Radical AI (@RadicalAI) / X

Radical AI

212 posts

Radical AI

@RadicalAI

Discover and develop novel materials with the world's most advanced self-driving lab.

New York City

Joined December 2023

Pinned
Radical AI
@RadicalAI
Dec 2, 2025
History is defined by the materials we master. But the materials of the past cannot build the future. Radical AI is building scientific intelligence to autonomously discover and manufacture next-generation materials to solve the world's greatest challenges.
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Radical AI
@RadicalAI
22h
Invent materials for the next wave of technology. Materials that don't exist yet are holding back trillion-dollar industries: aerospace, energy, semiconductors. We remove the bottlenecks to invention.
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Radical AI
@RadicalAI
22h
Watch the full episode:
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Radical AI
@RadicalAI
Jun 18
Built in the greatest city in the world. Parade day at the lab. #NewYorkKnicks
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Radical AI
@RadicalAI
Jun 17
Remove the bottlenecks to invention. “Materials discovery has been stuck on a 20–30 year timeline for generations. Joseph thinks that’s about to change, and Radical AI is putting that thesis to the test in the lab, one sample at a time,” reports Brandon Anderson. Thank you
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Radical AI
@RadicalAI
Jun 17
There are more demands for materials than there are scientists who can make them. Working with scaled experimental data allows us to turn a materials measurement into an automated workflow, enabling exponentially more material discoveries per scientist.
GIF
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Radical AI
@RadicalAI
Jun 16
The best materials scientists—at 10x capacity. "As the science community has grown, there has been an enormous amount of information overload that the community has not figured out how to address," says @CederGerbr61355. "I think AI will have tremendously positive effects in
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Radical AI
@RadicalAI
Jun 16
Read it here:
Gerbrand Ceder on why science is a global enterprise
From scientificamerican.com
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Radical AI
@RadicalAI
Jun 15
Our self-driving labs offer a closed-loop system for materials invention. "One recent campaign discovered around 300 novel compositions over 16 weeks," reports @adele_peters for Fast Company. "Promising materials were sent to Purdue Applied Research Institute, which verified
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Radical AI
@RadicalAI
Jun 15
Read the full story here:
In this Manhattan lab, AI designs materials from scratch
From fastcompany.com
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Radical AI
@RadicalAI
Jun 12
AI's hardest unsolved problems lie in the physical world. We showcased our agentic scientist last week at Critical Mass for NYC Tech Week. Thank you @Newlab for having us and bringing together the teams developing critical technologies in NYC.
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Radical AI
@RadicalAI
Jun 11
To invent at the speed of AI, we must make materials science data actionable. Traditionally scientists are limited by scattered data, manual workflows, and inconsistent analysis. Our latest automated workflow captures structured images at scale, so every sample is directly
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Radical AI
@RadicalAI
Jun 11
Read more about what we built to analyze microstructure at scale:
Scale, Speed, Precision: Automated Microstructure Analysis Moves Different
From radical-ai.com
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Radical AI
@RadicalAI
Jun 10
Building a self-driving lab means automating annealing. Until recently, determining annealing time required measurements taken by hand. Our system can interpret alloy SEM microstructure at scale, and develop a clean dataset of structured data and standardized images for
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Radical AI
@RadicalAI
Jun 10
Read more about what we built to analyze microstructure at scale:
Scale, Speed, Precision: Automated Microstructure Analysis Moves Different
From radical-ai.com
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Radical AI
@RadicalAI
Jun 9
The experimental data needed to discover new materials doesn't exist. Our work started where that data is made: in the lab. Closing the loop with a self-driving system is how to invent materials that make it to industry.
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Radical AI
@RadicalAI
Jun 9
Hosted by @medra_ai: youtu.be/hxLSY7iwfUg?si…
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Radical AI
@RadicalAI
Jun 4
What worked for biotech doesn’t transfer to material science. Material invention won’t come from simulation, it will happen in the lab.
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Radical AI
@RadicalAI
Jun 4
Hosted by @medra_ai: youtu.be/hxLSY7iwfUg?si…
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Radical AI
@RadicalAI
Jun 2
There's a difference between creating value and capturing it. Radical AI is constantly pressure testing the path toward building the world's largest experimental dataset, and not afraid to take the risks to there.
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Radical AI
@RadicalAI
Jun 2
Watch the full episode:
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