Hyunsoo Park @hspark1212
Materials AI | Postdoctoral researcher in Prof. Aron Walsh's team at Imperial College London hspark1212.github.io London Joined August 2022-
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Point defects are often modelled at 0 K instead of the material synthesis or operating temperatures. But how accurate is this approximation? Explored with machine learning force fields in arxiv.org/abs/2412.16741 - @lonepair & Johan
Check out the new CoRE MOF DB paper out in ChemRxiv! download the dataset 👉zenodo.org/records/142169… first author @Guobin_Zhao is looking for a postdoc position in Fall 2025 or early 2026!
Check out the new CoRE MOF DB paper out in ChemRxiv! download the dataset 👉zenodo.org/records/142169… first author @Guobin_Zhao is looking for a postdoc position in Fall 2025 or early 2026!
Great to be back to Boston for @Materials_MRS MRS Fall 2024. I will give a talk at symposium MT04 on Wednesday 1:30pm about our efforts to build foundational AI capabilities for materials design at @MSFTResearch AI for Science. Look forward to meeting old and new friends in the…
Carbon dioxide capture from open air using covalent organic frameworks nature.com/articles/s4158…
From Data to Discovery: Recent Trends of Machine Learning in Metal–Organic Frameworks dx.doi.org/10.1021/jacsau…
#conference #mof2024 #singapore #chemistry #materials #ChemE #MOFs #COFs #polymers #Cages Although MOF2024 has ended, our passion and friendship will continue #MOF2026 @ShustovaLab Please enjoy Prof. Omar Yaghi’s poem during the Gala Dinner youtube.com/watch?v=0aJHx1…
If you want to extract data using LLMs, you should check out our review 📝 arXiv arxiv.org/abs/2407.16867 💻 hands-on online book matextract.pub
If you want to extract data using LLMs, you should check out our review 📝 arXiv arxiv.org/abs/2407.16867 💻 hands-on online book matextract.pub
🌍 Interested in AI and its role in combating climate change? Come to the #ICML2024 Meta booth tomorrow from 10:30 AM to 12:30 PM CEST to discuss our Open Direct Air Capture project (OpenDAC). I’ll be filling in for @anuroopsriram. Learn more: open-dac.github.io
Topological Characterization of Metal–Organic Frameworks: A Perspective | Chemistry of Materials pubs.acs.org/doi/10.1021/ac…
Very excited to announce our latest research on carbon capture! We developed a platform to screen materials for carbon capture, integrating material properties, process performance, technoeconomics, and life cycle assessments! nature.com/articles/s4158…
Happy to share recent work at #MOF2024 👍 How many yet-to-be discovered MOFs are there? How can we predict and synthesize them? Check out Up-Down Approach (UDA) with newly discovered MOFs in my upcoming poster presentation B1.28🌟 on Wed! @ChoeGroup @9thMOF2024
Superior Charge Transport in Ni-Diamine Conductive MOFs dx.doi.org/10.1021/jacs.4…
生成AIによる結晶材料の逆設計のレビュー論文。 VAE・GANから拡散モデル、そしてLLMを使った結晶逆設計の研究が手法の課題を含めまとまっています。 これもちょうど読みたかったやつ。堅実な書きっぷりで、これ系のレビューの中では一番わかりやすかったのでオススメです。 cell.com/matter/fulltex…
This is an excellent paper from the @VLDGroupOx @vl_deringer group. Tackling identification, energy decomposition and clustering preferences of defects in amorphous solids, no easy feat!
This is an excellent paper from the @VLDGroupOx @vl_deringer group. Tackling identification, energy decomposition and clustering preferences of defects in amorphous solids, no easy feat! https://t.co/hRMz5ZFBmm
Reminder that we have an opening for a 32 month research fellowship in developing physics-informed machine learning for design of new photovoltaic materials - more info below, or email me!🔽👇
Reminder that we have an opening for a 32 month research fellowship in developing physics-informed machine learning for design of new photovoltaic materials - more info below, or email me!🔽👇
New 32 month research fellowship in the group at @UCLChemistry . Want to work on new green energy materials☀️, using physics-informed 🖥️ machine learning? Then please checkout the advert below. Email me for more details. mdi-group.github.io/join/

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