Results 91 to 100 of about 136,965 (253)

Synergistic Integration of Liquid Crystalline Ordering and Dynamic Networks for Ultrarobust Bismaleimide Vitrimers

Advanced Functional Materials, EarlyView.
A liquid‐crystalline bismaleimide vitrimer integrates local mesogenic organization with exchange‐active ester connectivity, achieving a glass‐transition temperature near 300°C while remaining reprocessable. Stress‐relaxation analysis and temperature‐dependent remolding reveal how segmental mobility, network rearrangement, and structural integrity ...
Woohyeon Kwon, Van‐Kien Hoang, Kyosun Ku, Hyeonuk Yeo   +3 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

Acetoacetates Derived From Vegetable Oils: A Platform for Tailor‐Made Vinylogous Urethane Foams

Advanced Functional Materials, EarlyView.
A renewable vegetable oil is converted into acetoacetate‐functionalized precursors for the preparation of catalyst‐free vinylogous urethane foams. Room‐temperature foaming with n‐pentane generates lightweight cellular materials, while the choice of amine enables control over foam structure and mechanical properties.
Krzysztof Polaczek, Priscilla de Souza Lima, Olga Gotkiewicz, Ondrej Kopilec, Radka Hobzova, Lívia Kanizsová, Mikelis Kirpluks, Ondrej Sedlacek, Hynek Beneš   +8 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

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

Advanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto, Javier Zamudio‐García, Abraham Sánchez‐Caballero, David Marrero‐López, Vincenzo Esposito   +4 more
wiley   +1 more source

On the Topological Data Analysis extensions and comparisons

Journal of the Egyptian Mathematical Society, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alaa, H. N., Mohamed, S. A.
openaire   +2 more sources

Ground‐State Charge‐Transfer Doping in Donor–Acceptor Semiconducting Polymers

Advanced Functional Materials, EarlyView.
This work demonstrates controlled ground‐state charge‐transfer complex formation (GS‐CTC) and doping in a series of diketopyrrolopyrrole‐based donor–acceptor semiconducting polymers paired with a π‐conjugated penta‐t‐butylpentacyanopentabenzo[25]annulene “cyanostar” macrocycle. Complementary experimental techniques show how subtle molecular, electronic,
Tanner L. Smith, Akshay N. Shah, Tanya A. Balandin, Michel De Keersmaecker, Paramasivam Mahalingam, Debapriya Gupta, Siqi Yu, Eui Hyun Suh, Pushkar Dalal, Erin L. Ratcliff, Scott P. O. Danielsen, Tse Nga Ng, Amar H. Flood, Jason D. Azoulay   +13 more
wiley   +1 more source

Topological Machine Learning for Raman Spectroscopy: Perspectives for Pancreatic Diseases

Proceedings
The analysis of tissue samples from 17 subjects clinically diagnosed with chronic pancreatitis, ductal adenocarcinoma, or classified as controls has been collected and analyzed by Raman spectroscopy (RS).
Francesco Conti, Gianmarco Lazzini, Raffaele Gaeta, Luca Emanuele Pollina, Annalisa Comandatore, Niccolò Furbetta, Luca Morelli, Mario D’Acunto, Davide Moroni, Maria Antonietta Pascali   +9 more
doaj   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source

Nano Borophene as a Programmable 2D Scaffold for Organized DNA Assembly and Long‐Range Energy Transfer

Advanced Functional Materials, EarlyView.
Borophene is introduced as a programmable 2D bio‐interface that organizes DNA through dual boron–sulfur and nucleobase interactions. This molecular architecture enables efficient long‐range nanosurface energy transfer, establishing new design principles for functional nano–bio interfaces and amplification‐free optical biosensing.
Teresa Aditya, Pranay Saha, John M. Sansalone, Shraddha Krishnakumar, Matthew Molinaro, André J. van der Vlies, Nada Maher, Adrienne Griffiths, Zakhro Zakirova, Ketan Dighe, Narayana R. Aluru, Dipanjan Pan   +11 more
wiley   +1 more source