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Machine-Learning-phases-of-matter
Machine-Learning-phases-of-matter PublicIn this repository I reproduced the results( figure 1 so far ) of the paper [1] Juan Carrasquilla and Roger G. Melko, Nature Physics 64, 063810 (2001) "machine learning phases of matter".
Jupyter Notebook 3
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MSc_QT_22
MSc_QT_22 PublicForked from ICHEC/MSc_QT_22
Python for Quantum Mechanics course for Trinity MSc in Quantum Technologies starting September 2022.
Jupyter Notebook
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Bachelors-thesis-Physics-
Bachelors-thesis-Physics- PublicA pdf of my thesis "A machine learning approach to the simulation of bio-inorganic compounds" sits here
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Machine-learning-density-functional-theory-for-the-Hubbard-model
Machine-learning-density-functional-theory-for-the-Hubbard-model PublicA project in which I will try to replicate the results of "Machine learning density functional theory for the Hubbard model James Nelson,∗ Rajarshi Tiwari,† and Stefano Sanvito‡"https://doi.org/10.…
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Physics-undergrad-Python-projects
Physics-undergrad-Python-projects PublicThis repository contains my python homeworks from my undergraduate physics degree
Jupyter Notebook
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Undergrad-Experimental-labs-with-data-analysis
Undergrad-Experimental-labs-with-data-analysis PublicUndergrad Experimental Physics labs with Python data analysis included in report
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