USNCCM16 Technical Program (as of July 27, 2021) To find specific authors, use the search function in the pdf file. All times listed are in Central Daylight Saving Time. Monday, July 26 1 TS 1: MONDAY MORNING, JULY 26 10:00 AM 10:20 AM 10:40 AM 11:00 AM 11:20 AM Symposium Honoring J. Tinsley Oden's Monumental Contributions to Computational #M103 Mechanics, Chair(s): Romesh Batra Keynote presentation: On the Equivalence On the Coupling of Fiber-Reinforced Analysis and Between the Multiplicative Hyper-Elasto-Plasticity Classical and Non- Composites: Interface Application of and the Additive Hypo-Elasto-Plasticity Based on Local Models for Failures, Convergence Peridynamics to the Modified Kinetic Logarithmic Stress Rate Applications in Issues, and Sensitivity Fracture in Solids and Computational Analysis Granular Media Mechanics Jacob Fish*, Yang Jiao Serge Prudhomme*, Maryam Shakiba*, Prashant K Jha*, Patrick Diehl Reza Sepasdar Robert Lipton #M201 Imaging-Based Methods in Computational Medicine, Chair(s): Jessica Zhang Keynote presentation: Image-Based A PDE-Constrained Image-Based Polygonal Cardiac Motion Computational Modeling of Prostate Cancer Optimization Model for Lattices for Mechanical Estimation from Cine Growth to Assist Clinical Decision-Making the Material Transport Modeling of Biological Cardiac MR Images Control in Neurons Materials: 2D Based on Deformable Demonstrations Image Registration and Mesh Warping Guillermo Lorenzo*, Thomas J. R. Hughes, Angran Li*, Yongjie Di Liu, Chao Chen, Brian Wentz, Roshan Alessandro Reali, Hector Gomez, Thomas E. Jessica Zhang Teng Zhang* Upendra, Suzanne Yankeelov Shontz*, Cristian Linte Quantification and Modeling of Spatially Heterogeneous Phenomena in Biological #M202 Materials, Chair(s): Manuel Rausch, Emma Lejeune, Johannes Weickenmeier Keynote presentation: Mechanical Mechanics and Towards Application Estimation of Regional Consequences of Structural Heterogeneity in Microstructurally Based Driven Computational Structure-Function Healing Myocardial Scar Modeling of the Passive Models of Human Relationship in the Right Ventricular Induced Pluripotent Infarcted Left Ventricle Myocardium Stem Cell-Derived Cardiomyocytes Laura Caggiano, Jeffrey Holmes* Sotirios Kakaletsis*, Emma Lejeune*, Bill Emilio Mendiola*, Gabriella P. Sugerman, Zhao Hamed Babaei, Samer Tomasz Jazwiec, Merchant, Qian Xiang, Marcin Malinowski, Edward Hsu, Peter Tomasz Timek, Manuel Vanderslice, Reza Rausch Avazmohammadi Multiphysics and Data-Driven Modeling for Cardiovascular Biomedicine, Chair(s): #M206 Debanjan Mukherjee Keynote presentation: Continuum Modeling of Towards the Computational Model Clot Growth Modeling Thromboembolism: Embolization of Formed Clots Computational Design for Biochemical Considering Physical in a Sudden Expansion of Smart Nanocarriers Transport in Large Interactions Between Arterial Thrombus Flow and Blood Cell Neighborhood Components Nick Tobin, Keefe Manning* Annalisa Quaini*, Chayut Teeraratkul*, Jifu Tan*, Michael Hood Maxim Olshanskii, Debanjan Mukherjee Alexander Zhiliakov, Shereen Majd, Yifei Wang 2 TS 1: MONDAY MORNING, JULY 26 10:00 AM 10:20 AM 10:40 AM 11:00 AM 11:20 AM Advances and Applications of Mechanistic Machine Learning, Reduced-Order and Data- #M301 Driven Analyses, Chair(s): JS Chen, Dong Qian Keynote presentation: HiDeNN: An AI Platform Snapshots Construction Mechanistic Machine SimNet: A Neural for Scientific and Materials Systems Innovation Using In Situ Learning-Based Framework for Physics Visualization Tools for Multiscale Simulation of Simulations Data-Driven Reduced Short-Fiber-Reinforced Order Modeling Composites Wing Kam Liu* Gabriel Barros, Malu C. T. Wu, Haoyan Wei*, Oliver Hennigh, Grave, Jose Camata, Dandan Lyu, Wei Hu, Susheela Narasimhan, Alvaro Coutinho* Tung-Huan Su, Hitoshi Mohammad Amin Oura, Masato Nishi, Nabian*, Akshay Tadashi Naito, Leo Subramaniam, Shen, Kevin Zhang, Kaustubh Tangsali, Philip Ho, Zeliang Liu, Max Rietmann, Jose Tianyu Huang del Aguila Ferrandis, Wonmin Byeon, Zhiwei Fang, Sanjay Choudhry Physics-Based Data-Driven Modeling and Uncertainty Quantification in Computational #M306 Materials Science and Engineering, Chair(s): Johann Guilleminot Gaussian Process Bayesian Calibration of Point-Cloud Deep Stochastic Modeling An Adaptive-Sparse Regression Models for the Self- Learning of Fluid Flow and Identification of Spline Dimensional Constrained by Assembly of Diblock in Porous Media Material Properties on Decomposition Method Boundary Value Copolymers: 3D-Printed Structures, for High-Dimensional Problems Likelihood-Free with Application to Uncertainty Inference and Expected Orthopedic Implants Quantification Information Gain via Measure Transport Mamikon Gulian*, Ari Richardo Baptista, Ali Kashefi*, Tapan Shanshan Chu*, Steven Dixler*, Ramin Frankel, Laura Swiler Lianghao Cao*, Joshua Mukerji Johann Guilleminot Jahanbin, Sharif Chen, Omar Ghattas, Rahman Fengyi Li, Youssef Marzouk, J. Tinsley Oden Data-Enhanced Modeling and Uncertainty Quantification of Systems with Multiple #M307 Fidelities, Chair(s): Alex Gorodetsky Multifidelity UQ Multilevel Best Linear Adaptive Basis for Enhancing Multifidelity MXMC: Generalized Sampling for Stochastic Unbiased Estimators for Multifidelity Uncertainty UQ with Model Tuning Multi-Model Monte Simulations Uncertainty Quantification Carlo Simulation for Quantification Uncertainty Propagation Gianluca Geraci*, Laura Daniel Schaden, Xiaoshu Zeng*, Michael Eldred*, Geoffrey Bomarito*, Swiler, Bert Elisabeth Ullmann* Gianluca Geraci, Gianluca Geraci, Alex James Warner, Patrick Debusschere Michael Eldred, John Gorodetsky, John Leser, William Leser, Jakeman, Alex Jakeman Luke Morrill Gorodetsky, Roger Ghanem 3 TS 1: MONDAY MORNING, JULY 26 10:00 AM 10:20 AM 10:40 AM 11:00 AM 11:20 AM Physics-Informed Learning and Data-Enabled Predictive Modeling and Discovery of #M308 Complex Systems, Chair(s): Danial Faghihi, Jianxun Wang Keynote presentation: Low-Dimensional Bayesian Inference of a A Bayesian Framework Image-Based Bayesian Structure in Bayesian Inference Problems with Multiscale Model of for Validation and Inference and Patient Mixture Models Tumor Angiogenesis Selection of Multiscale Specific Prediction of via Live Cell Imaging, Plasticity Models with Heterogeneous Tumor Protein Expression Quantified Uncertainty Growth Data, and a 3D Microfluidic Platform Ricardo Baptista*, Jayanth Jagalur Mohan, Caleb Phillips*, Manasa Jingye Tan*, Kathryn Baoshan Liang*, Jingye Youssef Marzouk Gadde, Ernesto Lima, Maupin, Danial Faghihi Tan, Luke Lozensk, Angela Jarrett, M. David Hormuth, Nichole Rylander, Thomas Yankeelov, Thomas Yankeelov Umberto Villa, Danial Faghihi Data-Driven Science with Uncertainty Quantification, Machine Learning, and #M309 Optimization, Chair(s): Roger Ghanem, Christophe Desceliers Keynote presentation: A Statistical Finite A Probabilistic Artificial Physics Aware Machine Element Method (statFEM) for Coherent Synthesis Neural Network for a Learning for Structural of Observation Data and Model Predictions Robust Identification of Topology Optimization the Random Apparent Elasticity Tensor Field at Mesoscale Fehmi Cirak*, Eky Febrianto, Mark Girolami Christophe Desceliers*, Jaydeep Rade*, Ethan Florent Pled Herron, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy #M311 Model Order Reduction for Physical Simulations, Chair(s): Matthew Zahr Reduced Order Large Eddy Simulation Entropy Stable Hyperreduction for Methods for Reduced Order Models Reduced Order Discontinuous Galerkin Computational Fluid Modeling of Nonlinear Methods: Element- and Dynamics: State of the Conservation Laws Point-Wise Reduced Art, Perspectives and Quadrature Applications Formulations with Applications to Aerodynamics Gianluigi Rozza* Traian Iliescu*, Jesse Chan* Masayuki Yano* Changhong Mou, Birgul Koc #M314 Data-Driven Modeling in Mechanics, Chair(s): Francisco Chinesta Keynote presentation: A Mechanics-Informed, Material Hybrid Unsupervised Learning Constitutive Data-Driven Approach to Material Modeling and Descriptions Combining Discovery of Models with a Non- Application to Multiscale Problems Physics Based and Interpretable Intrusive Reduced Data-Driven Models Hyperelastic Basis Method Constitutive Laws Faisal As'ad*, Philip Avery, Charbel Farhat Francisco Chinesta*, Siddhant Kumar*, Theron Guo*, Karen Elias Cueto, Victor Moritz Flaschel, Laura Veroy Champaney, Jean De Lorenzis Louis Duval 4 TS 1: MONDAY MORNING, JULY 26 10:00 AM 10:20 AM 10:40 AM 11:00 AM 11:20 AM #M401 Peridynamics and Its Applications, Chair(s): Erdogan Madenci Implementation of the The Crushing and A Rate-Dependent A Space-Time Peridynamic Analysis of Drucker-Prager Model Cutting Effects of Drill Peridynamic Discretization of a Crushing Behavior in for Ordinary State- Bit Cutter on Deep Well Optimization Model for Nonlinear Peridynamic Ceramic Open Cell Based Peridynamics Rock Based on Dynamic Mechanical Model on a 2D Lamina Foams Using a Local Plastic Peridynamics Behavior of Ceramic Multiplier Materials Taiki Shimbo*, Tomoki Jingkai Chen*, Yaxun Liu*, Lisheng Luciano Lopez, Sabrina Vinzenz Guski*, Kim Kawamura, Yutaka Zhangcong Huang, Liu, Qiwen Liu, Hai Mei Francesca Pellegrino* Lars Haeussler, Anne Fukumoto Hualin Liao, Yanting Uhlenbrock, Siegfried Zhang Schmauder #M402 Computational Geomechanics, Chair(s): Qiushi Chen Double-Phase-Field Dynamic Fracture Numerical Modeling of A Nonlocal Fracture Modeling of Mixed- Simulation of Rock Phase Transformation Model for Cohesive- Mode Fracture in Rocks Using a Rate- Induced Material