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Brittany Earle (ChemEngr’15)

2025-02-13 - 2025-02

RAA Brittany Earle headshot
Brittany Earle, 2025 Recent Alumni Award recipient
Engineering Alumni Awards
2025 Recent Alumni Award recipient
Earle is an alumna of the University of Colorado Boulder and a prominent leader in the chemical manufacturing industry. With a remarkable academic career, she graduated summa cum laude and was recognized as the Outstanding Graduate of the College of Engineering and Applied Science. Additionally, she was honored with both the prestigious Goldwater and Boettcher scholarships. Her academic journey was marked by leadership roles, including serving as program manager for the Engineers Without Borders Nepal Chapter, where she worked on global engineering initiatives to increase access to clean water and hygiene education.
Earle serves as the project execution owner of a multimillion-dollar plant improvement project at BASF�s site in Geismar, Louisiana, the company�s largest site in North America and one of the largest globally. She has made her mark in the chemical manufacturing industry as an engineer consistently working to drive sustainable solutions and optimize plant operations.
In the first 10 years of her career, Earle has continued to make a global impact, and her work has set benchmarks for numerous best practices within BASF, especially as it relates to process safety management, risk management and Responsible Care management work processes. She has worked at eight different BASF sites and production plants, both in the U.S. and internationally. Earle has transitioned from technical operational roles to strategic roles, managing significant projects and positively impacting business success. One of her most notable career accomplishments to date has been as commissioning manager of a new $30 million reactor system, an experience in which she applied many of the chemical engineering principles taught at CU Boulder in a fast-paced environment to achieve a safe and successful plant startup on schedule and under budget.
Earle remains dedicated as an active alumna of CU Boulder, and her commitment to giving back to the next generation of engineering students has been evident in her involvement with numerous departments, programs, and advisory boards across the campus over the past decade. As a member of the Department of Chemical and Biological Engineering�s External Advisory Board since 2018, Earle contributes her industry expertise to guide the department's strategic direction. In this role, she provides insights into curriculum development, mentorship programs, and initiatives that enhance the educational experience for current students. Earle served as the executive committee chair for the EAB from 2021-23, and she co-led the creation of the �Chem-E Buff Chats� program in 2020 to assist graduating seniors in securing jobs after graduation during the COVID-19 pandemic. Her dedication to fostering a strong relationship between academia and industry has been pivotal in aligning the department�s objec

Terabytes of Data in a Millimeter Crystal

2025-02-18 - 2025-02

By making ones and zeroes out of defects the size of an individual atom, researchers can store data in tiny crystals.
From punch card-operated looms in the 1800s to modern cellphones, if an object has an �on� and an �off� state, it can be used to store information.
In a computer laptop, the binary ones and zeroes are transistors either running at low or high voltage. On a compact disc, the one is a spot where a tiny indented �pit� turns to a flat �land� or vice versa, while a zero is when there�s no change.
Historically, the size of the object making the �ones� and �zeroes� has put a limit on the size of the storage device. But now, University of Chicago Pritzker School of Molecular Engineering (UChicago PME) researchers have explored a technique to make ones and zeroes out of crystal defects, each the size of an individual atom, for classical computer memory applications.
Their research was published today in Nanophotonics.
�Each memory cell is a single missing atom � a single defect,� said UChicago PME Asst. Prof. Tian Zhong. �Now you can pack terabytes of bits within a small cube of material that's only a millimeter in size.�
The innovation is a true example of UChicago PME�s interdisciplinary research, using quantum techniques to revolutionize classical, non-quantum computers and turning research on radiation dosimeters � most commonly known as the devices that store how much radiation hospital workers absorb from X-ray machines � into groundbreaking microelectronic memory storage.
�We found a way to integrate solid-state physics applied to radiation dosimetry with a research group that works strongly in quantum, although our work is not exactly quantum,� said first author Leonardo Fran�a, a postdoctoral researcher in Zhong�s lab. �There is a demand for people who are doing research on quantum systems, but at the same time, there is a demand for improving the storage capacity of classical non-volatile memories. And it's on this interface between quantum and optical data storage where our work is grounded.�
From radiation dosimetry to optical storage
The research got its start during Fran�a�s PhD research at the University of S�o Paulo in Brazil. He was studying radiation dosimeters, the devices that store how much radiation workers in hospitals, synchrotrons and other radiation facilities receive on the job.
�In the hospitals and in particle accelerators, for instance, it�s needed to monitor how much of a radiation dose people are exposed to,� said Fran�a. �There are some materials that have this ability to absorb radiation and store that information for a certain amount of time.�
He soon became fascinated about how through optical techniques � shining a light � he could manipulate and �read� that information.
�When the crystal absorbs sufficient energy, it releases electrons and holes. And these charges are captured by the defects,� Fran�a said. �We can read that information. You can release the electrons, and we can read the inf

Framework for investigating structure cracking using real engineering data combined with physics constraints

2025-02-21 - 2025-02

Accurate description of the condition of engineering structures is important for ensuring structural safety. Traditional analysis methods based on simplified physical mechanisms cannot accurately characterize the structural condition and neglect the value of the large amount of data generated during the construction process. This paper proposes a data-driven analysis framework that combines physical principles, dimensionality reduction techniques and ensemble learning models to trace back the deep-seated connections between data, achieving multi-factor analysis of structural defects. Using concrete structural cracks in a certain project as an example, the framework considers full life-cycle data, including material, environment, and construction processes, to construct an assessment model. The results show that by establishing a mapping relationship between construction data and structural condition, and integrating cumulative indicators from different construction stages, a reference for describing the structural safety condition can be provided to some extent, along with optimization suggestions, offering an analytical perspective for solving complex structural problems in engineering.

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