Héctor Corte-León (@HCorteLeo) header
Héctor Corte-León (@HCorteLeo) profile picture

Application Scientist at Nanosurf. Exploring, getting amazed. Love computer gaming, physics, coding...

Joined November 2011
Photo by Héctor Corte-León (@HCorteLeo)Photo by Héctor Corte-León (@HCorteLeo)Photo by Héctor Corte-León (@HCorteLeo)Photo by Héctor Corte-León (@HCorteLeo)Photo by Héctor Corte-León (@HCorteLeo)Photo by Héctor Corte-León (@HCorteLeo)Photo by Héctor Corte-León (@HCorteLeo)Photo by Héctor Corte-León (@HCorteLeo)Photo by Héctor Corte-León (@HCorteLeo)Photo by Héctor Corte-León (@HCorteLeo)
Did you notice the new @NanosurfAFM website and where the #fridayAFM posts are archived? lnkd.in/eFYiBuk5 #Nanosurf #AFM #CleanDrive #DriveAFM #Nanoscale
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The #AI revolution in #AFM isn’t just hypothesis generation. It’s in the small things: finding my stage’s center of rotation for 360° sidewall scans of a through-glass via took minutes with an AI agent and one prompt, not hours scripting.
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Context is always useful. This week I will host the talk by Prof. Ricardo García, “Machine learning analysis of #cell viscoelasticity by AFM”, and I know that, without the proper context, it will just look like more buzzword hype: #MachineLearning #AI #AFM, etc. That is why I want to show you these two books. On the left is Ricardo García’s book, without doubt the best book on the topic, detailing the feedback, artefacts, signals and information that can be extracted from this imaging mode. On the right, four times thicker than Ricardo’s book, is a book that tries to explain the AFM tip–sample interaction. This is why analysing force–distance curves is so complex and time-consuming, and why, even with machine learning, it is a tremendous task.
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Uisng #nanosurf_MCP_server in combination with #Claude to operate one of the most powerful microscopes in the world, the #AFM The era of #AI has arrived and the #closeedloopscientist is a reality.
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The user (me), types what wnats to achieve and Claude figures out the rest using a combination of #Corpus plus @MCP documentation.
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What you see here is 100% Claude operating the microscope and filling the gaps that the user doesn't mention or doesn't know about.
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#AFM plus #AI is here. Say welcome to systems with autonomy level 5. TL; DR I show remote AFM operation by prompting my requests to #Claude instead of operating the system myself. This is not the future, it is happening now. – at Basel, Switzerland
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☆★#オープンキャンパス★☆ #原子間力顕微鏡 の原理説明! まさか、レゴブロックで再現してしまうとはすごい…! @理学南館 物理学科ポスター会場 #名大 #理学
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#HectorVStheAFM Spent the last three months putting together a database of every #afm paper ever published. This is the result of 40 years of #research in #nanoscience enJOY instagram.com/reel/DZzwHVYMD…
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Honestly, I'm struggling so much to catch up with how fast Machine Learning and Artificial Intelligence #MLAI developes in #AFM that I don't have time to post things.
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This led me back into optimization and why gradient descend might fail. So I tried my old reliable Simmulated Annealing.
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And then i went down the rabbit hole of @GaussianProcess and bayesian optimization. Which led me to work on @DigitalTwins of the AFM and the tip-sample interaction. And now I have so many projects open that I cannot even move without bumping into a million new questions.
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Tomorrow I'll be presenting some MLAI Automated AFM (Machine Learning and Artificial Intelligence Automated Atomic Force Microscopy) in Zurich. So I thought, why not ask AI how it will look like? XD
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This you can do when you have enough raw laser power. 💪
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