2D Phase Field Implementation of a Lithium Metal Moving Boundary Anode
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Updated
Jan 30, 2023 - Julia
2D Phase Field Implementation of a Lithium Metal Moving Boundary Anode
A set of scripts for constructing diffractograms taken in the operando mode during charge-discharge of the electrode material.
High Dimensional Regression Coefficient Analysis for Functional Data
Machine learning interatomic potentials and their application to lithium batteries (seminar talk in Spanish).
javascript library to help you estimate the battery life of your IOT project - as known from www.of-things.de
Master's thesis project consisting in the development of a pipeline to segment and render tomography data of lithium-ion batteries during abuse testing.
Structures obtained in the PRB article "NMR, x-ray and Mössbauer results for amorphous Li-Si alloys using density functional tight-binding method"
Battery Automated Testing Laboratory Software
DRL-based Fast Balance Charging Optimization for lithium-ion Batteries
Energy Storage course: practical exercise on the simulation of lithium ion batteries
This project is about Tableau Dashboard on the impact of gas-powered vehicles and electric vehicles (EVs) on air quality, gas prices, EV stations, and the distribution of EV components. This project also explores the relationship between the increasing number of EVs and the decreasing price of lithium batteries.
LitMove (Lithium Movement) is an analysis code that maps Li-ions belonging to a structure to a defined reference structure and detects their movement (specifically from MD or NEB results), including to which tuple and cage the Li-ions belong. The aim is to study the diffusion pathways of Li-ions in a solid-state electrolyte.
This research presents a detailed analysis of the current state of lithium extraction and refinement, covering various sources such as brine pools, hard rock, recycled electronics, and coal ash. It outlines the specific methods employed, the capital investment required, and the main challenges faced in each process.
2016년 엘스비어 논문을 통해 신호 분석에 특화된 EMD, EEMD의 효과를 ARIMA를 통해 확인한다.
📘💻 Computational modeling for the development of next-generation lithium-ion battery electrodes
AI-enabled lithium carbonate production with integrated CO2 capture, boosting and optimizing sustainable Li-ion battery production.
Repository for my BSc thesis. lithium-batteries x AI.
📊💡 Datasets, pipelines and predictions of a metric for benchmarking an extreme fast-charging of Li-ion battery electrode materials
A Python module for identifying the location of knee/elbow points and onsets in battery capacity/internal resistance degradation curves.
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