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Robotic Arm Control Through Algorithmic Neural Decoding and Augmented Reality Object Detection
The ability of a robotic arm to be controlled only by human thought is made possible by the use of a brain-machine interface (BMI). This project sought to improve BMI user practicality by revising the Andersen Lab’s BMI robotic arm control system [1, 2]. It aimed to answer two questions: Does augmented reality benefit BMIs?…
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Collapse of Fuzzy Dark Matter in Simulations
Dark matter builds the backbone for galaxy formation in modern cosmological simulations. While the current dark matter paradigm is able to capture the large-scale structure of the Universe, it predicts more small-scale structure than is actually observed. This issue may be resolved with the theory of fuzzy dark matter, which is made of ultra-light, wavelike…
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Interview with Professor Joseph Falson
Interviewer: Audrey DeVault Biography Dr. Joseph Falson joined Caltech’s faculty in 2019 as a visiting associate with the Department of Applied Physics and Materials Science, and became an Assistant Professor of Materials Science in 2020. His research focuses on the synthesis and characterization of quantum materials that display emergent functionalities. Dr. Falson received his B.S…
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Elucidating Catalysis with the “Gold Standard” of Quantum Chemistry
Author: Patryk KozlowskiMentor: Garnet K. Chan and Yang GaoEditor: Hannah X. Chen Introduction Due to the imminent crisis of climate change, developing sustainable methods for fuel and chemical production has become more important than ever. A significant step towards progress comes from the electrochemistry processes which use renewable energy to convert molecules from the atmosphere…
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Are All Fast Radio Bursts the Same?
Author: Lucca S. de Mello†Mentor: Charles L. Steinhardt‡Editor: Laura Lewis †ldemello@caltech.edu, Caltech‡steinhardt@nbi.ku.dk, Cosmic Dawn Center Abstract: In 2007, astronomers discovered highly energetic, millisecond-long radio waves of extragalactic origin. These Fast Radio Bursts (FRBs) are poorly understood, and there is no definitive explanation for their origin yet. Using a novel machine learning technique, we have made…