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PICS Seminar with Dr. Igor Mezić of the University of California, Santa Barbara School of Engineering

PICS Seminar with Dr. Ivan Bermejo-Moreno of USC Viterbi School of Engineering

MEAM Seminar: “Physics-Informed Neural Networks (PINNs) for Physical Problems & Biological Problems”

We will present a new approach to develop a data-driven, learning-based framework for predicting outcomes of physical and biological systems and for discovering hidden physics from noisy data. We will introduce a deep learning approach based on neural networks (NNs) and generative adversarial networks (GANs). We also introduce new NNs that learn functionals and nonlinear […]

PICS Seminar: “Molecular Simulation and Machine Learning as Routes to Exploring Structure and Phase Behavior in Atomic and Molecular Crystals”

Abstract: Organic molecular crystals frequently exist in multiple forms known as polymorphs. Structural differences between crystal polymorphs can affect desired properties, such as bioavailability of active pharmaceutical formulations, lethality of pesticides, or electrical conductivity of organic semiconductors. Crystallization conditions can influence polymorph selection, making an experimentally driven hunt for polymorphs difficult. Such efforts are further […]

PICS Seminar: “Mathematical Modeling of Thrombin-Fibrin Binding Dynamics”

Abstract: Blood clot formation involves the coupled processes of platelet aggregation and coagulation, which are triggered when there is break in a blood vessel. Platelet aggregation is largely a physical process while coagulation is biochemical, consisting of a large network of reactions that culminate in the generation of the enzyme thrombin. Thrombin cleaves fibrinogen into […]

PICS Seminar: “High-order Spectral Difference Method for Studying Marine Hydrodynamics and Thermal Convection and Magneto-hydrodynamics for the Sun”

Abstract Two recent advancements of high-order spectral difference (SD) method for computational fluid dynamics on unstructured meshes will be presented. The first progress is our contribution to a new curved sliding-mesh approach to the SD method for simulating flapping and rotary wing aerodynamics.  The second elevation of the SD method is our recent successful design […]

PICS Seminar: Isogeometric Methods for Solids, Structures, and Fluid-Structure Interaction: From Early Results to Recent Developments

Abstract: This presentation is focused on Isogeometric Analysis (IGA) with applications to solids and structures, starting with early developments and results, and transitioning to more recent work. Novel IGA-based thin-shell formulations are discussed, and applications to progressive damage modeling in composite laminates due to low-velocity impact and their residual-strength prediction are shown. Fluid–structure interaction (FSI) employing […]

PICS Colloquium: Concurrent Atomistic-Continuum Modeling and Simulation of Transport Processes in Crystalline Materials

Abstract: In this talk we present a concurrent atomistic-continuum (CAC) method for modeling and simulation of transport processes in crystalline materials. The CAC formulation extends the Irving-Kirkwood procedure for deriving transport equations and fluxes for homogenized molecular systems to that for polyatomic crystalline materials by employing a concurrent two- level structural description of crystals. A multiscale […]

Tedori-Callinan Lecture: “Isogeometric Analysis”

The vision of Isogeometric Analysis was first presented in a paper published October 1, 2005 [1].  Since then it has become a focus of research within both the fields of Finite Element Analysis (FEA) and Computer Aided Design (CAD) and is rapidly becoming a mainstream analysis methodology and a new paradigm for geometric design [2].  […]

MEAM Seminar: “Nano-compatible Neuromorphic Computers: An All-passive Approach to Neural Networks”

This era of the internet of things is poised to experience explosive growth in the number of interconnected smart electronic devices. Machine learning algorithms, such as neural networks, are expected to play an indispensable role in analyzing the data gathered by these devices, and in many cases, will also facilitate informed device responses. However, the […]

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