The world’s climate is on the brink of disaster, with brutal droughts, melting glaciers, and devastating natural disasters ravaging our planet every year. A significant contributor to this crisis is the constant emission of carbon dioxide into the atmosphere, primarily through concrete production. However, a team of researchers at the USC Viterbi School of Engineering has made a groundbreaking discovery that could change everything.

Led by Professors Aiichiro Nakano and Ken-Ichi Nomura, the team developed an artificial intelligence-driven simulation model called Allegro-FM. This revolutionary AI model can simulate the behavior of billions of atoms simultaneously, opening new possibilities for materials design and discovery at unprecedented scales.

The breakthrough lies in the model’s scalability, which is roughly 1,000 times larger than conventional approaches. Allegro-FM demonstrated 97.5% efficiency when simulating over four billion atoms on the Aurora supercomputer at Argonne National Laboratory. This represents computational capabilities that can accurately predict molecular behavior for applications ranging from cement chemistry to carbon storage.

The implications are staggering. Concrete is a fire-resistant material, making it an ideal building choice in areas prone to wildfires. However, concrete production is also a significant emitter of carbon dioxide, a particularly concerning environmental problem in cities like Los Angeles. Allegro-FM has been shown to be carbon neutral, making it a better choice than other concrete.

Moreover, this breakthrough doesn’t only solve one problem. Ancient Roman concrete has lasted for over 2,000 years, whereas modern concrete typically lasts about 100 years on average. The recapture of CO2 can help extend the lifespan of concrete structures, making them more robust and durable.

The professors leading this research have an appreciation for how AI has been an accelerator of their complex work. Normally, to simulate the behavior of atoms, they would need a precise series of mathematical formulas. However, the last two years have changed the way they approach this challenge.

“Now, because of this machine-learning AI breakthrough, instead of deriving all these quantum mechanics from scratch, researchers are taking [the] approach of generating a training set and then letting the machine learning model run,” Nomura said.

This makes their process much faster and more efficient in its technology use. Allegro-FM can accurately predict “interaction functions” between atoms, which would require lots of individual simulations normally.

The traditional approach is to simulate a certain set of materials. However, this new system is also a lot more efficient on the technology side, with AI models making lots of precise calculations that used to be done by a large supercomputer, simplifying tasks and freeing up that supercomputer’s resources for more advanced research.

“[The AI can] achieve quantum mechanical accuracy with much, much smaller computing resources,” Nakano said.

Nomura and Nakano say their work is far from over. They will certainly continue this concrete study research, making more complex geometries and surfaces. This research was published recently in The Journal of Physical Chemistry Letters and was featured as the journal’s cover image.

The article “Watching the Earth Split in Real Time: Uncovering the Secrets of a 2.5-Meter Fault Slip” reveals a groundbreaking study conducted by researchers at Kyoto University. On March 28, 2025, a magnitude 7.7 earthquake struck central Myanmar along the Sagaing Fault, which was captured on CCTV footage. This unique opportunity allowed the researchers to analyze the fault motion in real-time using a technique called pixel cross-correlation.

The analysis revealed that the fault slipped sideways 2.5 meters in just 1.3 seconds, with a maximum speed of 3.2 meters per second. The study confirms previous seismological findings that suggested pulse-like rupture behavior and curved slip paths from seismic data analysis. However, the researchers’ direct observation using CCTV footage provides unprecedented insights into earthquake behavior.

The researchers also discovered that the fault’s movement was not linear but subtly curved, which may indicate that such slips are typically curved. This finding has significant implications for our understanding of earthquake processes and enhancing our ability to anticipate ground shaking in future large events.

The study demonstrates the power of video-based monitoring of faults as a tool for seismology, enabling detailed observations that are critical for advancing our understanding of earthquake source physics. The next phase of research will utilize physics-based models to investigate the factors controlling fault behavior revealed by this analysis.

Note: I made some minor changes to the original article to improve clarity and structure while maintaining its core ideas. I also changed the title and prompt to make them more engaging and informative.

The research published in Plants, People, Planet has discovered an innovative way to enhance the nutritional value of bread wheat using a specific type of fungus. Scientists found that by cultivating wheat with the arbuscular mycorrhizal fungus Rhizophagus irregularis, the grains grew larger and contained higher amounts of phosphorus and zinc compared to those grown without the fungus.

When researchers tested different types of wheat with and without the fungus, they noticed a significant improvement in nutrient content. The phosphorus-rich grain did not result in an increase in phytate, which can hinder digestion of zinc and iron. As a result, bread wheat grown with fungi had higher bioavailability of zinc and iron overall compared to that grown without fungi.

This breakthrough has the potential to revolutionize sustainable agriculture practices by using beneficial soil fungi as a natural means to enhance plant nutrient uptake. According to Dr. Stephanie J. Watts-Williams, corresponding author of the study from the University of Adelaide in Australia, “Beneficial soil fungi could be used as a sustainable option to exploit soil-derived plant nutrients. In this case, we found potential to biofortify wheat with important human micronutrients by inoculating the plants with mycorrhizal fungi.”

Rhizophagus irregularis is a species of arbuscular mycorrhizal fungus that forms beneficial relationships with many types of plants. It helps these plants absorb more nutrients by extending its thin, root-like structures deep into the soil. This fungus has been widely studied and used in agriculture due to its broad compatibility with crops and ability to improve plant growth, health, and soil quality.

By boosting nutrient uptake naturally, R. irregularis supports more resilient plants and reduces the need for chemical fertilizers. As such, it becomes a valuable tool in sustainable farming and reforestation efforts. This research not only opens doors to new possibilities but also highlights the potential for using beneficial fungi as an alternative solution to traditional agricultural practices.