Results 211 to 220 of about 14,680,064 (262)

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Finite Element Model Updating Combined with Multi-Response Optimization for Hyper-Elastic Materials Characterization. [PDF]

Materials (Basel), 2019
Íñiguez-Macedo S, Lostado-Lorza R, Escribano-García R, Martínez-Calvo MÁ.   +3 more
europepmc   +1 more source

Bioinspired Mechanosensitive Organic Artificial Neuron With Programmable Excitatory and Inhibitory Responses via Nonlinear Mechano‐Electrochemical Coupling

Advanced Materials, EarlyView.
Organic artificial neurons couple mechanical deformation and ionic environments through nonlinear mechano‐electrochemical dynamics. Mechanical strain and electrolyte concentration reshape their nonlinear electrical characteristics, programming excitatory or inhibitory spiking responses that mimic mechanosensitive biological neurons and enable ...
Rassen Boukraa, Pietro Belleri, Zsolt M. Kovács‐Vajna, Paschalis Gkoupidenis, Fabrizio Torricelli   +4 more
wiley   +1 more source

Online Model Updating and Dynamic Learning Rate-Based Robust Object Tracking. [PDF]

Sensors (Basel), 2018
Islam MM, Hu G, Liu Q.
europepmc   +1 more source

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

Advanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim, Haeseong Kim, Joo Hwan Ko, Gil Ju Lee, Dae‐Hyeong Kim, Young Min Song   +5 more
wiley   +1 more source

Model Updating for Nam O Bridge Using Particle Swarm Optimization Algorithm and Genetic Algorithm. [PDF]

Sensors (Basel), 2018
Tran-Ngoc H, Khatir S, De Roeck G, Bui-Tien T, Nguyen-Ngoc L, Abdel Wahab M.   +5 more
europepmc   +1 more source

Strong Fully Reprocessable Engineered Wood Composites

Advanced Materials, EarlyView.
Engineering a hyperbranched adhesive with complementary imine‐bond and hydrogen‐bond networks, combining it with wood particles to fabricate the wood composite (WP/HTP) under mild hot‐pressing conditions. The WP/HTP exhibits 100% mechanical strength recovery after three cycles of reprocessing, and the reprocessed modulus of rupture (MOR) and modulus of
Xilin Zhang, Zheng Liu, Zhezhe Zhou, Mark Lynch, Jianzhang Li, Paulomi Burey, Jingchao Li, Cheng Zhang, Qiang Gao, Pingan Song   +9 more
wiley   +1 more source

Bridging Biosensing and Hardware‐Level Data Security With a Conjugated Radical Polymer

Advanced Materials, EarlyView.
A conjugated radical polymer provides two complementary functions within a common material platform: sensitive dopamine biosensing and device‐specific stochastic electrical responses for security. The work demonstrates a materials‐based approach for combining bioelectronic signal acquisition with hardware‐level authentication while maintaining the ...
Hoyeon Lee, Jaehyoung Ko, Dinh Cung Tien Nguyen, Yeong Kwon Kim, Daeun Kim, Soo Jin Cho, Sung Gap Im, Byung Chul Jang, Byung Joon Moon, Yongho Joo   +9 more
wiley   +1 more source

Bayesian Finite Element Model Updating and Assessment of Cable-Stayed Bridges Using Wireless Sensor Data. [PDF]

Sensors (Basel), 2018
Asadollahi P, Huang Y, Li J.
europepmc   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source