Ben Blaiszik
@benblaiszik.bsky.social
Group Leader - AI and data infrastructure for science at
UChicago/Argonne/Globus - UofIllinois alum. materials, chemistry, physics. Opinions are my own.🤖🔬
UChicago/Argonne/Globus - UofIllinois alum. materials, chemistry, physics. Opinions are my own.🤖🔬
Pinned
Ben Blaiszik
@benblaiszik.bsky.social
· Nov 22
Quick introduction. 👋
Here are some things I do:
🤖 Use AI/ML to supercharge science - from analysis to prediction, to automation
🔨 Build data infra so researchers can do more science with less overhead
🌟 Contribute to open code, data, and science
🤝 Build communities for modern research.
Here are some things I do:
🤖 Use AI/ML to supercharge science - from analysis to prediction, to automation
🔨 Build data infra so researchers can do more science with less overhead
🌟 Contribute to open code, data, and science
🤝 Build communities for modern research.
Northern Lights over the western Chicago suburbs at 9:15. Clearly visible by eye, lasted about 10 mins. 🤩
November 12, 2025 at 3:37 AM
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.
November 1, 2025 at 6:02 PM
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.
October 15, 2025 at 7:06 PM
🔥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.
October 7, 2025 at 5:39 PM
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
See the projects here and come join our community: llmhackathon.github.io
October 2, 2025 at 7:03 PM
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
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...
Access Details: github.com/facebookrese...
September 24, 2025 at 4:41 PM
🔥 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...
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.
Some interesting concepts, but needs a lot of work.
September 16, 2025 at 5:21 PM
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.
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.
We'll share our findings soon, but from what I've heard already prepare to be amazed.
September 10, 2025 at 3:43 PM
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.
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?
September 10, 2025 at 1:48 AM
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.
+ 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.
September 9, 2025 at 3:14 PM
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.
+ 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
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
youtu.be
September 3, 2025 at 4:48 PM
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
She discusses GlossaGen, a project to automate glossary building and connecting terms into networks across papers, her background and story.
Video: youtu.be/9Gr4VrEKD4Q
🚀 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
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
August 20, 2025 at 7:27 PM
🚀 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
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...
Link: www.anl.gov/hr/ldrd-name...
Argonne LDRD Named Fellowships
Apply by October 1, 2025 for Argonne Laboratory Directed Research and Development (LDRD) Named Fellowships honoring Dr. Maria Goeppert Mayer and Dr. Walter Massey.
www.anl.gov
August 19, 2025 at 4:17 PM
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...
Link: www.anl.gov/hr/ldrd-name...
Reposted by Ben Blaiszik
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/
📝 Register: llmhackathon.github.io/sites/london/
August 18, 2025 at 2:18 PM
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/
📝 Register: llmhackathon.github.io/sites/london/
BLASTNet is a much friendlier dataset than it sounds, and is especially useful for those working in space propulsion, chemical reaction optimization, fusion physics, aerospace applications, weather modeling, and more. The team is seeking to collect the highest quality datasets, and needs your help.
August 13, 2025 at 5:52 PM
BLASTNet is a much friendlier dataset than it sounds, and is especially useful for those working in space propulsion, chemical reaction optimization, fusion physics, aerospace applications, weather modeling, and more. The team is seeking to collect the highest quality datasets, and needs your help.
Does anyone have a science application ready that could benefit from running an MLIP like MACE, MatterSim, or SevenNet at scale? Have a fun collaboration opportunity with free large compute access for the right applications. Reply or DM if interested!
August 7, 2025 at 10:03 PM
Does anyone have a science application ready that could benefit from running an MLIP like MACE, MatterSim, or SevenNet at scale? Have a fun collaboration opportunity with free large compute access for the right applications. Reply or DM if interested!
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
This is your opportunity to rally a team to help solve big problems!
Register here for the link: llmhackathon.github.io
August 5, 2025 at 7:55 PM
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
This is your opportunity to rally a team to help solve big problems!
Register here for the link: llmhackathon.github.io
You can grow fresh peaches in your yard as far north as Chicago. Quite the unlock.
July 25, 2025 at 7:24 PM
You can grow fresh peaches in your yard as far north as Chicago. Quite the unlock.
We're about a month and a half away from the 3rd LLM Hackathon for Applications in Materials and Chemistry (Sept 11-12). I hope you will join us! Here are a few reasons to register now.
🤗 Join the preeminent community for LLM and multimodal model applications in materials science and chemistry.
🤗 Join the preeminent community for LLM and multimodal model applications in materials science and chemistry.
July 22, 2025 at 7:26 PM
We're about a month and a half away from the 3rd LLM Hackathon for Applications in Materials and Chemistry (Sept 11-12). I hope you will join us! Here are a few reasons to register now.
🤗 Join the preeminent community for LLM and multimodal model applications in materials science and chemistry.
🤗 Join the preeminent community for LLM and multimodal model applications in materials science and chemistry.
Training data volumes have exploded, but what if we only get one shot to teach a model?
Evans et al show a breakthrough: a "distortable canvas" model that mimics human cognition, achieving 80% MNIST accuracy with just 1 example per class. No pretraining needed.
Evans et al show a breakthrough: a "distortable canvas" model that mimics human cognition, achieving 80% MNIST accuracy with just 1 example per class. No pretraining needed.
a man is singing into a microphone in front of a crowd at a concert .
ALT: a man is singing into a microphone in front of a crowd at a concert .
media.tenor.com
July 21, 2025 at 5:45 PM
Training data volumes have exploded, but what if we only get one shot to teach a model?
Evans et al show a breakthrough: a "distortable canvas" model that mimics human cognition, achieving 80% MNIST accuracy with just 1 example per class. No pretraining needed.
Evans et al show a breakthrough: a "distortable canvas" model that mimics human cognition, achieving 80% MNIST accuracy with just 1 example per class. No pretraining needed.
Reposted by Ben Blaiszik
The first (of many, I hope!) challenges articles is finally out! Really excited to be able to provide this service to the #machinelearning community. If you're organizing #hackathons, #MLcompetitions, or similar, please reach out! @iopp-mlresearch.bsky.social #MachineLearningSeries
🚨Challenges article alert!🚨
In this paper, Zhang, Wang and coworkers describe the #OpenLAMChallenges, competitions designed to benchmark #machinelearning methods and accelerate ML-driven discovery. Read the #MachineLearningScienceandTechnology article here: bit.ly/3TTlZtP 1/2
In this paper, Zhang, Wang and coworkers describe the #OpenLAMChallenges, competitions designed to benchmark #machinelearning methods and accelerate ML-driven discovery. Read the #MachineLearningScienceandTechnology article here: bit.ly/3TTlZtP 1/2
July 3, 2025 at 3:09 PM
The first (of many, I hope!) challenges articles is finally out! Really excited to be able to provide this service to the #machinelearning community. If you're organizing #hackathons, #MLcompetitions, or similar, please reach out! @iopp-mlresearch.bsky.social #MachineLearningSeries
🚀 Announcing the third LLM Hackathon for Applications in Materials and Chemistry (Sept 11-12)!
Last year, 34 teams submitted inspiring and open examples. This year, we are expecting amazing applications with higher powered models and agentic frameworks. Your imagination is the only limit.
Last year, 34 teams submitted inspiring and open examples. This year, we are expecting amazing applications with higher powered models and agentic frameworks. Your imagination is the only limit.
July 10, 2025 at 1:09 PM
🚀 Announcing the third LLM Hackathon for Applications in Materials and Chemistry (Sept 11-12)!
Last year, 34 teams submitted inspiring and open examples. This year, we are expecting amazing applications with higher powered models and agentic frameworks. Your imagination is the only limit.
Last year, 34 teams submitted inspiring and open examples. This year, we are expecting amazing applications with higher powered models and agentic frameworks. Your imagination is the only limit.
A new preprint introduces a Socratic Method Agent that guides LLMs through structured questioning, i.e., definition, analogy, hypothesis elimination, and more following lessons learned from thousands of years of philosophy and reasoning achieving SOTA on the ARC Challenge.
Continued below w links:
Continued below w links:
July 8, 2025 at 8:25 PM
A new preprint introduces a Socratic Method Agent that guides LLMs through structured questioning, i.e., definition, analogy, hypothesis elimination, and more following lessons learned from thousands of years of philosophy and reasoning achieving SOTA on the ARC Challenge.
Continued below w links:
Continued below w links:
Son proudly and triumphantly: “We really can accomplish anything”
Me: 🥺🥲🫡
Our accomplishment: Getting a Nintendo Switch 2
Me: 🥺🥲🫡
Our accomplishment: Getting a Nintendo Switch 2
June 26, 2025 at 8:10 PM
Son proudly and triumphantly: “We really can accomplish anything”
Me: 🥺🥲🫡
Our accomplishment: Getting a Nintendo Switch 2
Me: 🥺🥲🫡
Our accomplishment: Getting a Nintendo Switch 2
Even more open materials and chemistry data for everyone! Think of all the models you could train using these datasets.
June updates: 26 high-quality datasets spanning polymer science, drug discovery, spectroscopy, MOF databases, + foundation model training datasets.
🔗: github.com/blaiszik/awe...
June updates: 26 high-quality datasets spanning polymer science, drug discovery, spectroscopy, MOF databases, + foundation model training datasets.
🔗: github.com/blaiszik/awe...
June 24, 2025 at 3:30 PM
Even more open materials and chemistry data for everyone! Think of all the models you could train using these datasets.
June updates: 26 high-quality datasets spanning polymer science, drug discovery, spectroscopy, MOF databases, + foundation model training datasets.
🔗: github.com/blaiszik/awe...
June updates: 26 high-quality datasets spanning polymer science, drug discovery, spectroscopy, MOF databases, + foundation model training datasets.
🔗: github.com/blaiszik/awe...