Machine learning interatomic potentials and their application to lithium batteries (seminar talk in Spanish).
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Updated
Jul 1, 2022 - TeX
Machine learning interatomic potentials and their application to lithium batteries (seminar talk in Spanish).
Master's thesis project consisting in the development of a pipeline to segment and render tomography data of lithium-ion batteries during abuse testing.
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.
Timeseries of lithium-ion battery packs
This code is a versatile and adaptive solution that allows you to incorporate both AGM (Absorbent Glass Mat) and lithium batteries into the same circuit without risk of damaging either type. It's particularly useful for projects where you need the flexibility to use different battery chemistries for various applications.
Safeguarding Against Counterfeit Batteries with Authentication
📘💻 Computational modeling for the development of next-generation lithium-ion battery electrodes
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
Fast Cahn Hilliard simulations in Custom Geometries using the Smoothed Boundary Method
Lithiation of amorphous silicon protocol
Battery Management System for EV Mustang
A set of scripts for constructing diffractograms taken in the operando mode during charge-discharge of the electrode material.
Structures obtained in the PRB article "NMR, x-ray and Mössbauer results for amorphous Li-Si alloys using density functional tight-binding method"
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.
2016년 엘스비어 논문을 통해 신호 분석에 특화된 EMD, EEMD의 효과를 ARIMA를 통해 확인한다.
Efficiency, thermal, and sizing models for drone motors, controllers, and batteries.
This paper summarizes a deep learning-based approach with an LSTM trained on the widely used Oxford battery degradation dataset and the help of generative adversarial networks (GANS).
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