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BatteryModels's Projects

asimtools icon asimtools

Optimized workflow management and script handling for atomistic simulations

atomistic-potentials icon atomistic-potentials

Repo to store interatomic potentials developed through machine learning and corresponding training data

automation-ev-range icon automation-ev-range

All Code and Data for our Manuscript, "Trade-offs between automation and light vehicle electrification"

batterycost icon batterycost

Battery Cost Model developed in the Viswanathan group at Carnegie Mellon.

cfx icon cfx

Python scripts and structure files used in the manuscript "Beyond transition metal oxide cathodes for electric aviation: The case of rechargeable CFx"

cgcnn icon cgcnn

Crystal graph convolutional neural networks for predicting material properties.

depye icon depye

A python code for EOS fitting and calculations of thermodynamics properties based on the Debye model with DFT uncertainty quantification functions.

eegmark icon eegmark

Benchmarking Suite for EEG Workloads

ek_paper icon ek_paper

Code to do analysis and generate figures in the ElectrochemicalKinetics.jl manuscript

electrodep icon electrodep

MOOSE Application for simulation of electrodeposition in Li-ion batteries

evse-scaling-behavior icon evse-scaling-behavior

Source code and interactive map for "Scaling Behavior for Electric Vehicle Chargers and Road Map to Addressing the Infrastructure Gap"

evtol icon evtol

EVTOL battery sizing and energy consumption estimation scripts

gasp-python icon gasp-python

Genetic algorithm for structure and phase prediction interfaced to GULP, LAMMPS and VASP.

jax-thermo icon jax-thermo

A demo code for implementation of differentiable thermodynamic modeling in JAX.

meltnet icon meltnet

A deep neural network predicting melting temperature of alloy with arbitrary composition

mhcd_ttlg icon mhcd_ttlg

Calculating MHC+DOS+QC rates for twisted trilayer graphene system

pnp_kinetics icon pnp_kinetics

Solve steady state Poisson-Nernst-Planck equation coupled with high-dimensional rate models for generating high throughput voltammograms.

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