ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan +8 more
wiley +1 more source
Recognition of PRI modulation using an optimized convolutional neural network with a gray wolf optimization based on internet protocol and optimal extreme learning machine. [PDF]
Khodabandeh M, Mahmoodzadeh A, Agahi H.
europepmc +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Extreme learning machine for identifying soil-dwelling microorganisms cultivated on agar media. [PDF]
Struniawski K +4 more
europepmc +1 more source
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
Fibrosis and inflammatory activity diagnosis of chronic hepatitis C based on extreme learning machine. [PDF]
Cai J, Chen T, Qi Y, Liu S, Chen R.
europepmc +1 more source
Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen +9 more
wiley +1 more source
Advanced Technologies for Characterizing and Detecting Battery Thermal Failure: A Review
Illustration of advanced characterization techniques to predict battery thermal failure. ABSTRACT Energy storage is essential in accelerating the global transition toward clean and sustainable energy across various sectors. Lithium‐ion batteries (LIBs) have become increasingly significant for energy storage due to their high energy density, low ...
Yongxiu Chen +5 more
wiley +1 more source
A reconfigurable physical unclonable function is developed using CMOS‐integrated SOT‐MRAM chips, leveraging a dual‐pulse strategy and offering enhanced environmental robustness. A temperature‐compensation effect arising from the CMOS transistor and SOT‐MTJ is revealed and established as a key prerequisite for thermal resilience.
Min Wang +7 more
wiley +1 more source
The Elephant Trunk Skin Inspires a Highly Sensitive and Deformable, Yet Robust, Armor Skin
The study presents the elephant trunk‐inspired armor skin with tactile sensing (ETATS). The ETATS architecture stretches and compresses while resisting puncture and tear, and it enables optical detection of pressure and lateral strain. Morphology‐based decoupling of strain and pressure paves the way to sensitive and deformable, yet robust, soft‐robotic
Jun Chang Yang +3 more
wiley +1 more source

