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Pollock – Harvard scientists reproduce drip-paint technique using AI and 3D printers

Joachim Rodriguez y Romero
Joachim Rodriguez y Romero
Thu, April 24, 2025, 4:28 p.m. CEST

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Can a machine be taught to paint like Jackson Pollock? More precisely: Can 3D printing Pollock 's special techniques to print complex forms quickly and precisely?

According to a group of researchers at Harvard University, it is possible. They artificial intelligence and physical principles develop an innovative 3D printing technique

Although their main goal is not to create a Pollock-like print using computer algorithms, they strive to produce complex shapes at a faster pace.

Show table of contents
1 Pollock and his unique drip-paint technique
2 Harvard researchers combine physics and machine learning to use Pollock's drip-paint technique for fast and precise 3D printing
3 Algorithm deciphers Jackson Pollock and the fluid dynamics of viscous materials
4 Results close a gap in modern 3D and 4D printing processes
4.1 You might also be interested in:

Pollock and his unique drip-paint technique

Pollock was a famous representative of abstract expressionism and best known for his drip painting technique (also action painting ). Instead of applying paint with a brush, he dripped it onto his works from above or flung it onto the canvas over a large area.

Drip paint paintings appear chaotic and uncoordinated
Drip paint paintings appear chaotic and uncoordinated.
Image source: Freepik

This process is pretty much the opposite of 3D printing, where the material to be printed is applied layer by layer with millimeter precision and from a very short distance to avoid instabilities.

Harvard researchers combine physics and machine learning to use Pollock's drip-paint technique for fast and precise 3D printing

This likely made the challenge all the greater for the Harvard research team led by the Indian-American mathematician and biologist Lakshminarayanan Mahadevan.

I wanted to know if it was possible to emulate Jackson Pollock and reverse-engineer what he did.”

L. Mahadevan , comments. The renowned researcher is also the director of the Soft Math Lab at Harvard.

Mahadevan and his team ( Gaurav Chaudhary, Stephanie Christ, A. John Hart) combined physics and machine learning to develop a new 3D printing technique that can quickly create complex physical patterns – including replicating a section of a Pollock painting – by harnessing the same natural fluid instability that Pollock used in his work.

The research was published in Soft Matter .

Algorithm deciphers Jackson Pollock and the fluid dynamics of viscous materials

Mathematically calculating the behavior of a liquid substrate under motion and gravity was a challenging task. The goal was to give the 3D printer appropriate instructions based on these calculations.

However, it was anything but simple, as there were many variables such as density, viscosity, and altitude that had to be taken into account. An essential source of inspiration was Mahadevan's earlier work on the fluid dynamics of honey report by heise online this research explained , among other things, how Jackson Pollock was able to apply his paint precisely despite his seemingly chaotic method.

The fully developed printer in action painting – action in the following video:

Results close a gap in modern 3D and 4D printing processes

Modern 3D and 4D printing methods circumvent the problem of unstable fluid flow by positioning the nozzle a short distance from the surface and moving it along a defined path from point A to point B, the research team explains.

This approach works well, but the process can be slow due to the need to apply ink or other printing materials at every point along the path. Furthermore, the proximity of the nozzle to the surface limits creative freedom, as natural fluid instabilities cannot be tolerated and must be avoided.

Pollock's approach of throwing paint from a great height meant that even if his hand moved along a certain trajectory, the paint would not follow that trajectory due to the acceleration caused by gravity

Gaurav Chaudhary explains . The former postdoctoral researcher at the Harvard School of Engineering and Applied Sciences and lead author of the study emphasized the importance of this technique in an interview:

Even the slightest movement can lead to significant ink splatter. Using this method, it's possible to print longer distances than one could actually move, as gravity provides free acceleration

This innovation thus allows for greater flexibility in the printing process.

To what extent the researchers or participants will now use the developed printing technique to create their own art in the style of Pollock and thus carry on his artistic legacy remains unknown… 😉

Owner and managing director of Kunstplaza . Publicist, editor and passionate blogger in the field of art, design and creativity since 2011.
Joachim Rodriguez y Romero

Owner and Managing Director of Kunstplaza . Publicist, editor, and passionate blogger in the fields of art, design, and creativity since 2011. Graduated with a degree in web design from university (2008). Further developed creative techniques through courses in freehand drawing, expressive painting, and theatre/acting. Profound knowledge of the art market gained through years of journalistic research and numerous collaborations with key players and institutions in the arts and culture sector.

www.kunstplaza.de

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AI Art – Art and Artificial Intelligence

In this magazine section, you will find numerous reports and articles about the use of artificial intelligence (AI) in art, design and architecture.

It's not just about the question of how AI can be used in these areas, but also about the impact this has on creative creation.

For while some experts believe that the use of AI will lead to a revolution in art and design, there are also voices from within the industry itself that are skeptical of AI art and AI-powered image generators.

An early example from 2016 of the use of AI in art is the project “The Next Rembrandt” . Here, software was developed that created a new painting in the style of the Dutch painter based on data analysis – without human intervention.

The result was surprisingly realistic and clearly demonstrated the potential of this technology even back then.

What does this development mean for traditional crafts? Will they become obsolete or can new opportunities be created?

These questions occupy many people both within and outside the industry alike.

In any case, the connection between art and artificial intelligence offers us exciting insights into possible future scenarios.

We warmly invite you to embark on an adventure of discovery with us!

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