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By NASA
4 Min Read Stay Cool: NASA Tests Innovative Technique for Super Cold Fuel Storage
The tank for NASA’s two-stage cooling tests is lowered into a vacuum chamber in Test Stand 300 at NASA’s Marshall Space Flight Center in Huntsville, Alabama. Credits: NASA/Kathy Henkel In the vacuum of space, where temperatures can plunge to minus 455 degrees Fahrenheit, it might seem like keeping things cold would be easy. But the reality is more complex for preserving ultra-cold fluid propellants – or fuel – that can easily overheat from onboard systems, solar radiation, and spacecraft exhaust. The solution is a method called cryogenic fluid management, a suite of technologies that stores, transfers, and measures super cold fluids for the surface of the Moon, Mars, and future long-duration spaceflight missions.
Super cold, or cryogenic, fluids like liquid hydrogen and liquid oxygen are the most common propellants for space exploration. Despite its chilling environment, space has a “hot” effect on these propellants because of their low boiling points – about minus 424 degrees Fahrenheit for liquid hydrogen and about minus 298 for liquid oxygen – putting them at risk of boiloff.
In a first-of-its-kind demonstration, teams at NASA’s Marshall Space Flight Center in Huntsville, Alabama, are testing an innovative approach to achieve zero boiloff storage of liquid hydrogen using two stages of active cooling which could prevent the loss of valuable propellant.
“Technologies for reducing propellant loss must be implemented for successful long-duration missions to deep space like the Moon and Mars,” said Kathy Henkel, acting manager of NASA’s Cryogenic Fluid Management Portfolio Project, based at NASA Marshall. “Two-stage cooling prevents propellant loss and successfully allows for long-term storage of propellants whether in transit or on the surface of a planetary body.”
The new technique, known as “tube on tank” cooling, integrates two cryocoolers, or cooling devices, to keep propellant cold and thwart multiple heat sources. Helium, chilled to about minus 424 degrees Fahrenheit, circulates through tubes attached to the outer wall of the propellant tank.
NASA’s two-stage cooling testing setup sits in a vacuum chamber in Test Stand 300 at NASA’s Marshall Space Flight Center in Huntsville, Alabama. NASA/Tom Perrin The tank for NASA’s two-stage cooling tests is lowered into a vacuum chamber in Test Stand 300 at NASA’s Marshall Space Flight Center in Huntsville, Alabama.NASA/Kathy Henkel The tank for NASA’s two-stage cooling tests is lowered into a vacuum chamber in Test Stand 300 at NASA’s Marshall Space Flight Center in Huntsville, Alabama. NASA/Kathy Henkel The tank for NASA’s two-stage cooling tests is lowered into a vacuum chamber in Test Stand 300 at NASA’s Marshall Space Flight Center in Huntsville, Alabama. NASA/Kathy Henkel Teams installed the propellant tank in a test stand at NASA Marshall in early June, and the 90-day test campaign is scheduled to conclude in September. The tank is wrapped in a multi-layer insulation blanket that includes a thin aluminum heat shield fitted between layers. A second set of tubes, carrying helium at about minus 298 Fahrenheit, is integrated into the shield. This intermediate cooling layer intercepts and rejects incoming heat before it reaches the tank, easing the heat load on the tube-on-tank system.
To prevent dangerous pressure buildup in the propellant tank in current spaceflight systems, boiloff vapors must be vented, resulting in the loss of valuable fuel. Eliminating such propellant losses is crucial to the success of NASA’s most ambitious missions, including future crewed journeys to Mars, which will require storing large amounts of cryogenic propellant in space for months or even years. So far, cryogenic fuels have only been used for missions lasting less than a week.
“To go to Mars and have a sustainable presence, you need to preserve cryogens for use as rocket or lander return propellant,” Henkel said. “Rockets currently control their propellant through margin, where larger tanks are designed to hold more propellant than what is needed for a mission. Propellant loss isn’t an issue with short trips because the loss is factored into this margin. But, human exploration missions to Mars or longer stays at the Moon will require a different approach because of the very large tanks that would be needed.”
The Cryogenic Fluid Management Portfolio Project is a cross-agency team based at NASA Marshall and the agency’s Glenn Research Center in Cleveland. The cryogenic portfolio’s work is under NASA’s Technology Demonstration Missions Program, part of NASA’s Space Technology Mission Directorate, and is comprised of more than 20 individual technology development activities.
Learn more about cryogenic fluid management:
https://go.nasa.gov/cfm
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Last Updated Jul 18, 2025 EditorLee MohonContactCorinne M. Beckingercorinne.m.beckinger@nasa.govLocationMarshall Space Flight Center Related Terms
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By NASA
6 min read
Smarter Searching: NASA AI Makes Science Data Easier to Find
Image snapshot taken from NASA Worldview of NASA’s Global Precipitation Measurement (GPM) mission on March 15, 2025 showing heavy rain across the southeastern U.S. with an overlay of the GCMD Keyword Recommender for Earth Science, Atmosphere, Precipitation, Droplet Size. NASA Worldview Imagine shopping for a new pair of running shoes online. If each seller described them differently—one calling them “sneakers,” another “trainers,” and someone else “footwear for exercise”—you’d quickly feel lost in a sea of mismatched terminology. Fortunately, most online stores use standardized categories and filters, so you can click through a simple path: Women’s > Shoes > Running Shoes—and quickly find what you need.
Now, scale that problem to scientific research. Instead of sneakers, think “aerosol optical depth” or “sea surface temperature.” Instead of a handful of retailers, it is thousands of researchers, instruments, and data providers. Without a common language for describing data, finding relevant Earth science datasets would be like trying to locate a needle in a haystack, blindfolded.
That’s why NASA created the Global Change Master Directory (GCMD), a standardized vocabulary that helps scientists tag their datasets in a consistent and searchable way. But as science evolves, so does the challenge of keeping metadata organized and discoverable.
To meet that challenge, NASA’s Office of Data Science and Informatics (ODSI) at the agency’s Marshall Space Flight Center (MSFC) in Huntsville, Alabama, developed the GCMD Keyword Recommender (GKR): a smart tool designed to help data providers and curators assign the right keywords, automatically.
Smarter Tagging, Accelerated Discovery
The upgraded GKR model isn’t just a technical improvement; it’s a leap forward in how we organize and access scientific knowledge. By automatically recommending precise, standardized keywords, the model reduces the burden on human curators while ensuring metadata quality remains high. This makes it easier for researchers, students, and the public to find exactly the datasets they need.
It also sets the stage for broader applications. The techniques used in GKR, like applying focal loss to rare-label classification problems and adapting pre-trained transformers to specialized domains, can benefit fields well beyond Earth science.
Metadata Matchmaker
The newly upgraded GKR model tackles a massive challenge in information science known as extreme multi-label classification. That’s a mouthful, but the concept is straightforward: Instead of predicting just one label, the model must choose many, sometimes dozens, from a set of thousands. Each dataset may need to be tagged with multiple, nuanced descriptors pulled from a controlled vocabulary.
Think of it like trying to identify all the animals in a photograph. If there’s just a dog, it’s easy. But if there’s a dog, a bird, a raccoon hiding behind a bush, and a unicorn that only shows up in 0.1% of your training photos, the task becomes far more difficult. That’s what GKR is up against: tagging complex datasets with precision, even when examples of some keywords are scarce.
And the problem is only growing. The new version of GKR now considers more than 3,200 keywords, up from about 430 in its earlier iteration. That’s a sevenfold increase in vocabulary complexity, and a major leap in what the model needs to learn and predict.
To handle this scale, the GKR team didn’t just add more data; they built a more capable model from the ground up. At the heart of the upgrade is INDUS, an advanced language model trained on a staggering 66 billion words drawn from scientific literature across disciplines—Earth science, biological sciences, astronomy, and more.
NASA ODSI’s GCMD Keyword Recommender AI model automatically tags scientific datasets with the help of INDUS, a large language model trained on NASA scientific publications across the disciplines of astrophysics, biological and physical sciences, Earth science, heliophysics, and planetary science. NASA “We’re at the frontier of cutting-edge artificial intelligence and machine learning for science,” said Sajil Awale, a member of the NASA ODSI AI team at MSFC. “This problem domain is interesting, and challenging, because it’s an extreme classification problem where the model needs to differentiate even very similar keywords/tags based on small variations of context. It’s exciting to see how we have leveraged INDUS to build this GKR model because it is designed and trained for scientific domains. There are opportunities to improve INDUS for future uses.”
This means that the new GKR isn’t just guessing based on word similarities; it understands the context in which keywords appear. It’s the difference between a model knowing that “precipitation” might relate to weather versus recognizing when it means a climate variable in satellite data.
And while the older model was trained on only 2,000 metadata records, the new version had access to a much richer dataset of more than 43,000 records from NASA’s Common Metadata Repository. That increased exposure helps the model make more accurate predictions.
The Common Metadata Repository is the backend behind the following data search and discovery services:
Earthdata Search International Data Network Learning to Love Rare Words
One of the biggest hurdles in a task like this is class imbalance. Some keywords appear frequently; others might show up just a handful of times. Traditional machine learning approaches, like cross-entropy loss, which was used initially to train the model, tend to favor the easy, common labels, and neglect the rare ones.
To solve this, NASA’s team turned to focal loss, a strategy that reduces the model’s attention to obvious examples and shifts focus toward the harder, underrepresented cases.
The result? A model that performs better across the board, especially on the keywords that matter most to specialists searching for niche datasets.
From Metadata to Mission
Ultimately, science depends not only on collecting data, but on making that data usable and discoverable. The updated GKR tool is a quiet but critical part of that mission. By bringing powerful AI to the task of metadata tagging, it helps ensure that the flood of Earth observation data pouring in from satellites and instruments around the globe doesn’t get lost in translation.
In a world awash with data, tools like GKR help researchers find the signal in the noise and turn information into insight.
Beyond powering GKR, the INDUS large language model is also enabling innovation across other NASA SMD projects. For example, INDUS supports the Science Discovery Engine by helping automate metadata curation and improving the relevancy ranking of search results.The diverse applications reflect INDUS’s growing role as a foundational AI capability for SMD.
The INDUS large language model is funded by the Office of the Chief Science Data Officer within NASA’s Science Mission Directorate at NASA Headquarters in Washington. The Office of the Chief Science Data Officer advances scientific discovery through innovative applications and partnerships in data science, advanced analytics, and artificial intelligence.
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Last Updated Jul 09, 2025 Related Terms
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By NASA
NASA/JPL-Caltech/MSSS The United States flag adorns an aluminum plate mounted at the base of the mast, or “head,” of NASA’s Perseverance Mars rover. This image of the plate was taken on June 28, 2025 (the 1,548th day, or sol, of the mission), by the WATSON (Wide Angle Topographic Sensor for Operations and eNgineering) camera on the end of the rover’s robotic arm.
WATSON, part of an instrument called SHERLOC (Scanning Habitable Environments with Raman & Luminescence for Organics & Chemicals), was built by Malin Space Science Systems (MSSS) in San Diego and is operated jointly by MSSS and NASA’s Jet Propulsion Laboratory in Southern California. JPL, which is managed for the agency by Caltech, built and manages operations of the Perseverance rover.
Learn more about Perseverance’s latest science.
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By NASA
Artist’s concept of the star HIP 67522 with a flare erupting toward an orbiting planet, HIP 67522 b. A second planet, HIP 67522 c, is shown in the background. Janine Fohlmeister, Leibniz Institute for Astrophysics Potsdam The Discovery
A giant planet some 400 light-years away, HIP 67522 b, orbits its parent star so tightly that it appears to cause frequent flares from the star’s surface, heating and inflating the planet’s atmosphere.
Key Facts
On planet Earth, “space weather” caused by solar flares might disrupt radio communications, or even damage satellites. But Earth’s atmosphere protects us from truly harmful effects, and we orbit the Sun at a respectable distance, out of reach of the flares themselves.
Not so for planet HIP 67522 b. A gas giant in a young star system – just 17 million years old – the planet takes only seven days to complete one orbit around its star. A “year,” in other words, lasts barely as long as a week on Earth. That places the planet perilously close to the star. Worse, the star is of a type known to flare – especially in their youth.
In this case, the proximity of the planet appears to result in fairly frequent flaring.
Details
The star and the planet form a powerful but likely a destructive bond. In a manner not yet fully understood, the planet hooks into the star’s magnetic field, triggering flares on the star’s surface; the flares whiplash energy back to the planet. Combined with other high-energy radiation from the star, the flare-induced heating appears to have increased the already steep inflation of the planet’s atmosphere, giving HIP 67522 b a diameter comparable to our own planet Jupiter despite having just 5% of Jupiter’s mass.
This might well mean that the planet won’t stay in the Jupiter size-range for long. One effect of being continually pummeled with intense radiation could be a loss of atmosphere over time. In another 100 million years, that could shrink the planet to the status of a “hot Neptune,” or, with a more radical loss of atmosphere, even a “sub-Neptune,” a planet type smaller than Neptune that is common in our galaxy but lacking in our solar system.
Fun Facts
Four hundred light-years is much too far away to capture images of stellar flares striking orbiting planets. So how did a science team led by Netherlands astronomer Ekaterina Ilin discover this was happening? They used space-borne telescopes, NASA’s TESS (Transiting Exoplanet Survey Satellite) and the European Space Agency’s CHEOPS (CHaracterising ExoPlanets Telescope), to track flares on the star, and also to trace the path of the planet’s orbit.
Both telescopes use the “transit” method to determine the diameter of a planet and the time it takes to orbit its star. The transit is a kind of mini-eclipse. As the planet crosses the star’s face, it causes a tiny dip in starlight reaching the telescope. But the same observation method also picks up sudden stabs of brightness from the star – the stellar flares. Combining these observations over five years’ time and applying rigorous statistical analysis, the science team revealed that the planet is zapped with six times more flares than it would be without that magnetic connection.
The Discoverers
A team of scientists from the Netherlands, Germany, Sweden, and Switzerland, led by Ekaterina Ilin of the Netherlands Institute for Radio Astronomy, published their paper on the planet-star connection, “Close-in planet induces flares on its host star,” in the journal Nature on July 2, 2025.
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By European Space Agency
Astronomers using the NASA/ESA/CSA James Webb Space Telescope have captured compelling evidence of a planet with a mass similar to Saturn orbiting the young nearby star TWA 7.
If confirmed, this would represent Webb’s first direct image discovery of a planet, and the lightest planet ever seen with this technique.
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