Become a sponsor to PyBaMM Team
PyBaMM (Python Battery Mathematical Modelling) is an open-source battery simulation package written in Python. Our mission is to accelerate battery modelling research by providing open-source tools for multi-institutional, interdisciplinary collaboration. Broadly, PyBaMM consists of (i) a framework for writing and solving systems of differential equations, (ii) a library of battery models and parameters, and (iii) specialized tools for simulating battery-specific experiments and visualizing the results. Together, these enable flexible model definitions and fast battery simulations, allowing users to explore the effect of different battery designs and modeling assumptions under a variety of operating scenarios.
The sponsorship funds will be utilised to support mini-projects revolving around code, infrastructure, and documentation. The funds will also be frequently used to build community spaces, organise sprints/hackathons, and cover other events revolving around PyBaMM and batteries. Additionally, comparatively large donations will allow us to offer bursaries for people coming from low-income countries/institutions or even sponsor a Ph.D. candidate!
Larger donations can be made through PyBaMM's open-collective account.
Meet the team
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Valentin Sulzer valentinsulzerCo-Founder and CEO at Ionworks Creator and core developer of PyBaMM
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Scott Marquis Scottmar93Modelling and ageing engineer at Northvolt. Former DPhil student in Applied Mathematics at University of Oxford.
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Martin Robinson martinjrobinsHead of Oxford Research Software Engineering
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Tom Tranter TomTranterPhysicist, electrochemist, software engineer
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Ferran Brosa Planella brosaplanellaAssistant Prof at @mmsg-warwick (University of Warwick). Co-investigator @FaradayInstitution. Maintainer @pybamm-team. Co-founder @ionworks.
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Robert Timms rtimmsCo-Founder at Ionworks, core developer at PyBaMM
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Saransh Chopra Saransh-cppRSEing @UCL-ARC | Open Science and Open Source enjoyer
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Agriya Khetarpal agriyakhetarpalsentient stochastic parrot
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Eric G. Kratz kratmanSoftware developer and scientist. Interested in green technologies, computer vision, machine learning, and computational chemistry.
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Arjun Verma arjxn-pyLiving life @ 1.5x
Featured work
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pybamm-team/PyBaMM
Fast and flexible physics-based battery models in Python
Python 1,106
$5 a month
SelectThank you for supporting PyBaMM! Your donation will be accumulated to fund students and developers to work on PyBaMM. You will be receiving a sponsorship badge on your GitHub profile!ποΈ
$25 a month
SelectThank you for supporting PyBaMM! Your donation will be used to maintain infrastructure, domains, and community spaces. You will receive a sponsorship badge and a shoutout on PyBaMMβs socials and website!π±
$200 a month
SelectThank you for supporting PyBaMM! Your donation will fund students to work on PyBaMM. You can point out a specific bug in PyBaMM, and we will ensure that it is prioritized (given that it benefits the PyBaMM users and community).π
$500 a month
SelectThank you for supporting PyBaMM! Your donation will fund professional developers to work on PyBaMM. You will be invited to a remote meeting with the PyBaMM core team once a year. π₯
$1,000 a month
SelectThank you for supporting PyBaMM! Your donation will help organize events revolving around PyBaMM (hackathon, sprints, training). You will be formally acknowledged as a sponsor of these events! β‘π
$5,000 a month
SelectThank you for supporting PyBaMM! Your donation will help in maintaining a particular feature of PyBaMM. The core team will maintain a specific feature in PyBaMM for you (given that it benefits PyBaMM's users and community). π¨πΌβπ»π©πΌβπ»