Modern high entropy oxide nitrides and their applications
V znanosti materialov je entropija količina, s katero opisujemo nered v sistemu. Njeno razumevanje nam omogoča razvoj materialov z željenimi lastnostmi.
Rukše, Matej
core
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 +4 more
wiley +1 more source
Thermal and filler concentration modulation of charge transport mechanism and dielectric properties in high-entropy oxide (CoCrFeNiMn)<sub>3</sub>O<sub>4</sub>-acrylic polymer composite. [PDF]
Daradkeh SI +6 more
europepmc +1 more source
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 +9 more
wiley +1 more source
Kinetics‐Controlled Architecture of Binder‐Free Organic Electrodes for Enhanced Ion Transport
Pulse reverse electrodeposition controls nucleation and growth to create hierarchically porous Py‐derived oligomeric electrodes with enhanced ionic accessibility and reduced transport resistance. The resulting binder‐free architectures translate these transport advantages into practical sodium‐storage functionality.
Satendra Kumar +1 more
wiley +1 more source
The production and electrochemical performance analysis of an O3-NaTi<sub>0.2</sub>Mn<sub>0.2</sub>Fe<sub>0.2</sub>Ni<sub>0.2</sub>Co<sub>0.2</sub>O<sub>2</sub> high-entropy oxide cathode for Na-ion batteries. [PDF]
Topal A +5 more
europepmc +1 more source
Inspired by skeletal muscles’ precision and endurance, CoilLCE integrates a self‐sensing liquid crystal elastomer/graphene artificial muscle with an embedded Joule‐heating copper coil, enabling closed‐loop multistage actuation with programmable intermediate states (strain accuracy of 2%), and antagonistic coordination (32% total strain). These features
Ziyun Zhang +9 more
wiley +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Unveiling Magnetic Characteristics of (CoCrFeNiMn)<sub>3</sub>O<sub>4</sub> High-Entropy Oxide: The Role of Compositional Optimization. [PDF]
Daradkeh SI +6 more
europepmc +1 more source
Spinel-Type (FeCoCrMnZn)3O4 High-Entropy Oxide: Facile Preparation and Supercapacitor Performance. [PDF]
Liang B +5 more
europepmc +1 more source

