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Rheostructurally-informed Neural Networks for Geopolymer Material Design

Project Personnel

Safa Jamali

Principal Investigator

Northeastern University

Hilmar Koerner

Air Force Research Laboratory

Emanuela Del Gado

Georgetown University

Norman Wagner

University of Delaware

Jacob Monzel

Air Force Research Laboratory

Funding Divisions

Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET)

Geopolymers are inorganic and non-crystalline structural materials that can be obtained from natural soils via a chemical activation. They have great potential as additives to reduce cement consumption in construction and thus can help reducing green-house gas emissions of cement manufacturing. They also promote the adoption of local soil resources for traditional and 3D printing-based construction. Important for human space exploration, geopolymers can be also formed from lunar and Martian soils with limited water, and thus are excellent candidates for space infrastructure such as landing pads and shelters. However, at present processing of geopolymers into desirable structures remains far behind their laboratory scale performance, due to the wide range of chemistries and characteristics of different indigenous geopolymers. 

This award combines experiments, microscopic simulations, and machine learning approaches that will enable scientists and engineers to effectively design and control geopolymers properties and performances. In collaboration with the Air Force Research Laboratory, the team will educate and train future materials researchers with multi-tool skills that span experiments, simulations, and data-driven algorithms. 

Publications

Memory of shear flow in soft jammed materials
H. A. Vinutha, M. Marchand, M. Caggioni, V. V. Vasisht, E. Del Gado, and V. Trappe
10/1/2024
Topological Data Analysis for Particulate Gels
A. D. Smith, G. J. Donley, E. Del Gado, and V. M. Zavala
9/25/2024
Network physics of attractive colloidal gels: Resilience, rigidity, and phase diagram
M. Nabizadeh, F. Nasirian, X. Li, Y. Saraswat, R. Waheibi, L. C. Hsiao, D. Bi, B. Ravandi, and S. Jamali
1/9/2024
Predicting yielding in attractive colloidal gels
D. Mangal, M. Nabizadeh, and S. Jamali
1/5/2024
Soft matter physics of the ground beneath our feet
A. Voigtländer, M. Houssais, K. A. Bacik, I. C. Bourg, J. C. Burton, K. E. Daniels, S. S. Datta, E. Del Gado, N. S. Deshpande, O. Devauchelle, B. Ferdowsi, R. Glade, L. Goehring, I. J. Hewitt, ..., H. A. Stone, et al.
1/1/2024
The hidden hierarchical nature of soft particulate gels
M. Bantawa, B. Keshavarz, M. Geri, M. Bouzid, T. Divoux, G. H. McKinley, and E. Del Gado
5/4/2023
Ion Specificity of Confined Ion–Water Structuring and Nanoscale Surface Forces in Clays
F. Dragulet, A. Goyal, K. Ioannidou, R. J. -. Pellenq, and E. Del Gado
6/22/2022

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Research Highlights

The Hidden Hierarchical Nature of Soft Particulate Gels
Emanuela Del Gado (Georgetown University)
2/2/2026
Topological Data Analysis for Particulate Gels
Emanuela Del Gado (Georgetown University)
2/2/2026

View All Highlights

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Any opinions, findings, and conclusions or recommendations expressed on this website are those of the participants and do not necessarily reflect the views of the National Science Foundation or the participating institutions. This site is maintained collaboratively by principal investigators with Designing Materials to Revolutionize and Engineer our Future awards, independent of the NSF.

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