A5053648607- Microstructure and mechanical properties
- Metallurgy and Material Forming
- Metal Forming Simulation Techniques
- High-Velocity Impact and Material Behavior
- Metal and Thin Film Mechanics
- Microstructure and Mechanical Properties of Steels
- Aluminum Alloy Microstructure Properties
- Machine Learning in Materials Science
- Aluminum Alloys Composites Properties
- Manufacturing Process and Optimization
- Powder Metallurgy Techniques and Materials
- Probabilistic and Robust Engineering Design
- Fatigue and fracture mechanics
- Composite Material Mechanics
- High-pressure geophysics and materials
- Additive Manufacturing and 3D Printing Technologies
- Solidification and crystal growth phenomena
- Non-Destructive Testing Techniques
- Advanced materials and composites
- Intermetallics and Advanced Alloy Properties
- Additive Manufacturing Materials and Processes
- Injection Molding Process and Properties
- Particle accelerators and beam dynamics
- Advanced Surface Polishing Techniques
- Robotic Mechanisms and Dynamics
Sandia National Laboratories
2016-2025
Sandia National Laboratories California
2012-2023
The Ohio State University
2008-2015
University of Westminster
2004
Amorphous silicon nitride is a common material in microelectronics devices, which acts as an insulating barrier. Extended annealing times at elevated temperature can initiate crystallization of α−Si3N4, does not possess the same barrier properties. Molecular dynamics resolve fundamental mechanism for α−Si3N4 and influence local environments. We compare two interatomic potentials conclude that these models predict structural features (e.g., angular distributions densities) span range...
In this work, a generalized yield criterion that captures non-Schmid effects is proposed and implemented into finite element crystal plasticity model to simulate plastic deformation of single polycrystals. The parameters required for the constitutive formulation were calibrated experiments on crystals. This used investigate predictions stress–strain response texture evolution in body-centered-cubic (bcc) metals. contributions are accurately predict crystals, concomitant non-associativity...
By combining experiments and modeling from three US national laboratories, we explore compressive strength in a well-characterized material, tantalum, across pressures zero to over 350 GPa, strain-rates 10−3/s 108/s temperatures 148 K 3800 K. Strength values 40+ are shown vary by nearly two orders of magnitude, 0.15 GPa 10 GPa. Cross-comparison these results allows pressure strain-rate dependencies be isolated, increases more significantly with than strain rate the range studied. Simulations...
Deep neural network (DNN) based perception models are indispensable in the development of autonomous vehicles (AVs). However, their reliance on large-scale, high-quality data is broadly recognized as a burdensome necessity due to substantial cost acquisition and labeling. Further, issue not one-time concern, AVs might need new dataset if they be deployed another region (real-target domain) that in-hand within real-source domain cannot incorporate. To mitigate this burden, we propose...
The mechanical properties of materials systems are highly influenced by various features at the microstructural level. ability to capture these heterogeneities and incorporate them into continuum-scale frameworks deformation behavior is considered a key step in development complex non-local models failure. In this study, we present modeling framework that incorporates physically-based realizations polycrystalline aggregates from phase field (PF) model crystal plasticity finite element...
A parallel, adaptive overlay grid procedure is proposed for use in generating all-hex meshes stochastic (SVE) and representative (RVE) volume elements computational materials modeling. The mesh generation process outlined including several new advancements such as data filtering to improve quality from voxelated 3D image sources, improvements the primal contouring method constructing material interfaces pillowing at boundaries. We show specific examples crystal plasticity syntactic foam...