Advancing Future Quantum Science Efforts
08-27-20
Five new Department of Energy centers will apply quantum information science to emerging technologies. The centers will develop cutting-edge quantum technologies for use in a wide range of possible applications including scientific computing; fundamental physics and chemistry research; and the design of solar cells and of new materials and pharmaceuticals. Caltech faculty will participate in four of the new science centers: the Quantum Systems Accelerator, led by the Lawrence Berkeley National Laboratory, also known as Berkeley Lab; the Quantum Science Center, led by Oak Ridge National Laboratory; Q-NEXT, led by Argonne National Laboratory; and the Co-design Center for Quantum Advantage, led by Brookhaven National Laboratory. [Caltech story]
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CMS
Oskar Painter
Andrei Faraon
AI for a Better Prediction COVID-19 Model
08-25-20
A team of Caltech students, led by Professor Yaser Abu-Mostafa, have developed a tool to predict the impact of COVID-19 using artificial intelligence (AI). While many models to predict the spread of a disease already exist, few if any incorporate AI, which makes predications based on observations of what is actually happening as opposed to what the model's designers think should happen. AI has the power to discover patterns hidden in data that the human eye might not recognize. [Caltech story]
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CMS
Yaser Abu-Mostafa
A Pathway to Longer-Lasting Lithium Batteries
08-06-20
The energy density of batteries have been a major challenge for consumer electronics, electric vehicles, and renewable energy sources. Professor Julia R. Greer has made a discovery that could lead to lithium-ion batteries that are both safer and more powerful. Findings provide guidance for how lithium-ion batteries, one of the most common kinds of rechargeable batteries, can safely hold up to 50 percent more energy. "Every power-requiring application would benefit from batteries with lithium instead of graphite anodes because they can power so much more," says Greer. "Lithium is lightweight, it doesn't occupy much space, and it's tremendously energy dense." [Caltech story]
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MCE
Julia Greer
Katie Bouman Receives Okawa Research Grant
06-26-20
Katie Bouman, Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering; Rosenberg Scholar, is a recipient of a 2020 Okawa Foundation Research Grant for her work on "AI Meets Real-World Science: Optimal Sensing for Next-Generation Imaging." This is a prize awarded to faculty involved in the fields of computer science, information systems and/or telecommunications, and other scientific fields inspired by these approaches. [Past Recipients]
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Katie Bouman
IRCA Best Paper Awards
06-08-20
Two teams of Caltech researchers have won three International Conference on Robotics and Automation (ICRA) Best Paper Awards in multiple categories along with the overall best paper award. The ICRA is the largest and most prestigious robotics conference of the year. Awards are given on the basis of technical merit, originality, potential impact on the field, clarity of the written paper, and quality of the presentation. Maegan Tucker, Ellen Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel Burdick, and Aaron Ames, have won the ICRA Best Conference Paper Award and the ICRA Best Paper Award on Human-Robot Interaction (HRI) for their paper entitled "Preference-Based Learning for Exoskeleton Gait Optimization." Amanda Bouman, Paul Nadan, Matthew Anderson, Daniel Pastor, Jacob Izraelevitz, Joel Burdick, and Brett Kennedy, have won the ICRA Best Paper Award on Unmanned Aerial Vehicles for their paper entitled "Design and Autonomous Stabilization of a Ballistically Launched Multirotor." [Virtual Award Ceremony]
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CMS
Joel Burdick
Yisong Yue
Aaron Ames
Maegan Tucker
Ellen Novoseller
Claudia Kann
Yanan Sui
Amanda Bouman
Paul Nadan
Matthew Anderson
Daniel Pastor
Jacob Izraelevitz
Brett Kennedy
Seeing Through Opaque Media
05-12-20
Changhuei Yang, Thomas G. Myers Professor of Electrical Engineering, Bioengineering, and Medical Engineering, has developed a technique that combines fluorescence and ultrasound to peer through opaque media, such as biological tissue. "We hope that one day this method can be deployed to extend the operating depth of fluorescence microscopy and help image fluorescent labeled cells deep inside living animals," says Yang. [Caltech story]
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Changhuei Yang
MedE
New Ultrafast Camera Takes 70 Trillion Pictures Per Second
05-04-20
A new camera developed by Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, is capable of taking as many as 70 trillion frames per second. The camera technology, which Wang calls compressed ultrafast spectral photography (CUSP), combines a laser that emits extremely short pulses of laser light that last only one quadrillionth of a second (one femtosecond) with optics and a specialized type of camera. The technology could open up new avenues of research in fields that include fundamental physics, next-generation semiconductor miniaturization, and the life sciences. "We envision applications in a rich variety of extremely fast phenomena, such as ultrashort light propagation, wave propagation, nuclear fusion, photon transport in clouds and biological tissues, and fluorescent decay of biomolecules, among other things," Wang says. [Caltech story]
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Lihong Wang
