Chapter
Improving Quantum Astrochemistry with Computational Analysis
51:09 - 56:51 (05:42)
The speaker discusses the use of computational analysis in improving quantum astrochemistry, including collecting gas data, creating fingerprints, and testing outcomes with experimental data.
Clips
Quantum astrochemistry heavily employs programming and computational techniques to solve complex problems such as applying machine learning to molecule identification in alien atmospheres.
51:09 - 53:45 (02:35)
Summary
Quantum astrochemistry heavily employs programming and computational techniques to solve complex problems such as applying machine learning to molecule identification in alien atmospheres.
ChapterImproving Quantum Astrochemistry with Computational Analysis
Episode#195 – Clara Sousa-Silva: Searching for Signs of Life on Venus and Other Planets
PodcastLex Fridman Podcast
The speaker explains that in order to improve the training set of molecules for machine learning, it is essential to collect huge amounts of data about the actual gases and to convince someone in a lab to measure them at outrageous temperatures.
53:45 - 55:12 (01:27)
Summary
The speaker explains that in order to improve the training set of molecules for machine learning, it is essential to collect huge amounts of data about the actual gases and to convince someone in a lab to measure them at outrageous temperatures. The ultimate goal is to do the full end-to-end process of gas collection, analysis, and applying machine learning to the data that comes from other planets.
ChapterImproving Quantum Astrochemistry with Computational Analysis
Episode#195 – Clara Sousa-Silva: Searching for Signs of Life on Venus and Other Planets
PodcastLex Fridman Podcast
The speaker discusses the challenges and dangers of working with gases that can poison or explode and expresses a lack of enjoyment for experimental work.
55:13 - 56:51 (01:37)
Summary
The speaker discusses the challenges and dangers of working with gases that can poison or explode and expresses a lack of enjoyment for experimental work.