24 skills found
supadupaplex / PfecapVerilog-A Preisach ferroelectric cap (PFECAP) simulation model for FET
AMReX-Microelectronics / FerroXFerroX is a massively parallel, 3D phase-field simulation framework for modeling ferroelectric materials based scalable logic devices.
ruher / Ferroelectric PhasefieldThe phase field code of simulation about reversible domain switch phenomena in ferroelectric material.
mzkhalid039 / DWBuilderFerroelectric/Ferroelastic domain wall builder
jagar2 / Revealing Ferroelectric Switching Character Using Deep Recurrent Neural NetworksThe ability to manipulate domains and domain walls underpins function in a range of next-generation applications of ferroelectrics. While there have been demonstrations of controlled nanoscale manipulation of domain structures to drive emergent properties, such approaches lack an internal feedback loop required for automation. Here, using a deep sequence-to-sequence autoencoder we automate the extraction of features of nanoscale ferroelectric switching from multichannel hyperspectral band-excitation piezoresponse force microscopy of tensile-strained PbZr0.2Ti0.8O3 with a hierarchical domain structure. Using this approach, we identify characteristic behavior in the piezoresponse and cantilever resonance hysteresis loops, which allows for the classification and quantification of nanoscale-switching mechanisms. Specifically, we are able to identify elastic hardening events which are associated with the nucleation and growth of charged domain walls. This work demonstrates the efficacy of unsupervised neural networks in learning features of the physical response of a material from nanoscale multichannel hyperspectral imagery and provides new capabilities in leveraging multimodal in operando spectroscopies and automated control for the manipulation of nanoscale structures in materials.
durdiev15 / Phase Field Modeling FerroelectricsPhase field simulations of ferroelectrics using FFT.
mangerij / FerretOpen-source MOOSE application "Ferret" for parallel mesoscale simulations of ferroic and related electronic materials
bics-rug / HeraclesHfO2 ferroelectric capacitor compact model for circuit simulation
MoseyQAQ / FerrodispcalcPython codes for calculation of polarization displacement vector in ferroelectric materials
lnlp / FramI2CFramI2C is an Arduino library for FRAM (F-FRAM, Ferroelectric RAM) non-volatile memory chips with I2C interface. Supports most common Cypress and Fujitsu I2C FRAM chips with densities of 4, 16, 64, 128, 256, 512, and 1024 kilobits (kb). Provides simple, easy to use read() and write() methods for reading/writing integral and floating point types (uses automatic type inference and byte conversion), readBytes() and writeBytes() for reading/writing larger amounts of data as byte array, and fill() to fill or clear a range of FRAM memory.
ramav87 / FerroSimFerroelectric Simulation using a discrete Landau formulation on a 2D grid
huiihao / SpiralWe identify a ferroelectric topological structure, termed "dipole spiral," which exhibits a giant intrinsic piezoelectric response (>320 pC/N). This helical structure, primarily stabilized by entropy and possessing a rotational zero-energy mode, unlocks new possibilities for exploring chiral phonon dynamics and dipolar DM-like interactions.
salinelake / Ab Initio PbTiO3ab initio multiscale modeling of ferroelectric PbTiO3
icen-tsui / DFSEAn inverse design software for ferroelectrics
aghosh92 / DCNN FerroicsDeep learning polarization data in ferroelectrics from STEM images
rsilvabuarque / Atomate2 FfforgeA DIRECT-driven, active-learning workflow that autonomously builds machine-learning interatomic potentials (MLIPs) for batteries, ferroelectrics, catalysts, polymers, and electrolytes, fully integrated with the atomate2/jobflow ecosystem.
Mohamad-hourani / Joint Deconvolution Of Fundamental And Harmonic Ultrasound ImagesIn this code, method of joint deconvolution of fundamental and harmonic ultrasound images based on the ADMM framework. The method is applied on simulation images (non blind and blind approach) and real data (blind deconvolution). For more details please see (M. Hourani, A. Basarab, D. Kouamé and J. -Y. Tourneret, "Ultrasound Image Deconvolution Using Fundamental and Harmonic Images," in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 68, no. 4, pp. 993-1006, April 2021, doi: 10.1109/TUFFC.2020.3028166.)
Zhaochen-Xi / FEs Inverse DesignThis repository contains the source code and datasets for the research paper: "Active learning optimization in latent spaces accelerates inverse design of ferroelectric ceramics for energy storage".
Titan-C / RelaxorMonte Carlo Simulation of a Relaxor Ferroelectric
JAnderson419 / FerroA python package to ease manipulation of ferroelectric (and perhaps ferromagnetic) test data. Includes experimental modeling capabilities.
