New Publication on Enhancing Learning Outcomes for Materials Crystallography via Virtual Reality

A new publication titled “Enhancing Learning Outcomes for Materials Crystallography via Virtual Reality: Role of User Comfort and Game Design” was published in Journal of Chemical Education in January 2024. 

Enhancing Learning Outcomes for Materials Crystallography via Virtual Reality: Role of User Comfort and Game Design

This article is from our group’s MS graduate Dhanush Bejjarapu. Congratulations Dhanush for this very interesting work!

New Publication on Quantifying the Global Warming Potential of Low Carbon Concrete Mixes

A new publication titled “Quantifying the Global Warming Potential of Low Carbon Concrete Mixes: Comparison of Existing Life Cycle Analysis Tools” is set to be published in Case Studies in Construction Materials in July 2024. 

Quantifying the Global Warming Potential of Low Carbon Concrete Mixes: Comparison of Existing Life Cycle Analysis Tools

This article is from our group’s MS graduate Andrew Witte. Congratulations Andrew for this very interesting work!

The article can be accessed here

New Publication on the Impact of C–S–H Seeds on Cementitious Hydration Kinetics

A new publication titled “Impact of C–S–H Seeds on Cementitious Hydration Kinetics: New Insights on Porosity and Microstructure” is set to be published in Materials Today Communications in March 2024. 

Impact of C–S–H Seeds on Cementitious Hydration Kinetics: New Insights on Porosity and Microstructure

This article is from our group’s PhD candidate Faisal Qadri. Additionally, MS candidate Sudharsan Kumar also contributed to this work. Congratulations Faisal and Sudharsan for this very interesting work!

The article can be accessed here

New Publication on Enhancing Phase Identification in Waste-to-Energy Fly Ashes

A new publication titled “Enhancing Phase Identification in Waste-to-Energy Fly Ashes: Role of Raman Spectroscopy, Background Fluorescence, and Photobleaching” is set to be published in The Journal of Hazardous Materials in October 2023. 

Enhancing Phase Identification in Waste-to-Energy Fly Ashes: Role of Raman Spectroscopy, Background Fluorescence, and Photobleaching

This article is is the first one from our group’s postdoctoral researcher Dr. Hamza Samouh. Additionally, Ph.D. candidate Vikram Kumar and undergraduate student Halle-Mari Santiago also contributed to this work. Congratulations Hamza, Vikram, and Halle-Mari for this very interesting work!

The article can be accessed here

New Publication on Elucidating the Size and Shape of Individual Clinker Phases via Raman Imaging

A new publication titled “Elucidating the Size and Shape of Individual Clinker Phases via Raman Imaging: Impact on Cement Hydration” was published in The Journal of Physical Chemistry C in August 2023. 

Elucidating the Size and Shape of Individual Clinker Phases via Raman Imaging: Impact on Cement Hydration

This is the third article from our group’s Ph.D. candidate Krishna C. Polavaram. Congratulations Krishna for this very interesting work!

The article can be accessed here

New Publication on Early-stage Performance Enhancement of Concrete

A new publication titled “Early-stage Performance Enhancement of Concrete via Commercial C-S-H Seeds” was published in Case Studies in Construction Materials, in August 2023. 

Early-stage Performance Enhancement of Concrete via Commercial C-S-H Seeds

This is the first article from our group’s Ph.D. candidate Faisal Qadri. Congratulations Faisal for this very interesting work!

The article can be accessed here

New Publication on Rapid Prediction of Cementitious Initial Sorptivity

A new publication titled “Rapid Prediction of Cementitious Initial Sorptivity via Surface Wettability” was published in npj Materials Degradation, in July 2023. 

Rapid Prediction of Cementitious Initial Sorptivity via Surface Wettability

One of the tests to predict the durability of cement-based materials involves measurement of water uptake over time. This ‘sorptivity’ test, however, is laborious and time-consuming (continuous weight measurements over several hours to days).

Today, we report a rapid test method that exploits fundamental wetting characteristics of cementitious systems to predict their 6-hour initial sorptivity in a matter of few seconds. Enabled by computer vision, the quantification of drop spreading dynamics opens up a new pathway for rapid, automated, and affordable testing of cementitious systems.

This is the second article from our group’s Ph.D. candidate Hossein Kabir. Congratulations Hossein for this very interesting work!

The news release for this publication can be accessed here.

The article can be accessed here

New Publication on Machine Learning Enabled Contact Angle Goniometry

A new publication titled “Machine Learning Enabled Orthogonal Camera Goniometry for Accurate and Robust Contact Angle Measurements” was published in Scientific Reports, in January 2023. 

Machine learning enabled dual camera goniometry for contact angle measurements.

Understanding the wetting properties of surfaces is crucial for physical, chemical, and biological processes. However, conventional methods for accurately estimating contact angles, especially on hydrophilic surfaces, can be limited by optical distortions caused by moving droplets. In response, we have developed a new setup that combines Convolutional Neural Networks (CNN) with an automated orthogonal camera goniometer to estimate contact angles with high precision.

Our algorithm was trained on a dataset of 3375 images, including different lighting conditions and various degrees of Gaussian blurring, and was found to be less sensitive to edge effects than existing goniometers. In addition, our method was able to accurately analyze droplets of different colors and chemistries on a range of surfaces. The resulting contact angle measurements from our automated orthogonal camera goniometer exhibited significantly lower average standard deviation (6.7°) and coefficient of variation (14.9%) compared to existing techniques (average standard deviation of 14.6° and coefficient of variation of 29.2%). This demonstrates the reliability and precision of our method for characterizing the wetting properties of non-spherical droplets on heterogeneous surfaces.

This is the first article from our group’s Ph.D. candidate Hossein Kabir. Congratulations Hossein!

The article can be accessed here