Results 121 to 130 of about 19,366 (302)

ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models [PDF]

, 2022
Francesco Martinuzzi, Christopher Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora   +4 more
openalex   +1 more source

Triblock Polymer Engineering Enables Hydration‐Rich, High‐Performance, Fouling‐Resistant Interfaces

Advanced Functional Materials, EarlyView.
A molecularly engineered triblock polymer (PHZ) rapidly reorganizes into a hydration‐rich interfacial layer on diverse surfaces, strongly suppressing hydrophobic attraction and fouling. The triblock polymer provides robust energy and steric barriers to oily foulants, enabling high‐performance antifouling at ultralow dosage.
Chenyu Qiao, Ziqian Zhao, Yueying Huang, Yongxiang Sun, Genglin Li, Xuguang Song, Hongbo Zeng   +6 more
wiley   +1 more source

Controlling dynamical systems to complex target states using machine learning: next-generation vs. classical reservoir computing [PDF]

, 2023
Alexander Haluszczynski, Daniel Köglmayr, Christoph Räth   +2 more
openalex   +1 more source

Metal–Organic Frameworks for Gaseous Pollutant Management: From Capture to Neutralization and Reutilization

Advanced Functional Materials, EarlyView.
This review maps how MOFs can manage hazardous gases by combining adsorption, neutralization, and reutilization, enabling sustainable air‐pollution control. Covering chemical warfare agent simulants, SO2, NOx, NH3, H2S, and volatile organic compounds, it highlights structure‐guided strategies that boost selectivity, water tolerance, and cycling ...
Yuanmeng Tian, Zeyu Tao, Kaikai Ma, Xiaoliang Wang, Bo Yu, Yiu Wan Yip, Zhijie Chen, Jin Shang, Bin Fei   +8 more
wiley   +1 more source

Emerging opportunities and challenges for the future of reservoir computing

Nature Communications
Reservoir computing originates in the early 2000s, the core idea being to utilize dynamical systems as reservoirs (nonlinear generalizations of standard bases) to adaptively learn spatiotemporal features and hidden patterns in complex time series.
Min Yan, Can Huang, Peter Bienstman, Peter Tino, Wei Lin, Jie Sun   +5 more
doaj   +1 more source

Amyloidogenic Peptide Fragments Designed From Bacterial Collagen‐like Proteins Form Hydrogel

Advanced Functional Materials, EarlyView.
This study identified amyloidogenic sequence motifs in bacterial collagen‐like proteins and exploited these to design peptides that self‐assemble into β‐sheet fibers and form hydrogels. One hydrogel supported healthy fibroblast growth, showing promise for biocompatible materials. Our work demonstrates that bacterial sequences can be harnessed to create
Vamika Sagar, Xuen J Ng, Lukas Lechel, Ashish Chand Rajwar, Hendrik Bargel, Abhishek A. Jalan   +5 more
wiley   +1 more source

3D-integrated multilayered physical reservoir array for learning and forecasting time-series information

Nature Communications
A wide reservoir computing system is an advanced architecture composed of multiple reservoir layers in parallel, which enables more complex and diverse internal dynamics for multiple time-series information processing.
Sanghyeon Choi, Jaeho Shin, Gwanyeong Park, Jung Sun Eo, Jingon Jang, J. Joshua Yang, Gunuk Wang   +6 more
doaj   +1 more source

Experimental Demonstration of Optoelectronic Equalization for Short-reach Transmission with Reservoir Computing [PDF]

, 2020
Stenio M. Ranzini, Roman Dischler, Francesco Da Ros, Henning Buelow, Darko Zibar   +4 more
openalex   +1 more source

Geometrically Tunable Scaffold‐Free Muscle Bioconstructs for Treating Volumetric Muscle Loss

Advanced Healthcare Materials, EarlyView.
Volumetric muscle loss is associated with traumatic muscle resulting in permanent functional impairment. Mold‐based, scaffold‐free, high‐density muscle tissue bioconstructs are developed in customizable geometric shapes and sizes. The transplanted rectangular solid‐shaped muscle bioconstructs improved muscle force recovery and tissue regeneration in ...
Bugra Ayan, Gaoxian Chen, Ishita Jain, Sha Chen, Gladys Chiang, Caroline Hu, Renato Reyes, Beu P. Oropeza, Ngan F. Huang   +8 more
wiley   +1 more source

Modular Platform for Rapidly Investigating Long‐Distance Propagation of Human Neural Network Activity

Advanced Healthcare Materials, EarlyView.
This study presents the first human neural organoid culture model capable of rapidly exhibiting long‐distance neural network propagation, thus delivering a system to experimentally investigate large‐scale communication during normal and diseased states.
Megh Dipak Patel, Sailee Sham Lavekar, Ronak Jaisalmeria, Suki Oji, Jazmine Jayasi, Caroline Cvetkovic, Robert Krencik   +6 more
wiley   +1 more source