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Improving Aircraft Design with Machine Learning and a More Efficient Model of Turbulent Airflows


Turbulent airflows are chaotic and unpredictable: consider the bumps and jolts one might experience during an airplane flight encountering turbulent air. With increased knowledge of turbulent airflows, airplane designs could become safer, more resilient, and ultimately more fuel efficient.  H. Jane Bae, Assistant Professor of Aerospace, has developed a way to use machine learning to further improve the design process. [Caltech story]

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Professor Bae Awarded Outstanding Referee by Physical Review


H. Jane Bae, Assistant Professor of Aerospace, has been awarded Outstanding Referee by the Physical Review. The Outstanding Referee program was instituted in 2008 to recognize scientists who have been exceptionally helpful in assessing manuscripts for publication in the American Physical Society (APS) journals. By means of the program, APS expresses its appreciation to all referees, whose efforts in peer review not only keep the standards of the journals at a high level, but in many cases also help authors to improve the quality and readability of their articles – even those that are not published by APS. [2022 Outstanding Referees]

Tags: honors GALCIT H. Jane Bae