprosthetic aortic valves have revolutionized the treatment of aortic stenosis, but their durability is limited by structural valve deterioration (SVD). This review focuses on the pericardial tissue at the heart of these valves, examining how its mechanical properties and calcification drive fatigue and failure.
Gabriele Greco, Pierfrancesco Gaziano, Serena Anglese, Simone Morganti, Carlo de Vincentiis, Ferdinando Auricchio, Michele Marino, Michele Conti   +7 more
wiley   +1 more source