Deep operator networks (DeepONets) have shown significant potential in solving partial differential equations (PDEs) by utilizing neural networks to learn mappings between function spaces. However, their performance declines as system size and complexity increase. To address this, recent Latent DeepONet models have shown promise…
Morphing wing technology holds the potential to revolutionize aviation by dramatically improving fuel efficiency, enhancing operational flexibility, and enabling unparalleled versatility for both military and civilian applications. Recent advances in materials science and engineering have driven the development of morphing wings equipped with active…
We introduce HYDRA, a learning algorithm that generates symbolic hyperelasticity models designed for running in 3D Eulerian hydrocodes that require fast and robust inference time. Classical deep learning methods require a large number of neurons to express a learned hyperelasticity model adequately. Large neural…
Understanding the crystallization kinetics of homopolymers is important for the design and manufacturing of recycled polymers with targeted properties. Analyzing Polarized Optical Microscopy (POM) images is widely used in investigating the morphology and micro-structure of polymers, which is often done manually in experiments, time-consuming…
Machine learning (ML)-based materials models have shown great promise in capturing constitutive relations for material systems where history and microstructure dependencies are too complex for closed-form analytical or empirical models. Due to the robust ecosystem of ML frameworks, particularly in Python, new models can…
The development of the Diamond Anvil Cell (DAC) to generate high pressures on a small scale has led to numerous innovations across multiple disciplines. In condensed matter systems, we use the application of hydrostatic pressure to tune the physical and structural properties of materials,…
Molten salt loops are an important tool to understand corrosion in molten salts and to build a working molten salt reactor (MSR). Designers since the MSRE have known that material loss in pipes will likely not be lifetime limiting, but rather material deposition in…
Molten salt nuclear reactors (MSRs) are a type of Generation IV nuclear reactor which use molten fluoride or chloride salts as their primary coolant. At over 800ºC, these molten salts are extremely corrosive and limit the feasibility of using conventional steel or nickel alloys….
Synchrotron-based X-ray phase contrast imaging (XPCI) of dynamic events offers unique insights into materials’ micro- and mesoscale responses. However, the relatively small field of view provided by state-of-the-art platforms limits the time window available for capturing features such as crack propagation, failure fronts, and…
Under extreme loading conditions heat generation due to dynamic friction or thermomechanical instabilities leads to the development of highly localized thermal fields. Thermal localization occurs when the rate of heat generation by these dissipative mechanisms is much greater than the thermal diffusion effects. Predictions…