Results 101 to 110 of about 426,517 (268)

Dynamic Bonds Enable Repair and Reprocessing of Glycol‐Modified PET

Advanced Functional Materials, EarlyView.
Dynamic hindered urea bonds enable rapid healing in glycol‐modified PET‐based polyurethanes. Tuning the hindered‐amine content allows these polymers to balance mechanical integrity with fast repair, achieving complete scratch disappearance in 30 s at 130°C.
Chaninya Mak‐iad, José Augusto Berrocal, Georges J. M. Formon, Christoph Weder   +3 more
wiley   +1 more source

Supervised Learning with Indefinite Topological Kernels

, 2017
Topological Data Analysis (TDA) is a recent and growing branch of statistics devoted to the study of the shape of the data. In this work we investigate the predictive power of TDA in the context of supervised learning.
Brutti, Pierpaolo, Padellini, Tullia
core  

Tailoring K+/Vacancy Disordered Layered Oxide via Charge Engineering for Stabilizing High‐Performance Potassium‐Ion Batteries

Advanced Functional Materials, EarlyView.
With a charge‐ion coupling engineering strategy, a K+/vacancy disordered K0.5Mn0.8Co0.1Ti0.1O2 material has been designed. The targeted transition metal doping disrupts charge ordering and inducing K+/vacancy disordering, thereby enabling rapid K+ diffusion through interconnected channels and a stable solid‐solution reaction mechanism.
Yongfeng Jia, Xuanpeng Wang, Jiashen Meng, Lujun Zhu, Fanjie Xia, Hong Wang, Fang Liu, Xiao Zhang, Quanquan Pang, Jian Wang, Zhitong Xiao   +10 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

Chromatic Topological Data Analysis

Exploring the shape of point configurations has been a key driver in the evolution of TDA (short for topological data analysis) since its infancy. This survey illustrates the recent efforts to broaden these ideas to model spatial interactions among multiple configurations, each distinguished by a color.
di Montesano, Sebastiano Cultrera, Draganov, Ondrej, Edelsbrunner, Herbert, Saghafian, Morteza   +3 more
openaire   +2 more sources

Omnipolar Magnetic Field Detection by Superlattice‐Based Hall Sensor

Advanced Functional Materials, EarlyView.
Magnetic‐field‐induced electronic switching is demonstrated in unit‐cell‐engineered La0.7Sr0.3MnO3–BiFeO3 superlattices. Distinct substrate terminations modify magnetic and transport properties. Hall resistance measurements show omnipolar, hysteretic anomalous Hall switching above the Curie temperature, arising from Fe─Mn interfacial exchange, enabling
Mark Huijben, Nicolas Gauquelin, Arno Annys, Zhaoliang Liao, Jo Verbeeck, Guus Rijnders, Gertjan Koster   +6 more
wiley   +1 more source

Topological data analysis in information space

, 2019
Various kinds of data are routinely represented as discrete probability distributions. Examples include text documents summarized by histograms of word occurrences and images represented as histograms of oriented gradients. Viewing a discrete probability distribution as a point in the standard simplex of the appropriate dimension, we can understand ...
Edelsbrunner, Herbert, Virk, Žiga, Wagner, Hubert   +2 more
openaire   +4 more sources

Inducing Ferromagnetism by Structural Engineering in a Strongly Spin‐Orbit Coupled Oxide

Advanced Functional Materials, EarlyView.
ABSTRACT Magnetic materials with strong spin‐orbit coupling (SOC) are essential for the advancement of spin‐orbitronic devices, as they enable efficient spin‐charge conversion, complex magnetic structures, spin‐valley physics, topological phases and other exotic phenomena.
Ji Soo Lim, Carmine Autieri, Merit Spring, Martin Kamp, Amar Fakhredine, Pavel Potapov, Daniel Wolf, Sergii Pylypenko, Axel Lubk, Johannes Schultz, Nicolas Perez, Börge Mehlhorn, Louis Veyrat, Mario Cuoco, Fadi Choueikan, Philippe Ohresser, Bernd Büchner, Giorgio Sangiovanni, Ralph Claessen, Michael Sing   +19 more
wiley   +1 more source

Algorithmic Design of Disordered Networks With Arbitrary Coordination: Application to Biophotonics

Advanced Functional Materials, EarlyView.
Predictive Design of Disordered Networks: Disordered network‐like morphologies are abundant in nature, from cytoskeletal networks to bone structures and chalcogenide glasses. These structures are naturally hard to characterize. A new algorithmic tool extends the established Wooten–Weaire–Winer (WWW) algorithm to valencies above 4.
Florin Hemmann, Vincent Glauser, Ullrich Steiner, Matthias Saba   +3 more
wiley   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source