Results 111 to 120 of about 25,242 (261)

Chitin‐Derived Carbon‐Metal Functional Materials

Advanced Functional Materials, EarlyView.
Functional carbon materials are synthesized from combination of biopolymer (chitin) and iron precursors. The resultant material exhibits superior surface area and adsorptive properties compared to carbon materials synthesized directly from pure chitin.
Herry Fang, Chao Hsuan (Joseph) Sung, Haitao Yu, Ezra Sarmiento, Katarina Kotanchek, Ryan Christopher Lee, Michelle Chan, David Kisailus   +7 more
wiley   +1 more source

Safety-Constrained Reinforcement Learning for Energy-Aware Transmission Scheduling in Seismic Wireless Sensor Networks. [PDF]

Sensors (Basel)
Nazamdin I, Reid A.
europepmc   +1 more source

Programming Nanoscale Reaction Environments via Peptide Localization for Gold Nanoparticle Growth in Liposomal Nanoreactors

Advanced Functional Materials, EarlyView.
The liposome nanoreactor method enables uniform metal nanoparticle synthesis using the interior as a reaction environment. We demonstrate that peptide sequences and lipid compositions act as a functional molecular switch to control reaction environments in liposome nanoreactors.
Yuya Abe, Joseph Fox, Zabeada Aslam, Kevin Critchley, Stephen D. Evans, Mina Okochi, Masayoshi Tanaka   +6 more
wiley   +1 more source

Multipath subflow transmission scheduling optimization algorithm based on cost-performance balance. [PDF]

PeerJ Comput Sci
Sun X.
europepmc   +1 more source

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

Advanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li, Jun Xu, Dezhong Xu, Zhaohui Zhang, Jiyi Li, Daxian Cao, Kefu Chen, Mizi Fan   +7 more
wiley   +1 more source

Enhanced recurrent attention-deep Q learning with optimal node constrains and effective penalty based model for data transmission scheduling on wireless sensor networks. [PDF]

PeerJ Comput Sci
Anita Sofia Liz DR, Rubavathi C Y.
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Bio‐Inspired Artificial Ionic Mechanoreceptor

Advanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari, Jeppe Don, Lasse A. N. Pedersen, John Noee, Rassoul Tabassian   +4 more
wiley   +1 more source

Tracking Battery Microstructural Degradation Through Directional Thermal Transport Signatures

Advanced Functional Materials, EarlyView.
In lithium‐ion batteries, heat conduction varies between the through‐plane and in‐plane directions because of the cell's layered structure. Therefore, cell degradation influences thermal conductivity in each direction uniquely due to detailed microstructural and compositional changes.
Mohammad Shoghi Tekmedash, Rituparna Mohanty, Jack Leber, David Nageb, Mirella Richard, Sharan Singh, Amin Reihani   +6 more
wiley   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source