News & Events

02-25-21

Devices known as optical parametric oscillators are among the widely used nonlinear resonators in optics; they are "nonlinear" in that there is light flowing into the system and light leaking out, but not at the same wavelengths. Though these oscillators are useful in a variety of applications, including in quantum optics experiments, the physics that underpins how their output wavelength, or spectrum, behaves is not well understood. "When you add strong nonlinearity to resonators, you enter what we call a 'rich physics regime,'" says Alireza Marandi, Assistant Professor of Electrical Engineering and Applied Physics. "'Rich' in physics terms usually means complicated and hard to use, but we need nonlinearities to create useful functionalities such as switching for computing." To be able to make full use of nonlinear optical resonators, researchers want to be able to understand and model the physics that underpin how they work. Marandi and his colleagues recently uncovered a potential way to engineer those rich physics, while discovering phase transitions in the light that is generated by the resonators. [Caltech story]

Tags: APhMS EE research highlights KNI Alireza Marandi

02-16-21

Metals that Work Like Magic, a podcast from the Wall Street Journal, features Jamil Tahir-Kheli, research staff member working with Carver Mead, Gordon and Betty Moore Professor of Engineering and Applied Science, Emeritus. The podcast focuses on the history of superconductivity research over the past forty years and potential applications.

Tags: EE research highlights CMS Carver Mead CNS Jamil Tahir-Kheli

01-14-21

There are things in life that can be predicted reasonably well. The tides rise and fall. A billiard ball bounces around a table according to orderly geometry. And then there are things that defy easy prediction: The hurricane that changes direction without warning. The splashing of water in a fountain. These phenomena and others like them can be described as chaotic systems. Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has developed a new tool that might help to better understand chaotic systems. [Caltech story]

Tags: EE research highlights MedE KNI Lihong Wang

12-07-20

Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has received funding for neuroscience projects from the National Institutes of Health's Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative. Wang and his team aim to develop a technology called 3D photoacoustic computed tomography (PACT) that will rapidly image large-scale neural activity in human brains with high sensitivity. "Photoacoustic imaging of adult human brains is one of the most challenging frontiers in our field," says Wang. "It requires innovation to overcome the signal attenuation and wavefront distortion due to the skull. I'm glad that the NIH has the vision to fund this worthy research direction." [Caltech story]

Tags: EE research highlights MedE KNI Lihong Wang

11-30-20

While existing models to predict the spread of a disease already exist, few, if any, incorporate artificial intelligence (AI). Yaser Abu-Mostafa, Professor of Electrical Engineering and Computer Science, is using a new model for predicting COVID-19's impact using AI and it dramatically outperforms other models, so much so that it has attracted the interest of public health officials across the country. "AI is a powerful tool, so it only makes sense to apply it to one of the most urgent problems the world faces," says Yaser Abu-Mostafa. [Caltech story]

Tags: EE research highlights CMS Yaser Abu-Mostafa CNS

10-19-20

Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has developed technology that can reach blistering speeds of 70 trillion frames per second, fast enough to see light travel. Just like the camera in your cell phone, though, it can only produce flat images. Now, Wang's lab has gone a step further to create a camera that not only records video at incredibly fast speeds but does so in three dimensions. [Caltech story]

Tags: EE research highlights MedE KNI Lihong Wang

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]

Tags: APhMS EE research highlights MedE CMS Oskar Painter KNI Andrei Faraon

08-25-20

A team of Caltech students, led by Yaser Abu-Mostafa, Professor of Electrical Engineering and Computer Science, 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]

Tags: EE research highlights CMS Yaser Abu-Mostafa CNS

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]

Tags: EE research highlights Changhuei Yang MedE KNI

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]

Tags: EE research highlights MedE KNI Lihong Wang