NASA’s SLS (Space Launch System) rocket carrying the Orion spacecraft launched on the Artemis I flight test, Wednesday, Nov. 16, 2022, from Launch Complex 39B at NASA’s Kennedy Space Center in Florida. NASA’s Artemis I mission was the first integrated flight test of the agency’s deep space exploration systems.
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The Expedition 72 crew explored new technologies on Friday including life support systems supported by photosynthesis, capturing satellites with robots, and cold welding in microgravity. The International Space Station residents also continued checking out spacesuits while keeping up standard lab maintenance tasks at the end of the week.
Using micro-algae to remove carbon dioxide, produce oxygen, and create food in the spacecraft environment is an important test for NASA as it plans longer human missions to the Moon, Mars, and beyond. NASA Flight Engineer Nick Hague worked in the Columbus laboratory module servicing samples of the Arthrospira C micro-algae for incubation and analysis. Scientists will expose the radiation-resistant samples to different light intensities while monitoring their cell growth and oxygen production. Results may advance life support systems and fresh food production in space.
Engineers are studying how satellites interact in close proximity with each other to learn how to capture space objects for servicing or removal. NASA Commander Suni Williams checked out the Astrobee robotic free-flyer in the Kibo laboratory module and installed tentacle-like arms containing gecko-like adhesive pads to demonstrate satellite capture techniques. Engineers on the ground then remotely-controlled the cube-shaped, toaster-sized robotic assistant testing its ability to conduct docking maneuvers and capture free-flying objects. Development of this robotic technology may increase the life span of satellites and enable the removal of space debris.
NASA Flight Engineers Don Pettit and Butch Wilmore worked on installing new scientific hardware to explore materials exposed to space radiation and test a spacecraft repair technique. Pettit set up external research gear inside Kibo that will be placed in the vacuum of space to observe how a variety of materials react to the extreme thermal environment, different types of radiation, micrometeoroids, and more to promote the space industry. Wilmore installed the Nanolab Astrobeat space repair experiment hardware in the Destiny laboratory module that will explore a cold-welding technique to repair micrometeoroid impacts to spacecraft.
Roscosmos Flight Engineers Alexey Ovchinin and Ivan Vagner were back on spacesuit duty Friday conducting leak checks, valve tests, and servicing the suits’ life support components. The duo is readying the suits for a spacewalk planned in mid-December. Cosmonaut Aleksandr Gorbunov primarily spent his day on orbital plumbing tasks before wrapping up his shift on computer maintenance in the Nauka science module.
Learn more about station activities by following the space station blog, @space_station and @ISS_Research on X, as well as the ISS Facebook and ISS Instagram accounts.
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Mark Garcia
NASA researchers Guan Yang, Jeff Chen, and their team received the 2024 Innovator of The Year Award at the agency’s Goddard Space Flight Center in Greenbelt, Maryland, for their exemplary work on a lidar system enhanced with artificial intelligence and other technologies.
Like a laser-based version of sonar, lidar and its use in space exploration is not new. But the lidar system Yang and Chen’s team have developed — formally the Concurrent Artificially-intelligent Spectrometry and Adaptive Lidar System (CASALS) — can produce higher resolution data within a smaller space, significantly increasing efficiency compared to current models.
The true revolution in CASALS is a unique combination of related technologies, such as highly efficient laser and receiver designs, wavelength-based, non-mechanical beam steering, multispectral imaging, and the incorporation of artificial intelligence to allow the instrument to make its own decisions while in orbit, instead of waiting for direction from human controllers on the ground.
“Existing 3D-imaging lidars struggle to provide the 2-inch resolution needed by guidance, navigation and control technologies to ensure precise and safe landings essential for future robotic and human exploration missions,” team engineer Jeffrey Chen said in an earlier interview. “Such a system requires 3D hazard-detection lidar and a navigation doppler lidar, and no existing system can perform both functions.”
The CASALS lidar is being developed to study land and ice topography, coastline changes, and other Earth science topics. Future applications in solar system science beyond our planet are already in the works, including space navigation improvements and high-resolution lunar mapping for NASA’s Artemis campaign to return astronauts to the Moon.
An effective and compact lidar system like CASALS could also map rocky planets like Venus or Mars.
NASA leveraged contributions from external Small Business Innovation Research companies such as Axsun Technologies, Freedom Photonics, and Left Hand for laser and optical technology to help make CASALS a reality.
The Internal Research and Development (IRAD) Innovator of The Year award is presented by Goddard’s Office of the Chief Technologist to a person or team within the program with a notable contribution to cutting-edge technology. The CASALS team was presented their award at a technology poster session on Nov. 6, 2024, at NASA Goddard.
By Avery Truman
NASA’s Goddard Space Flight Center, Greenbelt, Md.
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Rob Garner
At NASA, high-end computing is essential for many agency missions. This technology helps us advance our understanding of the universe – from our planet to the farthest reaches of the cosmos. Supercomputers enable projects across diverse research, such as making discoveries about the Sun’s activity that affects technologies in space and life on Earth, building artificial intelligence-based models for innovative weather and climate science, and helping redesign the launch pad that will send astronauts to space with Artemis II.
These projects are just a sample of the many on display in NASA’s exhibit during the International Conference for High Performance Computing, Networking, Storage and Analysis, or SC24. NASA’s Dr. Nicola “Nicky” Fox, associate administrator for the agency’s Science Mission Directorate, will deliver the keynote address, “NASA’s Vision for High Impact Science and Exploration,” on Tuesday, Nov. 19, where she’ll share more about the ways NASA uses supercomputing to explore the universe for the benefit of all. Here’s a little more about the work NASA will share at the conference:
Researchers at NASA Ames are helping ensure astronauts launch safely on the Artemis II test flight, the first crewed mission of the Space Launch System (SLS) rocket and Orion spacecraft, scheduled for 2025. Using the Launch Ascent and Vehicle Aerodynamics software, they simulated the complex interactions between the rocket plume and the water-based sound suppression system used during the Artemis I launch, which resulted in damage to the mobile launcher platform that supported the rocket before liftoff.
Comparing simulations with and without the water systems activated revealed that the sound suppression system effectively reduces pressure waves, but exhaust gases can redirect water and cause significant pressure increases.
The simulations, run on the Aitken supercomputer at the NASA Advanced Supercomputing facility at Ames, generated about 400 terabytes of data. This data was provided to aerospace engineers at NASA’s Kennedy Space Center in Florida, who are redesigning the flame deflector and mobile launcher for the Artemis II launch.
To help make commercial flight more efficient and sustainable, researchers and engineers at NASA’s Ames Research Center in California’s Silicon Valley are working to refine aircraft designs to reduce air resistance, or drag, by fine-tuning the shape of wings, fuselages, and other aircraft structural components. These changes would lower the energy required for flight and reduce the amount of fuel needed, produce fewer emissions, enhance overall performance of aircraft, and could help reduce noise levels around airports.
Using NASA’s Launch, Ascent, and Vehicle Aerodynamics computational modeling software, developed at Ames, researchers are leveraging the power of agency supercomputers to run hundreds of simulations to explore a variety of design possibilities – on existing aircraft and future vehicle concepts. Their work has shown the potential to reduce drag on an existing commercial aircraft design by 4%, translating to significant fuel savings in real-world applications.
Traditional weather and climate models produce global and regional results by solving mathematical equations for millions of small areas (grid boxes) across Earth’s atmosphere and oceans. NASA and partners are now exploring newer approaches using artificial intelligence (AI) techniques to train a foundation model.
Foundation models are developed using large, unlabeled datasets so researchers can fine-tune results for different applications, such as creating forecasts or predicting weather patterns or climate changes, independently with minimal additional training.
NASA developed the open source, publicly available Prithvi Weather-Climate foundation model (Prithvi WxC), in collaboration with IBM Research. Prithvi WxC was pretrained using 160 variables from NASA’s Modern-era Retrospective analysis for Research and Applications (MERRA-2) dataset on the newest NVIDIA A100 GPUs at the NASA Advanced Supercomputing facility.
Armed with 2.3 billion parameters, Prithvi WxC can model a variety of weather and climate phenomena – such as hurricane tracks – at fine resolutions. Applications include targeted weather prediction and climate projection, as well as representing physical processes like gravity waves.
To explore the extreme conditions inside neutron stars, researchers at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, are using a blend of simulation, observation, and AI to unravel the mysteries of these extraordinary cosmic objects. Neutron stars are the dead cores of stars that have exploded and represent some of the densest objects in the universe.
Cutting-edge simulations, run on supercomputers at the NASA Advanced Supercomputing facility, help explain phenomena observed by NASA’s Fermi Gamma-ray Space Telescope and Neutron star Interior Composition Explorer (NICER) observatory. These phenomena include the rapidly spinning, highly magnetized neutron stars known as pulsars, whose detailed physical mechanisms have remained mysterious since their discovery. By applying AI tools such as deep neural networks, the scientists can infer the stars’ mass, radius, magnetic field structure, and other properties from data obtained by the NICER and Fermi observatories.
The simulations’ unprecedented results will guide similar studies of black holes and other space environments, as well as play a pivotal role in shaping future scientific space missions and mission concepts.
The Sun’s activity, producing events such as solar flares and coronal mass ejections, influences the space environment and cause space weather disturbances that can interfere with satellite electronics, radio communications, GPS signals, and power grids on Earth. Scientists at NASA Ames produced highly realistic 3D models that – for the first time – allow them to examine the physics of solar plasma in action, from very small to very large scales. These models help interpret observations from NASA spacecraft like the Solar Dynamics Observatory (SDO).
Using NASA’s StellarBox code on supercomputers at NASA’s Advanced Supercomputing facility, the scientists improved our understanding of the origins of solar jets and tornadoes – bursts of extremely hot, charged plasma in the solar atmosphere. These models allow the science community to address long-standing questions of solar magnetic activity and how it affects space weather.
NASA simulations and observations can yield petabytes of data that are difficult to comprehend in their original form. The Scientific Visualization Studio (SVS), based at NASA Goddard, turns data into insight by collaborating closely with scientists to create cinematic, high-fidelity visualizations.
Key infrastructure for these SVS creations includes the NASA Center for Climate Simulation’s Discover supercomputer at Goddard, which hosts a variety of simulations and provides data analysis and image-rendering capabilities. Recent data-driven visualizations show a coronal mass ejection from the Sun hitting Earth’s magnetosphere using the Multiscale Atmosphere-Geospace Environment (MAGE) model; global carbon dioxide emissions circling the planet in the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) model; and representations of La Niña and El Niño weather patterns using the El Niño-Southern Oscillation (ENSO) model.
For more information about NASA’s virtual exhibit at the International Conference for High Performance Computing, Networking, Storage and Analysis, being held in Atlanta, Nov. 17-22, 2024, visit:
For more information about supercomputers run by NASA High-End Computing, visit:
For news media:
Members of the news media interested in covering this topic should reach out to the NASA Ames newsroom.
Authors: Jill Dunbar, Michelle Moyer, and Katie Pitta, NASA’s Ames Research Center; and Jarrett Cohen, NASA’s Goddard Space Flight Center
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Abby Tabor
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Jacqueline E. Zito
