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Rocket science? 3D printing soft matter in zero gravity

What happens to soft matter when gravity disappears? To answer this, UvA physicists launched a fluid dynamics experiment on a sounding rocket. The suborbital rocket reached an altitude of 267 km before falling back to Earth, providing six minutes of weightlessness.

In these six minutes, the researchers 3D-printed large droplets of a soft material similar to the inks used for bioprinting —a developing technology that shows huge potential for regenerative and personalized medicine, tissue engineering and cosmetics. Bioprinting involves 3D-printing a mix of cells and bio-inks or bio-materials in a desired shape, often to construct living tissues.

The experiment was called COLORS (COmplex fluids in LOw gravity: directly observing Residual Stresses). Using a special optical set-up, the researchers could see where the printed material experienced internal stresses (forces) as the droplets spread and merged. Stressed regions stand out as bright colors in the experiment. Investigating how and where these stresses emerge is important because they can get frozen in a material as it solidifies, creating weak points where 3D-printed objects are most likely to break.

Mathematics for Computer Science

This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

Frozen on the ice: The brain science behind perfect Olympic timing

Olympic skiers, bobsledders and speed skaters all have to master one critical moment: when to start. As athletes prepare for the upcoming Winter Olympics, that split second is in the spotlight because when everyone is fast, strong and skilled, a moment of hesitation can separate gold from silver. Research from Carnegie Mellon University helps explain why that split-second pause happens and how the brain controls it, offering insight not only into elite athletic performance, but also how people make everyday decisions when the outcome isn’t clear.

Eric Yttri, associate professor of biological sciences, wanted to study how the brain decides when to act and when to wait, especially when the outcome is uncertain. He said to think about the moment the puck drops at a heated rivalry hockey game.

“Move too early, you get ejected from the faceoff. Move too late, and the puck is already gone. Having that sort of fine control on your ability to delay your action is really key,” Yttri said. “It’s a sword that cuts both ways.”

Mathematical Innovation Advances Complex Simulations for Science’s Toughest Problems

Berkeley researchers have developed a proven mathematical framework for the compression of large reversible Markov chains—probabilistic models used to describe how systems change over time, such as proteins folding for drug discovery, molecular reactions for materials science, or AI algorithms making decisions—while preserving their output probabilities (likelihoods of events) and spectral properties (key dynamical patterns that govern the system’s long-term behavior).

While describing the dynamics of ubiquitous physical systems, Markov chains also allow for rich theoretical and computational investigation. By exploiting the special mathematical structure behind these dynamics, the researchers’ new theory delivers models that are quicker to compute, equally accurate, and easier to interpret, enabling scientists to efficiently explore and understand complex systems. This advance sets a new benchmark for efficient simulation, opening the door to scientific explorations once thought computationally out of reach.

Background.

Can Science Explain Everything? — Sean Carroll

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VIDEO NOTES

Sean Carroll is an American theoretical physicist who specializes in quantum mechanics, cosmology, and the philosophy of science.

Continue reading “Can Science Explain Everything? — Sean Carroll” | >

Video: Why ‘basic science’ is the foundation of innovation

At first glance, some scientific research can seem, well, impractical. When physicists began exploring the strange, subatomic world of quantum mechanics a century ago, they weren’t trying to build better medical tools or high-speed internet. They were simply curious about how the universe worked at its most fundamental level.

Yet without that “curiosity-driven” research—often called basic science—the modern world would look unrecognizable.

“Basic science drives the really big discoveries,” says Steve Kahn, UC Berkeley’s dean of mathematical and physical sciences. “Those paradigm changes are what really drive innovation.”

Quantum tools set to transform life science, researchers say

A team at Japan’s National Institutes for Quantum Science and Technology (QST) has published a field-defining Perspective that places the societal payoff of quantum technologies front and center: earlier disease detection, faster drug development, and new routes to clean energy. Their paper has been published online in the journal ACS Nano on December 18, 2025.

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