Results 151 to 160 of about 426,517 (268)

Microwave Absorption for Detection of Dirac Fermions in SnTe Films

Advanced Materials Interfaces, EarlyView.
Microwave absorption can detect Dirac fermions in samples exposed to the atmosphere. Results showed that although topological surface states are robust against environmental degradation, they are not detectable by electrical transport measurements. Hence, microwave absorption can detect Dirac fermions even in samples whose surfaces have deteriorated ...
Wellington P. do Prado, Jorge A. Navarro‐Giraldo, Muhammad Tahsin, Vinicius T. Santana, Eduardo Abramof, Paulo H. O. Rappl, Suelen de Castro, Marcelos L. Peres, Petr Neugebauer   +8 more
wiley   +1 more source

Topological data analysis and topological deep learning beyond persistent homology: a review. [PDF]

Artif Intell Rev
Su Z, Liu X, Hamdan LB, Maroulas V, Wu J, Carlsson G, Wei GW, Wei GW.   +7 more
europepmc   +1 more source

Topological Point Defects in SmC* Liquid Crystals Under Mechanical Disturbance

Advanced Materials Interfaces, EarlyView.
Tangetial air jet shear inducess island formation and nucleates topological point defects in uniform SmC films. Island bounded by edge dislocation loops shrink and transform into isolated point defects under continued shear. Mechanical perturbatio provides a controllable route for defect engineering in smectric liquid crystal thin films.
Gunganist Kongklad, Vandana Molahalli, Apichart Pattanaporkratana, Nattaporn Chattham   +3 more
wiley   +1 more source

Topological Data Analysis for Unsupervised Feature Selection in Large Scale Spatial Omics Data Sets. [PDF]

Bull Math Biol
Boyle J, Hamm G, Williams E, Hartman RJ, Söderburg M, Henry I, Casey M.   +6 more
europepmc   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

A Review of Topological Data Analysis and Topological Deep Learning in Molecular Sciences. [PDF]

J Chem Inf Model
Wee J, Jiang J.
europepmc   +1 more source

Topological data analysis expands the genotype to phenotype map for 3D maize root system architecture. [PDF]

Front Plant Sci, 2023
Li M, Liu Z, Jiang N, Laws B, Tiskevich C, Moose SP, Topp CN.   +6 more
europepmc   +1 more source

Topological Data Analysis

The Brain & Neural Networks, 2016
openaire   +2 more sources

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source