Sangjoon Bob Lee

Materials Science and Engineering PhD Student at Stanford University

[Sangjoon Bob Lee @bobleesj]

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.

[J. Am. Chem. Soc. @J_A_C_S]

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 https://t.co/hUuJZSRJ7U

[CU Albert Nerken School of Engineering @CUAlbertNerken]

Congratulations to Professor of Chemistry, Robert Q. Topper, on receiving the 2024 Outstanding Four-Year Undergraduate Chemistry Faculty Teaching Award from @acs_newyork! 🎉 #chemistry #education #nyacs https://t.co/4QOKWi0UrO

[Digital Discovery @digital_rsc]

In today's featured article, Jaffal, Lee, Oliynyk et al. introduce an approach to improving predictive uncertainty in solid-state structure prediction combining a Composition Analyzer Featurizer (CAF) and Structure Analyzer Featurizer (SAF). Read more: https://t.co/h7JQ3fTHKO

[Sangjoon Bob Lee @bobleesj]

Herein Digital Discovery, I published 3 Python tools I built.

From featurization to classification, if you ask me, it looks promising...

https://t.co/WAYFwVtlEN

[Sangjoon Bob Lee @bobleesj]

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.

[Sangjoon Bob Lee @bobleesj]

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.

https://t.co/eFw5k4VoPi

[Sangjoon Bob Lee @bobleesj]

Thanks for using the graphics (left) generated with my Python software, CIF Bond Analyzer (https://t.co/NM9GhNWUuv).

This looks like an incredible opportunity! https://t.co/5OGpHrO3ga

[Sangjoon Bob Lee @bobleesj]

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. https://t.co/qJsI0EKNtZ

[The Journal of Physical Chemistry @JPhysChem]

Researchers at Cooper Union use Monte Carlo and quantum calculations to interpret mass spectra and predict structures, decomposition and growth of ammonium nitrate nanoparticles. @cooperunion @salty_chemist
https://t.co/0hqLsV6wOr

[Machine Learning in Chemistry @ML_Chem]

Interpretable Machine Learning Model on Thermal Conductivity Using Publicly Available Datasets and Our Internal Lab Dataset #machinelearning #compchem https://t.co/bgN4iGDxzy

[Sangjoon Bob Lee @bobleesj]

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: https://t.co/NM9GhNWUuv

[Sangjoon Bob Lee @bobleesj]

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.

https://t.co/nmT3EOhG13

[Jennifer R. Weiser @ProfJRWeiser]

Celebrating the @cooperunion @CUAlbertNerken ChemE seniors the right way, with a not at all competitive (I won!!!) kickball game in Central Park and game night in the east village! Congratulations ChemE seniors!

[CU Albert Nerken School of Engineering @CUAlbertNerken]

Recap of last week's student-led undergraduate research symposium: https://t.co/kp6JB8BnzH

[Sangjoon Bob Lee @bobleesj]

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.

[CU Albert Nerken School of Engineering @CUAlbertNerken]

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!

[CU Albert Nerken School of Engineering @CUAlbertNerken]

Prof. @salty_chemist & Sanjoon Lee ChE'23 had an eventful summer presenting and publishing research on new computational methods for atmospheric nanoparticles!! Read more here - https://t.co/8sigUNjGuq

[Sangjoon Bob Lee @bobleesj]

@toroist Glad! If you have any questions, let me know!

[Sangjoon Bob Lee @bobleesj]

@Hanisamohamed It has been fixed ;)
Thanks!

[Sangjoon Bob Lee @bobleesj]

@Hanisamohamed No problem, let me check!

[Marlin @MarlinProtocol]

Thank you for attending our very first event in #korea 🇰🇷 with @MIHventures & @MaticNetwork. It seems like our approach to #scalability at #Layer0 is getting major support among local communities. We will share some insights on the Korean crypto-market in our next blog update!