Results 101 to 110 of about 1,429,068 (340)

Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators

Advanced Materials, EarlyView.
This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin, Boyu Zhang, Qianying Cao, Enrui Zhang, Aniruddha Bora, Sridhar Krishnaswamy, George Em Karniadakis, Horacio D. Espinosa   +7 more
wiley   +1 more source

Uni‐Axial Densification of Slurry‐Casted Li₆PS₅Cl Tapes: The Role of Particle Size Distribution and Densification Pressure

Advanced Materials, EarlyView.
Solid‐state batteries promise high energy density and safety for electric vehicles. This study examines the densification of slurry‐casted Li₆PS₅Cl separator tapes, highlighting the role of particle size distribution and uni‐axial pressure. Wet milling refines particles while preserving conductivity, and a critical compaction threshold leads to ...
Quoc‐Anh Tran, Meenal Agrawal, Michael Häusler, Johannes Hörmann, Mohsen Sadeqi Moqadam, Günther J. Redhammer, Ingeborg Sellæg Ellingsen, Mir Mehraj Ud Din, Per Erik Vullum, Roman Zettl, Timo Danner, Arnulf Latz, Volker Hennige, Roland Brunner, Daniel Rettenwander   +14 more
wiley   +1 more source

Designing the Next Generation of Biomaterials through Nanoengineering

Advanced Materials, EarlyView.
Nanoengineering enables precise control over biomaterial interactions with living systems by tuning surface energy, defects, porosity, and crystallinity. This review highlights how these nanoscale design parameters drive advances in regenerative medicine, drug delivery, bioprinting, biosensing, and bioimaging, while outlining key translational ...
Ryan Davis Jr., Ishaan Duggal, Nicholas A. Peppas, Akhilesh K. Gaharwar   +3 more
wiley   +1 more source

A new approach to seasonal energy consumption forecasting using temporal convolutional networks

Results in Engineering, 2023
There has been a significant increase in the attention paid to resource management in smart grids, and several energy forecasting models have been published in the literature.
Abdul Khalique Shaikh, Amril Nazir, Nadia Khalique, Abdul Salam Shah, Naresh Adhikari   +4 more
doaj  

Carbon Fiber Oxidation in 4D

Advanced Materials, EarlyView.
The oxidation of porous carbon fiber heat shield material at high temperatures is imaged using time‐resolved synchrotron X‐ray microtomography. Resolving the interplay between species diffusion and carbon‐oxygen reaction rate reveals spatially and temporally varying degradation across oxidation regimes, with profound implications for in‐depth material ...
Benjamin M. Ringel, Federico Semeraro, Joseph C. Ferguson, Harold S. Barnard, Bruno Dias, Christian M. Schlepütz, Edward S. Barnard, Sam Schickler, Kara Levy, Shawn Shacterman, Talia Benioff‐White, Julian Davis, Alastair A. MacDowell, Dilworth Y. Parkinson, Francesco Panerai   +14 more
wiley   +1 more source

Stretchable, Multiplexed, and Bimodal Sensing Electronic Armor for Colonoscopic Continuum Robot Enhanced by Triboelectric Artificial Synapse

Advanced Materials, EarlyView.
Colonoscopic continuum robots lack sensing, endangering intestinal tissue. An ideal sensing array is hard to integrate. This work introduces a 3D crosslinked stretchable E‐armor with full‐coverage and multiplexing. It has bimodal sensing, forms a triboelectric synapse, uses CNN‐LSTM, and has a hydrogel and innovative triboelectric materials.
Yuyang Sun, Tao Chen, Dongsheng Li, Hanyang Li, Tianci Ji, Fengxia Wang, Lining Sun, Chengkuo Lee, Huicong Liu   +8 more
wiley   +1 more source

A study of combination of autoencoders and boosted Big-Bang crunch theory architectures for Land-Use classification using remotely sensed imagery

Scientific Reports
The research introduced a new method for land-use classification by merging deep convolutional neural networks with a modified variant of a metaheuristic optimization technique.
Qiongbing Xiong, Xuecheng Wu, Cizhen Yu, Hasan Hosseinzadeh   +3 more
doaj   +1 more source

The Role of Artificial Intelligence in Advancing Biosensor Technology: Past, Present, and Future Perspectives

Advanced Materials, EarlyView.
This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş, Mahshid Reshadsedghi, Mustafa Şen, Volkan Kılıç, Nesrin Horzum   +4 more
wiley   +1 more source

Additive Manufacturing of Neuromorphic Systems

Advanced Materials, EarlyView.
The crossover of additive Manufacturing (AM) and neuromorphic engineering promises a new paradigm in the fabrication of intelligent hardware—one that is sustainable, scalable, cost‐efficient, and customizable. The AM‐printed neuromorphic hardware (electronics and mechanical systems) is examined, and we discussed the technological integration.
Jiongyi Yan, Yutai Su, James P. K. Armstrong, Andrew Gleadall   +3 more
wiley   +1 more source

Optical frontend for a convolutional neural network

Applied Optics, 2019
The parallelism of optics and the miniaturization of optical components using nanophotonic structures, such as metasurfaces present a compelling alternative to electronic implementations of convolutional neural networks. The lack of a low-power optical nonlinearity, however, requires slow and energy-inefficient conversions between the electronic and ...
Shane Colburn, Yi Chu, Eli Shilzerman, Arka Majumdar   +3 more
openaire   +3 more sources