Sangjoon Bob Lee
@bobleesj
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Incoming Materials Science and Engineering PhD Student at Stanford University (Fall 2025)
New York
Joined September 2016
I'm excited to have contributed to a paper published in JACS!. Here, I generated ~90 crystal physics-based features for ~2,000 .cif files using my cifkit Python package. Colleagues from CUNY and IIT then applied clustering models and experimentally validated the predictions.
Unsupervised Machine Learning Prediction of a Novel 1:3 Intermetallic Phase with the Synthesis of TbIr3 (PuNi3-type) as Experimental Validation | Journal of the American Chemical Society @kgpians @Hunter_College
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RT @CUAlbertNerken: Congratulations to Professor of Chemistry, Robert Q. Topper, on receiving the 2024 Outstanding Four-Year Undergraduate….
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RT @digital_rsc: In today's featured article, Jaffal, Lee, Oliynyk et al. introduce an approach to improving predictive uncertainty in sol….
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Herein Digital Discovery, I published 3 Python tools I built. From featurization to classification, if you ask me, it looks promising.
pubs.rsc.org
Traditional and non-classical machine learning models for solid-state structure prediction have predominantly relied on compositional features (derived from properties of constituent elements) to...
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What I did in 2024:. - 24 credits, finished MS coursework.- 4 peer-reviewed papers.- 25 citations.- 5 labs in collaboration.- 23 blog posts.- 101 repositories contributed. 2025 will be a transformative year.
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I am happy to contribute to the following paper. Our inorganic compositional descriptor dataset (OLED) has been used for training classical ML in predicting thermoelectric properties. It's performing pretty well.
pubs.acs.org
Research efforts using the tools in machine- and deep learning models have begun to show success in predicting target properties such as thermoelectric (TE) properties, including the figure of merit...
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Thanks for using the graphics (left) generated with my Python software, CIF Bond Analyzer (. This looks like an incredible opportunity!
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My Python package is now available on the Journal of Open Source Software (JOSS). The package extracts numerical descriptors from .cif files for (1) structural analysis and (2) generating features for ML models.
joss.theoj.org
Lee et al., (2024). cifkit: A Python package for coordination geometry and atomic site analysis. Journal of Open Source Software, 9(103), 7205, https://doi.org/10.21105/joss.07205
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RT @JPhysChem: Researchers at Cooper Union use Monte Carlo and quantum calculations to interpret mass spectra and predict structures, decom….
pubs.acs.org
Understanding the formation and decomposition mechanisms of aerosolized ammonium nitrate species will lead to improvements in modeling the thermodynamics and kinetics of aerosol haze formation....
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RT @ML_Chem: Interpretable Machine Learning Model on Thermal Conductivity Using Publicly Available Datasets and Our Internal Lab Dataset #m….
pubs.acs.org
Machine learning (ML), a subdiscipline of artificial intelligence studies, has gained importance in predicting or suggesting efficient thermoelectric materials. Previous ML studies have used differ...
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I collaborated with Dr. Oliynyk to release CIF Bond Analyzer (CBA), an interactive command-line Python application for the high-throughput extraction of minimum bond length and atomic mixing information from CIF files. GitHub:
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I have decided to document tips and tools learned in materials science and solid-state chemistry. First two topics are for beginners:. (1) generate compositional features with CBFV.(2) get comfortable with Python package manager Conda + cheatsheet.
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RT @ProfJRWeiser: Celebrating the @cooperunion @CUAlbertNerken ChemE seniors the right way, with a not at all competitive (I won!!!) kickba….
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RT @CUAlbertNerken: Recap of last week's student-led undergraduate research symposium:
cooper.edu
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On behalf of the Cooper Union URC, we are proud to lead and host this event as the largest student-led research event in Fall 2022 attended by more than 100 students and faculty. We would like to thank our sponsors. Please look forward to the next journey in Spring 2023.
Photos from @cooperunion’s 1st Undergraduate Research Symposium organized by students. Congrats to Nada Shetewi ChE’24 for winning Best Presenter Award & Renata Ashapatov ChE’23 for winning Best Poster Award!
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RT @CUAlbertNerken: Prof. @salty_chemist & Sanjoon Lee ChE'23 had an eventful summer presenting and publishing research on new computationa….
cooper.edu
Since January 2022, chemical engineering student Sangjoon (Bob) Lee ChE’23, has been carrying out research on the nucleation of atmospheric nanoparticles with Robert Q. Topper, professor of chemist...
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RT @MarlinProtocol: Thank you for attending our very first event in #korea 🇰🇷 with @MIHventures & @MaticNetwork. It seems like our approach….
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RT @binance: A big thank you to everyone who attended the #Binance meetup & AMA with Binance CFO, @weizhouBinance in Seoul, Korea 🇰🇷 #Binan….
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RT @ApprenticeSwift: just found Bob online! check him out:“Completion Handlers in Swift with Bob” by @bleecoin
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