NASA’s Micro-mission Lunar Trailblazer will make Macro-Measurements of the Lunar Surface in 2025

Missions like NASA’s TROPICS use a network of small satellites to take more data than one satellite would be able to do alone. NASA Applied Sciences

NASA’s upcoming Artemis II mission is slated to return astronauts to the moon no sooner than April 2026. Astronauts were last on the moon in 1972 during the Apollo 17 mission.

Artemis II will utilize NASA’s Space Launch System, which is an extremely powerful rocket that will enable human space exploration beyond Earth’s atmosphere. The crew of four will travel in an Orion spacecraft, which the agency launched around the moon and successfully returned during the Artemis I mission.

But before Artemis II, NASA will send two missions to scout the surface of the lunar south pole for resources that could sustain human space travel and e...

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Microplastics found in Multiple Human Organ Tissues Correlated with Lesions

Microplastics found in multiple human organ tissues correlated with lesions
Graphical abstract. Credit: TrAC Trends in Analytical Chemistry (2024). DOI: 10.1016/j.trac.2024.118114

Research led by Zhejiang Agriculture and Forestry University in China has performed a metadata investigation into the presence of microplastics in humans. They report a concerning relationship between micro and nanoplastic (MNP) concentrations in damaged tissues and links with multiple health conditions.

Plastic usage soared from 1.5 million metric tons in the 1950s to nearly 390.7 million in 2021. With the increased use in consumer products came elevated microscopic plastic pollution circulating in soil and waterways, eventually accumulating in the environment, food webs and human tissues.

Consistent methods to pinpoint and quantify MNPs in human tissues are lacking...

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Efficient Machine Learning: Predicting Material Properties with Limited Data

Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based methods to predict material properties even with limited data. This can aid in the discovery of materials with desired properties, such as semiconductors.

In recent years, materials engineers have turned to machine learning models to predict which types of materials can possess specific properties such as electronic band gaps, formation energies, and mechanical properties, in order to design new materials. However, data on material properties—which is needed to train these models—is limited because testing materials is expensive and time consuming.

This prompted researchers led by Sai Gautam Gopalakrishnan, Assistant Professor at the D...

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Observers Investigate a Nearby Galaxy Cluster Merger

Observations investigate a nearby galaxy cluster merger
Spectral separation image produced using a technique related to that of spectral tomography in order to highlight the flatter and steeper components in CIZA0107. Credit: arXiv (2024). DOI: 10.48550/arxiv.2412.15015

Using the Very Large Array (VLA), an international team of astronomers have observed a nearby galaxy merger known as CIZA J0107.7+5408. Results of the observational campaign, presented December 20 on the preprint server arXiv, could help us better understand the merging processes that take place between galaxy clusters.

Galaxy clusters contain up to thousands of galaxies bound together by gravity. They generally form as a result of mergers and grow by accreting subclusters...

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