tue7d7rieixjxksk37/Lattice-Unified-Field-Theory-L.U.F.T

The LUFT Unified Feild Theory

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CarlDeanClineSr/Lattice-Unified-Field-Theory-L.U.F.T

The LUFT Unified Feild Theory

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scathalmca/Sonnet-Automation-Code

Tools designed to extract Resonant Frequency & Coupling Quality Factor for Microwave Kinetic Inductance Detector Simulations using a Sonnet .csv data file.

Language: Python - Size: 6.83 MB - Last synced at: 23 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

pmocz/superconductor-spectral

Spectral Solver for the Ginzburg-Landau equation

Language: Python - Size: 309 KB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 3

lfoppiano/grobid-superconductors

Grobid module for superconductor material and properties extraction

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lfoppiano/material-parsers

Material parsers and other tools, scripts Initially developed for Grobid Superconductor

Language: Python - Size: 68.7 MB - Last synced at: 16 days ago - Pushed at: 2 months ago - Stars: 12 - Forks: 0

lfoppiano/SuperMat

Superconductors material dataset

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HelgeGehring/gdshelpers

GDSHelpers is an open-source package for automatized pattern generation for nano-structuring.

Language: Python - Size: 552 KB - Last synced at: 26 days ago - Pushed at: almost 3 years ago - Stars: 115 - Forks: 34

loganbvh/superscreen

Simulate the magnetic response of 2D superconductors

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15-minute-discourse/room-temperature-superconductors

Associated repository for the "Room-Temperature Superconductors: A Revolution in Energy & Technology!" 15 minute discourse podcast on YouTube!

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DebasishPanda529/QuantuMusings

Backup repo for ongoing RnD stuff in quantum transport and related topics in CMP, under the aegis of the CNQT group, IIT Bombay.

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Anjishnubose/TightBindingToolkit.jl

Tools for general Tight Binding systems

Language: Julia - Size: 1.07 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 0

lfoppiano/supercon2

Staging-area for automatically collected experimental data for the SuperCon database with a curation interface with enhanced-document viewer and curation-ready interface

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sahderooij/MKID-models

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Songyosk/SuperconductivityML

Machine-Learning Predictions of Critical Temperatures from Chemical Compositions of Superconductors

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giotre/superconductors

Repository for the publication "Leveraging composition-based energy material descriptors for machine learning models"

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sdkyuanpanda/SuperDiff

Implementation of Diffusion Models for Conditional Generation of Hypothetical New Families of Superconductors

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Spandan2308/Critical-Temperature-Prediction

The critical temperature of a superconductor is predicted using XGBoost algorithm.

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anomic1911/High-Temperature-Superconductors-and-their-applications

A term paper discussing the history, developments and applications of High Temperature Superconductors

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stefanbringuier/CrashCourseSCMaterials

Notes for anyone who is interested in quickly familiarizing themselves with superconductors from a materials science perspective

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RajeevAtla/SuperconGAN

Training a GAN using superconductivity data

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vpyykkonen/negf-transport-solver

Transport solver for a two-terminal superconducting junction for probing a tight-binding mean-field structure

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riteshchhetri10/Tc_superconductors

Predicting critical temperature of Superconductors using multiple linear regression and XGBoost methods

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hunterjreid/LithoLab

Desktop app for lithography learning available for Windows, macOS, and Linux

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lfoppiano/superconductor-extraction-paper-ieice2019

Source of the short paper titled "Proposal of Automatic Extraction Framework of Superconductors related Information from Scientific literature"

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lfoppiano/grobid-superconductors-paper

Source of the paper "Automatic extraction of materials and properties from superconductors scientific literature"

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jtsun/topins2 Fork of suan12/topins2

Topological Superconductors - Notebooks for an introductory course

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AymanSulaiman/superconductor-analysis-and-prediction

Superconductivity is a phenomenon where a charge can move through a material without any resistance. This allows electricity to be conducted at maximum efficiency. TensorFlow was used to make an accurate Neural Network.

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iamashwin99/JJ-Ic-finder

A website to quickly plot PPMS data and find the Critical current (Ic) of an IV curve. deployed at https://share.streamlit.io/iamashwin99/jj-ic-finder/main/app.py and https://jj-ic-finder.herokuapp.com/

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