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The Big Bang, as Simple as Possible

The big bang is the model that describes the birth and evolution of the universe. But where did the term come from? What does it actually mean?

Watch this video ad-free on Nebula:
https://nebula.tv/videos/scienceasylu

Nick Lucid — Host, Writer, Editor, Animator.
Em Lucid — Producer.

VIDEO ANNOTATIONS/CARDS

Element Origins:
• Not all your Atoms are Stardust.

Dynamic two-dimensional covalent organic frameworks

Two-dimensional covalent organic frameworks (2D COFs) enable the construction of bespoke functional materials, but designing dynamic 2D COFs is challenging. Now it has been shown that perylene-diimide-based COFs can open and close their pores upon uptake or removal of guests, while fully retaining their crystalline long-range order. Moreover, the variable COF geometry enables stimuli-responsive optoelectronic properties.

Einstein Challenged: Exploring the “Cosmic Glitch” in Gravity

Moving one step closer to understanding mysteries at the edge of the universe.

A group of researchers at the University of Waterloo and the University of British Columbia have discovered a potential “cosmic glitch” in the universe’s gravity, explaining its strange behavior on a cosmic scale.

For the last 100 years, physicists have relied upon Albert Einstein’s theory of “general relativity” to explain how gravity works throughout the universe. General relativity, proven accurate by countless tests and observations, suggests that gravity impacts not simply three physical dimensions but also a fourth dimension: time.

Probe3D: Study examines how well AI models understand the third dimension

A new study examines whether and how well multimodal AI models understand the 3D structure of scenes and objects.

Researchers from the University of Michigan and Google Research investigated the 3D awareness of multimodal models. The goal was to understand how well the representations learned by these models capture the 3D structure of our world.

According to the team, 3D awareness can be measured by two key capabilities: Can the models reconstruct the visible 3D surface from a single image, i.e., infer depth and surface information? Are the representations consistent across multiple views of the same object or scene?

Tweaking isotopes sheds light on promising approach to engineer semiconductors

Partly because of semiconductors, electronic devices and systems become more advanced and sophisticated every day. That’s why for decades researchers have studied ways to improve semiconductor compounds to influence how they carry electrical current. One approach is to use isotopes to change the physical, chemical and technological properties of materials.

Isotopes are members of a family of an element that all have the same number of protons but different numbers of neutrons and thus different masses. Isotope engineering has traditionally focused on enhancing so-called bulk materials that have uniform properties in three dimensions, or 3D.

But new research led by ORNL has advanced the frontier of isotope engineering where current is confined in two dimensions, or 2D, inside flat crystals and where a layer is only a few atoms thick. The 2D materials are promising because their ultrathin nature could allow for precise control over their .