Remember back when the NSF Graduate Fellowships were announced and there would be a solid week of the students posting about their great work? 🥲 Congrats to all the new fellows! www.nsf.gov/news/nsf-ann...

NSF announces 2026 Graduate Research Fellowship Program award offers

The U.S. National Science Foundation (NSF) today announced that it has made offers and will award 2,500 Graduate Research Fellowships for the 2026-2027 academic year...

nsf.gov

Do you use machine-learned interatomic potentials (MLIPs) on HPC clusters? Do you have a graveyard of condo environments to manage their incompatible dependencies? If so, we should talk. We built Rootstock to make it trivial to swap MLIPs when running atomistic simulation jobs with ASE/LAMMPS.

There are already great translations into Hungarian, Indonesian, Romanian, Tamil, Ukrainian ... We could use more help with Chinese, German, Hindi, Japanese & Portuguese #chemsky

Avogadro Project@avogadro.cc · 5mo ago

Avogadro 2.0 drops April 1st — and no, that's not a joke! 🧪⚗️ Now's the perfect time to help improve translations before release. Every language matters for chemistry worldwide. #opensource #openscience hosted.weblate.org/engage/avoga...

Updated AI/ML publication charts to include data from 2025! After what looked like an approaching S-curve top in 2024, the 2025 growth looks more bullish. In 2025, Web of Science data shows: 🔸 Materials: 12,987 papers +36.9% YOY 🔹 Chemistry: 16,522 papers +40.8% 🔸 Physics: 11,955 papers +27.5%

Over the next month, we'll be releasing major updates to the Materials Data Facility! We will maintain support for all previous features, but there will be a lot of new ones. What are critical aspects you would like to see in a modern data repository? If you're interested in testing, send me a DM!

Cloudflare rebuilt Next.js in a week with AI for $1,100. I wrote about how this could become a defining moment for the scientific community to erase decades of tech debt and build the software tools that we have imagined, to accelerate progress. Let's go! www.linkedin.com/pulse/what-w...

What if We Just Built It All? A Call to Action to Reimagine Scientific Software in the Age of LLMs

Scientific software is the invisible infrastructure of modern research, and it's been starved of software engineering resources for decades. With LLMs and coding agents, that's changing.

linkedin.com

The Materials Research Data Alliance meeting is next week! Great panelists and opportunity for connection. Registration is free, and content is available online worldwide. Sign up to hear from key speakers: James Warren (NIST), John Schlueter (NSF), Andrew Schwartz (DOE), and Sean Donegan (AFRL)

If your team works on ML for materials/molecular discovery and needs someone who has built physics-informed networks for real problems, check out Zhihao Feng. Genuine problem-solver, strong collaborator, adaptable. Here's an example of his work. Link: www.linkedin.com/posts/fengzh...

What are the biggest software-solvable problems holding you back in your research? e.g., - There's no Python package to convert formats between X and Y - Running tasks on HPC systems requires expertise I don't have - Formatting or tracking the references for my paper is annoying

The 4th Materials Research Data Alliance meeting is set for Feb 17-19 on topics in materials + data + AI. This is a great opportunity to hear from speakers from academia, national labs, and industry. Register now (free - online): marda-alliance.org/2026-marda-a...

DOE announces $320M in new investments in the AI4Science! You can read more about the Genesis Mission, the American Science Cloud, the Transformational AI Models Consortium (ModCon), along with 51 AI in science application projects here and in the attached image. 🔗 energy.gov/articles/ene...

Amazing week of results from AI4Science with NeurIPS and MRS. But, for those who couldn't make it, post a link to your research here we can boost you too!

I saved this image from Stable Diffusion in Dec 2022 because it was amazing a model could output such detail. 😅

TorchSim continues its growth aiming to be the high-performance engine for MLIP-powered atomistic simulation. With this release (4.1), there improvements across the entire stack with new features, bug fixes, and improved documentation.

So your data are available upon reasonable request? Well, we are making some reasonable requests - at scale. :) 1. Search literature (currently stubbed) 2. Enumerate papers, extract contacts 3. Send email w/ data drop location 4. Parse data Does anyone want to help productionize this?

Yesterday I did a glow-up of the entire Materials Data Facility front end using Gemini 3 in less than 2 hours. A few things I learned followed by few snapshots of the updates. What did I learn? 1. Gemini 3 feels clearly ahead in terms of front-end design. Less AI slop, and more focus.

Northern Lights over the western Chicago suburbs at 9:15. Clearly visible by eye, lasted about 10 mins. 🤩

Did a quick experiment last night to see how far kids run on Halloween by giving my son a phone. The answer was 5.3 miles.

🔥We're excited to announce a major milestone for the machine-learned interatomic potential (MLIP) ecosystem: TorchSim is moving to community ownership and governance through a partnership with Radical AI and the open-source community! TorchSim is an atomistic simulation engine built for the AI era.

Generative AI is changing how we discover materials, but without direction, it can quickly lose its way. Marcus Schwarting led an effort to show that using active learning as a guide helps to prioritize the best candidates in scientific discovery workflows for MOFs.

Are you looking for ~120~ examples of how LLMs can be used to advance research in materials science & chemistry with open code? We've made a quick search interface for you to explore projects from the recent hackathon. See the projects here and come join our community: llmhackathon.github.io

🔥 Today we announce the Meta OMol25 Electronic Structures Dataset - 500 TB of molecular data in collaboration with the AI at Meta team. Access Details: github.com/facebookrese...

Going to be honest. Apple’s Liquid Glass and ios26 styling feels cheap and cluttered. Also why would I want to see so much visually distorted content (under glass)? Some interesting concepts, but needs a lot of work.

Over 1100 people around the world, virtual and in-person, decided to take a chance together, to imagine, and build - seeking ways to speed discovery and understanding in materials and chemistry with AI. We'll share our findings soon, but from what I've heard already prepare to be amazed.

My feed has gotten stale. Who is posting top tier science content?

Imagine researchers being able to: + Move data effortlessly across systems + Launch simulations on Exascale HPC systems + Run AI models via Garden & Galaxy All via user or agent intent/language to make the next breakthroughs in energy, materials, and chemistry.

A conversation with Magdalena Lederbauer, prize winner from our LLM hackathon last year, and rising star in AI for science. She discusses GlossaGen, a project to automate glossary building and connecting terms into networks across papers, her background and story. Video: youtu.be/9Gr4VrEKD4Q

Breaking Down Barriers in Science: AI Tools for Better Research Communication

YouTube video by Ben Blaiszik

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🚀 We asked: What if the time to set up and run the best Machine-Learned Interatomic Potentials (MLIPs) took seconds, not days? Today, we release the MLIP Garden v0.1. What you can do now: - Experiment ~instantly - Scale deployments on experimental NSF and Dept of Energy systems

If you are looking for a great place to meet collaborators across scientific domains and grow your career in AI, quantum, manufacturing, and more, consider applying for an Argonne Fellowship! A similar program helped me transition to data and AI research. Link: www.anl.gov/hr/ldrd-name...

With less than a month to go until the LLM Hackathon for Applications in Materials & Chemistry, registration is open for the London site. @imperialcollegeldn.bsky.social 📝 Register: llmhackathon.github.io/sites/london/

Ben Blaiszik@benblaiszik.bsky.social · last yr.

Today we are opening the teaming board for the LLM Hackathon for Applications in Materials and Chemistry (Sept 11-12). This is your opportunity to rally a team to help solve big problems! Register here for the link: llmhackathon.github.io