Physics Colloquium Series - Spring 2019

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Since he has successfully attained employment in academia, industry and the government, Dr. DeAntonio has a lot of tips to help you get a job. He has worked as a post-doc and professor, as well as an engineer, research scientist, test equipment developer, incoming inspection designer, computer programmer and manager. He had jobs that require top secret clearance and even been self-employed. He has several patents and trade secrets and worked in the fields of fiber optics, CADD software design, global warming, atmospheric science and future combat systems. He has even been in the predicament of unemployment. In the presentation, Dr. DeAntonio will cover the basics of networking, searching for a job, creating a good resume or CV and doing a successful interview. The presentation will be very informal. So, come with your questions and concerns and he will be ready to give you his best advice.

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Finding new materials with targeted properties with as few experiments as possible has been a key goal of the materials genome initiative, now expanding in several countries. The enormous complexity due to the interplay of structural, chemical and microstructural degrees of freedom in materials makes the rational design of new materials rather difficult. Machine learning and optimization, used in industry for solving complex problems, are increasingly being adapted for the design of new materials by rapidly learning from past data and making smart decisions. However, the number of well characterized samples available as sources of data to learn from is often typically small. I will review some of the examples we have examined, including guiding experiments for more desirable alloys and ceramics and the use of high throughput electronic structure calculations to find new perovskites.

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Acoustic tomography of the atmosphere is similar to that in medicine where ultrasound or x-rays probe an organ of a human body resulting in an "image" of that organ. In the case of acoustic tomography of the atmosphere, acoustic pulses are used to measure the travel times of sound propagation between different pairs of speakers and microphones, which are arranged so as to create propagation paths through the region to be sampled. Then, the temperature and wind velocity fields inside the tomographic region are reconstructed by inverting the travel times. This presentation overviews general principles and concepts of tomography, a historic perspective of acoustic tomography of the atmosphere, and tomography arrays which have been used in the past. A forward problem in acoustic tomography of the atmosphere is formulated. Inverse algorithms for reconstruction of the temperature and wind velocity fields from the travel times are reviewed. The instrumentation and principle of operation of a tomography array at the Boulder Atmospheric Observatory (BAO) are explained. The array enabled horizontal-slice tomography at a height of 8 m above the ground, in an 80 m x 80 m region. Results in numerical simulations of the BAO tomography array and reconstruction of turbulence fields in tomography experiments are presented. Acoustic tomography can also be performed at other spatial scales, ranging from a size of an ultrasonic anemometer/thermometer to the height of the atmospheric boundary layer. Future developments in acoustic tomography of the atmosphere are discussed.

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