Results 141 to 150 of about 7,249,127 (302)

Towards Analysis of Multivariate Time Series Using Topological Data Analysis

Mathematics
Topological data analysis (TDA) has proven to be a potent approach for extracting intricate topological structures from complex and high-dimensional data.
Jingyi Zheng, Ziqin Feng, Arne D. Ekstrom   +2 more
doaj   +1 more source

Research on Portfolio Construction Based on Topological Structure Features [PDF]

Jisuanji kexue
In recent years,the application of topological data analysis(TDA) in the financial field has gradually demonstrated its value.TDA,through methods such as persistent homology,constructing complexes that effectively quantify the shape of data,facilitating ...
LI Ruiyang, LI Shuyi, YANG Yuexi, PENG Chuhan, XING Jingyu, QIAO Gaoxiu
doaj   +1 more source

Optimal rates of convergence for persistence diagrams in Topological Data Analysis

, 2013
Computational topology has recently known an important development toward data analysis, giving birth to the field of topological data analysis. Topological persistence, or persistent homology, appears as a fundamental tool in this field.
Chazal, Frédéric, Glisse, Marc, Labruère, Catherine, Michel, Bertrand   +3 more
core   +1 more source

Joint Control of Radiated and Surface Waves via Space‐Time Coding Metasurfaces

Advanced Functional Materials, EarlyView.
A unified space‐time coding metasurface platform enables simultaneous control of radiated and surface‐confined waves across multiple harmonics. Demonstrated functionalities include multi‐frequency beam shaping; surface‐wave excitation, and hybrid multiplexing.
Zihao Dai, Yi Ning Zheng, Lei Zhang, Xiao Qing Chen, Giuseppe Castaldi, Tie Jun Cui, Vincenzo Galdi   +6 more
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Mechanotransducing Organic Electrochemical Diode for Crosstalk‐Inhibited Artificial Skin

Advanced Functional Materials, EarlyView.
An innovative approach is presented to a stretchable mechanotransducing diode that unifies rectification and tactile‐sensing functionality. This approach enables to fabricate the diode that maintains a large rectification ratio (5 × 102) at a high operational frequency (100 Hz).
Taeyeong Kim, Seunggoo Baek, Garrett Lecroy, Hyeongseok Choi, Wonjeong Suh, Woosung Cho, Alberto Salleo, Unyong Jeong   +7 more
wiley   +1 more source

Colloidal Crack Sintering Lithography for Light‐Induced Patterning of Particle Assemblies

Advanced Functional Materials, EarlyView.
Colloidal crack sintering lithography (CCSL) is a microfabrication technique that uses light‐induced photothermal heating to trigger sintering and controlled cracking in polymer colloidal assemblies. Local structural changes generate microchannels and patterns, enabling direct writing of diverse topographic motifs.
Marius Schoettle, Ariane V. Mader, Willem L. Noorduin   +2 more
wiley   +1 more source