Reentrant Phenomenon in Barium Titanate Zirconate-Based Relaxor Ferroelectrics. [PDF]
Kröll E +5 more
europepmc +1 more source
Giant Room-Temperature Electrocaloric Effect in Sr-Doped Pmn-Pt Relaxor Ferroelectrics
Zimeng Hu +4 more
openalex +1 more source
A crystal graph neural network based on the attention mechanism is proposed in this work. The model dynamically weights features through the attention mechanism, enabling precise prediction of properties of material from structural features. Here, taking Janus III–VI van der Waals heterostructures as a representative case, the properties have been ...
Yudong Shi +7 more
wiley +1 more source
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
The generalized Vogel-Fulcher-Tamman equation for describing the dynamics of relaxor ferroelectrics. [PDF]
Levit R +3 more
europepmc +1 more source
Microstructures and optical properties of relaxor ferroelectric 0.74Pb (Mg<SUB>1/3</SUB> Nb<SUB>2/3</SUB>)O<SUB>3</SUB>0.26PbTiO<SUB>3</SUB> thin films [PDF]
Yue Tian +12 more
openalex +1 more source
Poly(vinylidene fluoride) (PVDF)‐based ferroelectric materials exhibit high strains, energy densities and coupling efficiencies, appealing for diverse applications requiring smart material actuators. This work reviews electromechanical transduction in PVDF‐based polymers and their modifications, implementation in actuators, and functional devices ...
Giulio Gallucci, Andres Hunt
wiley +1 more source
Collaborative design of polarization and antiferrodistortion configurations in high energy capacitive relaxor ferroelectrics. [PDF]
Wei K +10 more
europepmc +1 more source
Comment on "Giant electromechanical coupling of relaxor ferroelectrics controlled by polar nanoregion vibrations". [PDF]
Gehring PM +8 more
europepmc +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source

