Results 61 to 70 of about 7,602 (241)

Chemically Fueled Systems Chemistry Across Length Scales

Advanced Functional Materials, EarlyView.
Chemically fueled reaction cycles regulate processes through single and multiple catalytic sites on the molecular and assembly scale. This gives rise to unique kinetically controlled properties/functions like spatio‐temporal catalysis, oscillations, optical properties, and perform work.
Brigitte A. K. Kriebisch, Job Boekhoven
wiley   +1 more source

Highly-integrable analogue reservoir circuits based on a simple cycle architecture

Scientific Reports
Physical reservoir computing is a promising solution for accelerating artificial intelligence (AI) computations. Various physical systems that exhibit nonlinear and fading-memory properties have been proposed as physical reservoirs.
Yuki Abe, Kazuki Nakada, Naruki Hagiwara, Eiji Suzuki, Keita Suda, Shin-ichiro Mochizuki, Yukio Terasaki, Tomoyuki Sasaki, Tetsuya Asai   +8 more
doaj   +1 more source

Bio‐Inspired Biopolymeric Implantable Platform for Localized and Sustained Drug Delivery in Solid Tumor Treatment

Advanced Functional Materials, EarlyView.
A bio‐inspired biopolymeric implantable drug delivery platform enables localized and sustained release of 7‐ethyl‐10‐hydroxycamptothecin (SN‐38) in solid tumor treatment. The three‐dimensional (3D) structured crosslinked‐chitosan implants are fabricated via 3D‐printed molds and provide drug release over 3 months, significantly inhibiting tumor growth ...
Mercedes Lozano‐Garcia, Constantine Vogiatzis, Alejandra Planells‐Devesa, Emre Dikici, Caroline Vieira Maluf, Vasudev Vivekanand Nayak, Paulo G. Coelho, Lukasz Witek, Alicia Bilbao, Daniel Bilbao, Prasoon Mohan, Sapna Deo, Sylvia Daunert   +12 more
wiley   +1 more source

Restrictions on physical stochastic reservoir computers

Physical Review Applied
Reservoir computation is a recurrent framework for learning and predicting time series data, that benefits from extremely simple training and interpretability, often as the the dynamics of a physical system. In this paper, we will study the impact of noise on the learning capabilities of analog reservoir computers.
openaire   +2 more sources

Polarization‐Dependent Synaptic‐Like Electro‐Optical Response in Ferroelectric Nematic Liquid Crystals

Advanced Functional Materials, EarlyView.
Ferroelectric nematic liquid crystals (FNLCs) offer fast, tunable polarization and low‐voltage operation but suffer from poor polarization retention at zero field. Semiconductor‐modified FNLCs enhance polarization retention and exhibit short‐ and long‐term electro‐optical responses, while also supporting spike‐type signal integrations.
Kutay Sagdic, Weiming Yao, Danqing Liu
wiley   +1 more source

Fast physical reservoir computing, achieved with nonlinear interfered spin waves

Neuromorphic Computing and Engineering
Reservoir computing is a promising approach to implementing high-performance artificial intelligence that can process input data at lower computational costs than conventional artificial neural networks.
Wataru Namiki, Daiki Nishioka, Takashi Tsuchiya, Kazuya Terabe   +3 more
doaj   +1 more source

Dynamic Reservoir Computing with Physical Neuromorphic Networks

2025 International Joint Conference on Neural Networks (IJCNN)
8 pages, 8 figures, IJCNN 2025 ...
Yinhao Xu, Georg A. Gottwald, Zdenka Kuncic   +2 more
openaire   +2 more sources

Silicone Phase Behavior Resolves the Softness–Surface Functionality Trade‐Off in Emerging Stretchable Electronics

Advanced Functional Materials, EarlyView.
Ultrasoft silicone elastomers often sacrifice surface functionality for mechanical compliance. In Mold Star, low‐molecular‐weight species form a dispersed phase that weakens the network and passivates the surface. Solvent extraction removes this phase, unexpectedly improving both extensibility and metallization performance, enabling conductive ...
Gloria M. D'Amaral, Rahaf Nafez Hussein, Tiago Carneiro Gomes, Jordan E. Nicholson, Lauren J. Renaud, Emily J. Addison, Simon Rondeau‐Gagné, Tricia Breen Carmichael   +7 more
wiley   +1 more source

Optical next generation reservoir computing

Light: Science & Applications
Artificial neural networks with internal dynamics exhibit remarkable capability in processing information. Reservoir computing (RC) is a canonical example that features rich computing expressivity and compatibility with physical implementations for ...
Hao Wang, Jianqi Hu, YoonSeok Baek, Kohei Tsuchiyama, Malo Joly, Qiang Liu, Sylvain Gigan   +6 more
doaj   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source