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Name: Adriana A. Rojas, PhD
Type: User
Bio: Data scientist with chemical engineering training and experience in bio-ag data, remote sensing, polymer physics, & battery electrochemistry data analysis
Location: Boston, MA
Name: Adriana A. Rojas, PhD
Type: User
Bio: Data scientist with chemical engineering training and experience in bio-ag data, remote sensing, polymer physics, & battery electrochemistry data analysis
Location: Boston, MA
A slurry was composed such that it contains ion-conducting material, electron-conducting material, active material, and binder.
It is of interest to calculate the first derivative of the cell voltage with respect to the normalized capacity for select cycle numbers throughout the cycling life of the cell. This will help identify any shifts in the peaks of interest, which can be later related to the degradation mechanisms of a cell. In this exercise, I outline a class for reading and analyzing the data, and I outline another class to graph the data. Finally, I demonstrate how data smoothing can remove noise and help the viewer more readily identify the shifts in the dV/dQ peaks.
My project at Insight to identify a firearm discharge from other environmental sounds.
This dataset contains a particle size distribution curve: columns of the volume % and the particle size. In this exercise, I will resolve the overlapping peaks by fitting a sum of two lognormal distributions. By resolving, the mean peak positions of each underlying moiety can be identified.
This script performs a random phase approximation in python for x-ray scattering data
This script reads a .csv file containing x-ray scattering profiles and performs Teubner Strey-Fits given a temperature and sample name.
A (friendly) DSSAT input and output file reader and writer.
read data from chronoamperometry and electrochemical impedance spectroscopy testing to calculate a cation transport number. The normalized chronoamperometry data is graphed, the EIS data is graphed, and the resulting transference number is graphed.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.