Pinned Repositories
hardy
Handling Arbitrary Recognition of Data! y not?
science-jubilee
Controlling Jubilees for Science!
ChemKED-database
Database of ChemKED files for fundamental combustion experiments
hardy
Handling Arbitrary Recognition of Data! y not?
hw1
LCR
Python Package to communicate with a Keysight/Agilent E4980A LCR meter
musical-robot
Python package for high-throughput measurement of deep eutectic solvents’ melting point using IR bolometry
musical-robot-ver2
Python package for high-throughput measurement of deep eutectic solvents’ melting point using IR bolometry
phasIR
Python modules for high-throughput measurement of melting point using IR bolometry
rp2040_MCP4725_Sonicator
An implementation of a Raspberry Pi RP2040 Pico and an Adafruit MCP4725 DAC to serially control a QSonica125 sonicator board and tool.
MariaPoliti's Repositories
MariaPoliti/LCR
Python Package to communicate with a Keysight/Agilent E4980A LCR meter
MariaPoliti/ChemKED-database
Database of ChemKED files for fundamental combustion experiments
MariaPoliti/hardy
Handling Arbitrary Recognition of Data! y not?
MariaPoliti/hw1
MariaPoliti/musical-robot
Python package for high-throughput measurement of deep eutectic solvents’ melting point using IR bolometry
MariaPoliti/musical-robot-ver2
Python package for high-throughput measurement of deep eutectic solvents’ melting point using IR bolometry
MariaPoliti/phasIR
Python modules for high-throughput measurement of melting point using IR bolometry
MariaPoliti/recipes
Not a very good repository. Just a tryout for creating a repository
MariaPoliti/rp2040_MCP4725_Sonicator
An implementation of a Raspberry Pi RP2040 Pico and an Adafruit MCP4725 DAC to serially control a QSonica125 sonicator board and tool.
MariaPoliti/UW-EEN.github.io
Energy Electrochem Nexus Lab site
MariaPoliti/voltcycle
Package enabling automated cyclic voltammetry visualization and analysis
MariaPoliti/SciCompforChemists
Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.