Dr. Kamal Choudhary
@dr_k_choudhary
Data-driven Materials Design Assistant Professor @JohnsHopkins | Scientist @NIST | PhD @UF
Happy to announce Material Explorer 1.0, an AI assistant that combines the power of JARVIS and ChatGPT for materials design. (currently only available to ChatGPT subscription-based users). Stay tuned for more updates! chatgpt.com/g/g-67420c4cc6… #chatgpt #materialexplorer

Excited to share our new article on JARVIS! 🎉 If you're using JARVIS data/tools, please consider citing it. After nearly 10 years, the possibilities still feel endless. Grateful to all collaborators-this is a big milestone for materials science! 🔗 doi.org/10.1016/j.comm…

Thank you, @taylordsparks , for creating this amazing introduction video for ChatGPT Material Explorer! You explained it better than I ever could 🙂 youtube.com/watch?v=rsXNBS… @JohnsHopkins | #AtomGPTLab
CME got published in the Springer Nature's IMMI journal! 🔗 Paper: link.springer.com/article/10.100… 🔗 Direct PDF: github.com/atomgptlab/cha… 💻 GitHub: github.com/AtomGPTLab/cha… 🧠 Try CME: chatgpt.com/g/g-67420c4cc6… 📺 YouTube: youtube.com/playlist?list=… Coming soon: atomgpt.org

Vision Language Models have great potential to bridge the gap between computation and experiments. Check out #VLM #MicroscopyGPT: ➡️ Paper: pubs.acs.org/doi/10.1021/ac… ➡️ GitHub: github.com/atomgptlab/ato… ➡️ Colab: colab.research.google.com/github/knc6/ja… ➡️ HF: huggingface.co/knc6/microscop… #AtomGPTLab

I’m happy to share that I’m starting a new position as Assistant Professor at The @JohnsHopkins University! If you're an undergraduate, graduate student, or postdoctoral researcher interested in working with me, please complete this form forms.gle/raCsN1sa4KDweV…
Delighted to share a preprint on MicroscopyGPT. Check it out! ✅ Link: doi.org/10.26434/chemr… ✅ GitHub: github.com/usnistgov/atom… ✅ Colab: colab.research.google.com/github/knc6/ja… ✅ HuggingFace: huggingface.co/knc6/microscop… #AI #Materials #Microscopy #AtomGPT #JARVISNIST

#Books2youtube is a project that converts open-access books into audio/video content and uploads them to YouTube using the #YouTube #API. 🔗GitHub: github.com/knc6/books2you… 📷 YouTube: youtube.com/@books2youtube
Superconductors are among the most fascinating classes of materials. I recently gave an invited talk at the AI4SC Workshop, and the recording is now available on YouTube: #ai #superconductors #alignn #atomgpt youtube.com/watch?v=4exWB7…
Delighted to see our paper published: CHIPS-FF: Evaluating Universal Machine Learning Force Fields for Material Properties pubs.acs.org/doi/10.1021/ac… #CHIPSact #jarvisnist #mlff

DMS200 is a collection of research articles on deep learning applications in materials science, each with at least 200 citations. Know any others? Comment below or send a message! scholar.google.com/citations?user… #DMS200 #AI #Materials

Uncertainty Quantification (UQ) is more critical than simply reporting errors in AI models. I hope this video encourages broader adoption of UQ in the AI/ML pipeline, beyond the usual train-test-publish approach. youtube.com/watch?v=Hq5GJW… #AI #Materials #UQ
Delighted to co-author a paper with a Nobel Laureate and many other leading researchers in the field. Congratulations to all! I briefly contributed about our ALIGNN and AtomGPT models. iopscience.iop.org/article/10.108… #ai #materials #jarvis #alignn #atomgpt

@dr_k_choudhary Aleks and I having a wander downtown after the first day of @IMSI_Institute uncertainty in MSE workshop
Looking forward to presenting invited talks at IMSI, University of Chicago, and at the AI for Superconductor Discovery (AI4SC), University of Florida in a couple of weeks. lnkd.in/dKkenGcc lnkd.in/djM7Wtqz

Recently, I gave a brief virtual talk at MLXN 2025 on DiffractGPT. The talk is now available at the YouTube link below. Several new and improved models for #DiffractGPT, #AtomGPT, #ALIGNN, and #ALIGNN-FF will be released soon. Stay tuned! youtube.com/watch?v=sbzOLU…
1. @taylordsparks 2. @jrib_ 3. @MaximZiatdinov 4. @Sergei_Imaging 5.@karpathy (i know lofty request but would be cool) 6. @xie_tian 7. @olexandr 8. @TimothyDuignan 9. @AdeeshKolluru 10. @bwood_m 11. @dr_k_choudhary ...
Delighted to share DiffractGPT made it to the cover of JPCL! ✨ Created with ChatGPT Material Explorer: “Generate a journal cover for the DiffractGPT paper: Atomic Structure Determination from X-ray Diffraction Patterns Using a GPT.” (with minor tweaks) pubs.acs.org/toc/jpclcd/16/8

As materials data grows exponentially, traditional databases like SQLite and MongoDB often struggle with scalability, efficiency, and adaptability. Check out ParquetDB. Preprint: arxiv.org/abs/2502.05311 GitHub: github.com/lllangWV/Parqu… #ParquetDB #MaterialsData

In this work, we take a grounded approach - no grand claims, just rigorous testing. We benchmark VQE for molecules exploring impact of classical optimizers, quantum circuits, basis sets, and noise models. arxiv.org/abs/2502.09595 github.com/usnistgov/benc… #QuantumComputing

Grateful to contribute to this important work. Congratulations to all co-authors! sciencedirect.com/science/articl…
