4 papers
Machine learning enabling high-throughput and remote operations at large-scale user facilities
Tatiana Konstantinova, Phillip M. Maffettone, Bruce Ravel +3
Imaging, scattering, and spectroscopy are fundamental in understanding and discovering new functional materials. Contemporary innovations in automation and experimental techniques…
Deep learning for visualization and novelty detection in large X-ray diffraction datasets
Lars Banko, Phillip M. Maffettone, Dennis Naujoks +2
We apply variational autoencoders (VAE) to X-ray diffraction (XRD) data analysis on both simulated and experimental thin-film data. We show that crystal structure representations l…
Negative Hydration Expansion in ZrW2O8: Microscopic Mechanism, Spaghetti Dynamics, and Negative Thermal Expansion
Mia Baise, Phillip M. Maffettone, Fabien Trousselet +3
We use a combination of X-ray diffraction, total scattering and quantum mechanical calculations to determine the mechanism responsible for hydration-driven contraction in ZrWO$…
Extreme cooperative swelling in topologically disordered fibre entanglements
Alistair R. Overy, Raj Pandya, Phillip M. Maffettone +3
Entangled states are ubiquitous amongst fibrous materials, whether naturally occurring (keratin, collagen, DNA) or synthetic (nanotube assemblies, elastane). A key mechanical chara…