All articles tagged with #organic materials
NASA's analysis of asteroid Bennu samples revealed the presence of life-essential sugars like ribose and glucose, a unique gum-like organic substance, and abundant supernova dust, providing insights into the early solar system and the origins of life.
Data from NASA's defunct Dawn spacecraft suggests that the dwarf planet Ceres may have a rich reserve of organic materials, potentially supporting conditions for life. Researchers identified 11 regions on Ceres with high organic content, indicating these materials might originate from within the planet. This discovery challenges previous theories that organics were delivered by comets or asteroids. The findings highlight Ceres' significance in the search for extraterrestrial life and its potential as a resource base for future space missions. The study was published in the Planetary Science Journal.
Data from NASA's defunct Dawn spacecraft suggests that the dwarf planet Ceres may have a rich reserve of organic materials, potentially supporting the existence of life. Researchers identified 11 regions on Ceres with high organic content, indicating these materials might originate from within the planet. This discovery challenges previous theories that organics were delivered by comets or asteroids. The findings highlight Ceres' significance in the search for extraterrestrial life and its potential as a resource base for future space missions. The study was published in the Planetary Science Journal.
A new study using data from NASA's Dawn spacecraft has identified 11 regions on Ceres, a dwarf planet in the asteroid belt, suggesting the presence of an internal reservoir of organic materials. This discovery challenges previous theories that these materials were delivered by external impacts and instead supports the idea that they may have formed within Ceres. The findings, published in The Planetary Science Journal, highlight Ceres' potential astrobiological significance and its role in future space exploration.
Researchers from Carnegie Mellon University and Los Alamos National Laboratory have developed a new machine learning model, ANI-1xnr, that can simulate reactive processes in a diverse set of organic materials and conditions. This model requires significantly less computing power and time than traditional quantum mechanics models, making it a breakthrough in the field. The researchers tested ANI-1xnr on various chemical problems and found it to be accurate, with potential applications in simulating biochemical processes and drug discovery. They plan to refine the model to work with more elements and in more chemical areas in the future.