Results 111 to 120 of about 13,594 (294)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Measurements of the Sound Absorption Coefficient of Auditorium Seats for Various Geometries of the Samples

Archives of Acoustics, 2013
This paper presents the results of measurements of the sound absorption coefficient of auditorium seats carried out in the laboratory using two methods.
Jarosław RUBACHA, Adam PILCH, Marcin ZASTAWNIK   +2 more
doaj  

Estimation of sound absorption coefficient at modal frequencies using decay time measurements and eigenvalue model in a small room [PDF]

Luka Čurović, Jure Murovec, Anže Železnik, Jurij Prezelj   +3 more
openalex   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

613 Study of Sound Absorbing Materials using Biomass : Measurement of Oblique Incidence Absorption Coefficient of Rice Straw using Acoustic Particle Velocity Sensor

, 2016
Taisei TSURUMAKI, Shuichi Sakamoto, Kouhei Fujisawa   +2 more
openalex   +1 more source

Theoretical Estimation and Experiment of the Sound Absorption Coefficient about Pin Holder Structure

, 2020
Shunsuke Unai, Shuichi Sakamoto, Takamasa Sato, Takunari Isobe, Kenta Iizuka   +4 more
openalex   +1 more source

Versatile Standing Wave Generation Between Arbitrarily Oriented Surfaces Using Acoustic Metasurface Deflectors and Retroreflectors

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel method for generating versatile standing wave fields using an acoustic metasurface deflector and retroreflector is introduced. By overcoming traditional constraints of parallel surfaces, the approach enables customizable wave patterns and enhances applications in particle manipulation.
Chadi Ellouzi, Farhood Aghdasi, Ali Zabihi, Amir K. Miri, Chen Shen   +4 more
wiley   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Sound Absorption Coefficient in Natural Flax Fibers

, 2010
There are two methods of measuring the amounts of sound absorbed by various materials. One is the reverberation method, in which a specimen of the material to be tested is mounted on the walls of a reverberation chamber and the coefficient of absorption is deduced from the effect, which the presence of the specimen has on the rate of decay of sound in ...
openaire   +2 more sources