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About Materialist
Materials science × AI community.

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Materialist

Materials Science × AI — an anonymous hybrid community.

🎭 Post anonymously. No judgment.✅ Verify with ORCID — get two profiles.

96

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155

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Forum1
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Hello, World!Hi everyone! Just came across this community forum, very intrigued. Still seems to be in its infancy, however, so I tho…
Forum2
7
Future in Computational Materials ScienceHi everyone, I’m currently in the final 1.5 years of my PhD in computational materials science, working primarily on el…
Forum2
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Simple CubicWhy is it that very few elements can obtain the simple cubic structure? is it an energetics thing?
Forum2
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What is your favorite MLFF?MACE-MPA-0 MatterSim Nequip PET or ...
Forum4
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Opinion on the directions of AI for materialsHi all, I was wondering what you think about where the field is headed: Some directions that I think are relevant :) We…
Forum4
9
Welcome to Materialist: A Quick Guide to Our Materials Science × AI Community!Hi Materialists 👋, I'm Hyunsoo, the developer of Materialist. The reason I created the Materialist community is quite…
Forum6
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Do you think the idea of the minimum number of dimensions needed to predict the performance of a functional material is a useful concept?Hi all, I am thinking about this specifically in terms of electocatalysis at the moment. Background thinking: There are…
Forum1
5
ok the anonymous thing is actually really nicebeen wanting something like this for a while. i can talk about stuff without worrying about my PI finding it lol the pe…
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This website seems so helpful!Keep up the great work Hyunsoo!
Forum2
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anyone down for a weekly paper thread?would be cool to pick one paper a week and just talk about it here. arxiv is too much to keep up with on my own honestly
Showcase🔥Hot•Posted by
Zn
Jeremy Monat•1 day ago
Drug discovery in a Marimo notebook

What if hitting multiple drug targets wasn’t a problem to solve, but an advantage to exploit? I’ll be exploring that idea at the #marimo Community Call on April 9, 3–4PM ET — covering drug discovery with a compound-first approach. RSVP at the link! #chemistry #drugDiscovery #notebook #python #RDKit #sqlite

#drugdiscovery
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00 CommentsLink
ForumDiscussion🔥Hot•Posted by
Ta
Filip Aniés•3 days ago
Hello, World!

Hi everyone! Just came across this community forum, very intrigued. Still seems to be in its infancy, however, so I thought I'd check who else is out there? Maybe we could use this thread to introduce ourselves (anonymous or verified). I'll start.

0
11 Comments
ForumDiscussion•Posted by
As
SpectralDarwin21•1 month ago
Simple Cubic

Why is it that very few elements can obtain the simple cubic structure? is it an energetics thing?

0
22 Comments
Showcase•Posted by
Yb
DriftingAvogadro85•1 month ago
Prioritizing Drug-Like ChEMBL Compounds Within Target Profiles

When reviewing data to find pharma compounds for virtual screening, we might want to check what their target profiles and rank candidates by how many Lipinski's rule of five violations they have--the fewer the better. This post uses the ChEMBL API and a SQLite database to do that. alt text

#cheminformatics#chemistry#drugdiscovery#medchem#medicinalchemistry
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00 CommentsLink
ForumCareer🔥Hot•Posted by
Th
SonicKelvin93•1 month ago
Future in Computational Materials Science

Hi everyone, I’m currently in the final 1.5 years of my PhD in computational materials science, working primarily on electronic structure, excited-state dynamics, and ML-driven simulations of functional materials. I have a few solid publications (though I know numbers alone aren’t a meaningful benchmark). Recently, I’ve been actively learning machine learni…

7
22 Comments
Papers•Posted by
Tl
ElasticPauling47•1 month ago
AI-assisted rapid crystal structure generation towards a target local environment

It's a symmetry-informed workflow that can generate complex crystal structures from limited known examples, then refine them by enforcing a target local environment (instead of relying only on expensive energy-based search). In this work, demonstrated the approach on an elemental sp² carbon case, and the same idea can be extended to other elemental structur…

https://www.nature.com/articles/s41524-02…#Materials Informatics#Crystal Structure Prediction#Machine Learning
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00 CommentsPaper
ForumDiscussion🔥Hot•Posted by
Cs
Hyunsoo Park•2 months ago
Welcome to Materialist: A Quick Guide to Our Materials Science × AI Community!

Hi Materialists 👋, I'm Hyunsoo, the developer of Materialist. The reason I created the Materialist community is quite simple. Verified spaces like LinkedIn can often feel too polished and formal for deep, critical debate. On the other hand, the raw honesty you find in anonymous spaces—like OpenReview—is absolutely essential for genuine scientific discussio…

9
44 Comments
ForumDiscussion🔥Hot•Posted by
Pd
ElasticFourier96•2 months ago
Do you think the idea of the minimum number of dimensions needed to predict the performance of a functional material is a useful concept?

Hi all, I am thinking about this specifically in terms of electocatalysis at the moment. Background thinking: There are many competing predictors of performance. For example the d-band centre is thought to be predictive of binding energy however this value can also be perturbed by covalent interaction with the electrolyte. Others suggest this concept is too…

3
66 Comments
ForumDiscussion🔥Hot•Posted by
Pd
DriftingFaraday25•2 months ago
What is your favorite MLFF?

MACE-MPA-0 MatterSim Nequip PET or ...

3
22 Comments
ForumDiscussion🔥Hot•Posted by
Ca
ResonantArchimedes94•2 months ago
Opinion on the directions of AI for materials

Hi all, I was wondering what you think about where the field is headed: Some directions that I think are relevant :) We realize that large foundation models may produce beautiful results, but end up not being physically grounded. Thus there will be a larger push for physics-guided/informed/... models that work with smaller more domain-specific datasets that…

5
44 Comments
ForumQuestion🔥Hot•Posted by
O
ElasticNoether46•2 months ago
anyone down for a weekly paper thread?

would be cool to pick one paper a week and just talk about it here. arxiv is too much to keep up with on my own honestly

#community#papers
3
22 Comments
ForumDiscussion•Posted by
P
QuantumGauss14•2 months ago
ok the anonymous thing is actually really nice

been wanting something like this for a while. i can talk about stuff without worrying about my PI finding it lol the per post toggle is a nice touch too

#anonymous#community
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11 Comments