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* members : https://www.fusionindustryassociation.org/about/members
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* members : https://www.fusionindustryassociation.org/about/members
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#Mars Apr. 11, 2025 (Sol 1472)
Credits images: NASA/JPL-Caltech/ASU
#Perseverance #rover#Sol1472#PerseveranceRover#Mars2020 #space#astrodon #science#STEM #geology#WitchHazelHill#NorthernRimCampaign #photography#Stereo3D#3D #stereoscopy #solarocks
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#HumanSpaceflight#SpaceTravel#SpaceExploration#SpaceColonization
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A shorter transfer time comes at the cost of higher fuel ⛽ requirements and less payload mass. Not only is it more difficult to reach the required delta-V, it’s also more difficult to stop. The spacecraft will need to brake harder to match velocities with Mars upon arrival https://www.marssociety.ca/2021/01/22/rocket-physics-how-to-go-to-mars
With a 6 m/s increase in the Delta-V budget, the deep reinforcement learning approach shortened the #aerobraking time by 68.3% 📉. The DRL algorithm does not encounter any thermal violations over 40 episodes compared to the 2.8 average thermal violations experienced by the state-of-the-art heuristic https://arc.aiaa.org/doi/10.2514/6.2022-2497
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With a 6 m/s increase in the Delta-V budget, the deep reinforcement learning approach shortened the #aerobraking time by 68.3% 📉. The DRL algorithm does not encounter any thermal violations over 40 episodes compared to the 2.8 average thermal violations experienced by the state-of-the-art heuristic https://arc.aiaa.org/doi/10.2514/6.2022-2497
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With a 6 m/s increase in the Delta-V budget, the deep reinforcement learning approach shortened the #aerobraking time by 68.3% 📉. The DRL algorithm does not encounter any thermal violations over 40 episodes compared to the 2.8 average thermal violations experienced by the state-of-the-art heuristic https://arc.aiaa.org/doi/10.2514/6.2022-2497
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