Lectures and tutorials for A3MD Bootcamp 2023
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Updated
Apr 21, 2023
Lectures and tutorials for A3MD Bootcamp 2023
I have developed a fundamental web page showcasing the workflow process within the esteemed Material Science Lab at Tata Motors under one-month internship program.
MatNexus is an end-to-end software for the automated collection and analysis of scientific articles' text, streamlining literature retrieval and offering powerful visualization and machine learning capabilities for material science research.Scientific literature processing for Materials Science
Compute Local Atomic Descriptors for Predictive Electronic Structure
DIY Synthetic Biology Curriculum. Let's Fight Climate Change
All data and analyses to reproduce my ice material science research, as published in Penn Science: Furman and Goldsby, 2021.
Numerical effective field theory approach to quantum materials.
Code to execute hardware of UV-Vis Module
Calculates the form factor coeffcient (F) numerically, for use in determination of material shear moduli
Material Science Predictor
Using the regression models in a real thermodynamic system. We have applied two supervised algorithms, Linear regression, and K-Nearest Neighbors to predict the composition values at various eta values.
SUTD SHARP Research Project on the computational modelling of the interaction between a gaussian beam source and a pseudo-silicon material with a single Lorentzian resonant frequency. Uses the open-source library meep.
Generating charge defect plots with energy correction included.
Plot MICRESS data with Python (gnuplot, Matplotlib, Plotly)
Python SDK core-package for working with the DataSpace Management System (DSMS)
An interactive web app for bioplastic material properties data. We plot material properties for bioplastics properly
Code to execute hardware of Batch Synthesis Module
MARSAC (Multi-Axial Ring Suction for Anistortopy Characterization) is a framework that identifis material parameters of soft material from experimental data acquired in an annular suction test.
Integrating LLMs with ELNs to transform materials science research at KIT, enhancing data management and accelerating scientific innovation.
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