Dabiri Appointed to Secretary of Energy Advisory Board
10-15-21
The Department of Energy (DOE) has announced that John O. Dabiri, the Centennial Professor of Aeronautics and Mechanical Engineering, has been appointed to the Secretary of Energy Advisory Board (SEAB). The SEAB meets quarterly to advise Secretary of Energy Jennifer Granholm on how best to achieve the department's priorities and offer recommendations on scientific, technical, and programmatic issues relating to the DOE's mission. "I'm excited to work with the secretary to ensure strong support for fundamental science research, especially in areas where the technological application might be hard to predict today," Dabiri said. "Secretary Granholm's vision to accelerate deployment of climate solutions matches my own sense of urgency to advance sustainability. I'm honored by the opportunity provide advice where it can be helpful for achieving that goal." [Caltech story]
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honors
GALCIT
MCE
John Dabiri
MCE Remembers Mary Baker
09-30-21
Mary Baker, the Chair of our External Advisory Board, passed away on September 7, 2021 at age 77 in Del Mar, California. She was the only woman PhD student in engineering at Caltech in 1972. Mary joined Structural Dynamics Research Corporation where she adapted SDRC technology developments to the aerospace industry. Their solutions were so well received that they quickly became 90% supported by aerospace and worked on every launch vehicle in the country. A major contribution of Mary’s was to lead a NASA-funded project during the early stages of the space station design. [Obituary]
Dabiri Appointed to President's Council of Advisors on Science and Technology
09-22-21
President Joe Biden has announced the appointment of John O. Dabiri, Centennial Professor of Aeronautics and Mechanical Engineering, to the President's Council of Advisors on Science and Technology (PCAST). Presidents have established advisory committees of scientists, engineers, and health professionals ever since Franklin D. Roosevelt created his Science Advisory Board in 1933. "We're here to provide whatever input the president needs," Dabiri says. "My understanding is that we'll be meeting pretty frequently, as the president wants science to be a big part of his decision-making process." [Caltech story]
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honors
GALCIT
MCE
John Dabiri
The Science of Underground Kingdoms
08-24-21
A team led by the laboratory of Jose Andrade, George W. Housner Professor of Civil and Mechanical Engineering; Cecil and Sally Drinkward Leadership Chair, Department of Mechanical and Civil Engineering; Executive Officer for Mechanical and Civil Engineering, studied the digging habits of ants and uncovered the mechanisms guiding them. Before beginning this research, Andrade had a big question he wanted to answer: Do ants "know" how to dig tunnels, or are they just blindly digging? "I got inspired by these exhumed ant nests where they pour plastic or molten metal into them and you see these vast tunnel systems that are incredibly impressive," Andrade says. He enlisted the help of Joe Parker, Assistant Professor of Biology and Biological Engineering, whose research focuses on ants and their ecological relationships with other species. "What Jose and his team needed was somebody who works with ants and understands the adaptive, collective behaviors of these social insects to give them some context for what they were doing," Parker says. [Caltech story]
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MCE
Jose Andrade
Joe Parker
Robert Buarque de Macedo
Edward Andò
Shilpa Joy
Gioacchino Viggiani
Raj Kumar Pal
Material Inspired by Chain Mail Transforms from Flexible to Rigid on Command
08-12-21
Engineers at Caltech and JPL have developed a material inspired by chain mail that can transform from a foldable, fluid-like state into specific solid shapes under pressure. "We wanted to make materials that can change stiffness on command," says Chiara Daraio, G. Bradford Jones Professor of Mechanical Engineering and Applied Physics. "We'd like to create a fabric that goes from soft and foldable to rigid and load-bearing in a controllable way." To explore what materials would work best, Daraio, together with former Caltech postdoctoral researcher Yifan Wang and former Caltech graduate student Liuchi Li (PhD '19) as co-lead authors of the Nature paper, designed a number of configurations of linked particles, from linking rings to linking cubes to linking octahedrons (which resemble two pyramids connected at the base). The materials were 3-D printed out of polymers and even metals, with help from Douglas Hofmann, principal scientist at JPL, which Caltech manages for NASA. These configurations were then simulated in a computer with a model from the group of José E. Andrade, the George W. Housner Professor of Civil and Mechanical Engineering and Caltech's resident expert in the modeling of granular materials. [Caltech story]
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APhMS
Chiara Daraio
MCE
Jose Andrade
KNI
Yifan Wang
Liuchi Li
Nano-Architected Material Resists Impact Better Than Kevlar
06-25-21
Julia R. Greer, Ruben F. and Donna Mettler Professor of Materials Science, Mechanics and Medical Engineering; Fletcher Jones Foundation Director of the Kavli Nanoscience Institute, has developed a nano-architected material made from tiny carbon struts that is, pound for pound, more effective at stopping a projectile than Kevlar, a material commonly used in personal protective gear. "The knowledge from this work could provide design principles for ultra-lightweight impact resistant materials for use in efficient armor materials, protective coatings, and blast-resistant shields desirable in defense and space applications," says Greer. [Caltech story]
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MedE
MCE
Julia Greer
KNI
New Algorithm Helps Autonomous Vehicles Find Themselves, Summer or Winter
06-24-21
Without GPS, autonomous systems get lost easily. Now a new algorithm developed at Caltech allows autonomous systems to recognize where they are simply by looking at the terrain around them—and for the first time, the technology works regardless of seasonal changes to that terrain. The general process, known as visual terrain-relative navigation (VTRN), was first developed in the 1960s. By comparing nearby terrain to high-resolution satellite images, autonomous systems can locate themselves. The problem is that, in order for it to work, the current generation of VTRN requires that the terrain it is looking at closely matches the images in its database. To overcome this challenge, Anthony Fragoso, Lecturer in Aerospace; Staff Scientist, Connor Lee, Graduate student in Aerospace, Austin McCoy, Undergraduate, and Soon-Jo Chung, Bren Professor of Aerospace and Control and Dynamical Systems and research scientist at JPL, turned to deep learning and artificial intelligence (AI) to remove seasonal content that hinders current VTRN systems. [Caltech story]
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GALCIT
MCE
CMS
Soon-Jo Chung
Anthony Fragoso
Connor Lee
Austin McCoy