Computational Science Research Center

Computational Science Research Center

Colloquium

Interpretable Polynomial Neural ODEs

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Linda Petzold, UC Santa Barbara, Mechanical Engineering and Computer Science ABSTRACT: Neural networks have the ability to serve as universal function approximators, but they are not interpretable and do not generalize well outside of their training region. Both of these issues are problematic when trying to apply standard neural […]

Read More

Projecting the Future: Quantifying Uncertainties in How the Climate Will Change

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Nathan Urban, Brookhaven National Laboratory ABSTRACT: As carbon dioxide emissions to the atmosphere continue from fossil fuel consumption, the Earth’s climate will change considerably over the course of this century due to the resulting greenhouse effect. Societies and ecosystems will feel these global changes in the form of extreme […]

Read More

Automatic Performance Optimization for Analog IC Design

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Poki Chen,National Taiwan University of Science and Technology, Dept. of Electronic and Computer Engineering ABSTRACT: The fine-tuning process of analog integrated circuit design is both time-consuming and labor-intensive. To assist analog IC designers who are new to software development and eager to enhance design efficiency, a simple auto-optimization […]

Read More

Large-Eddy Simulation of Reactive Flow in Rocket Engine Combustion Chamber and Turbine Stages

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Feng Liu, University of California, Irvine, Department of Mechanical and Aerospace Engineering ABSTRACT: Simulation of three-dimensional unsteady reactive flows pose major challenges to computational methods for engineering applications. In this talk, I will present an efficient, accurate, and robust Computational Fluid Dynamics software package for various multi-disciplinary engineering […]

Read More

CombOpNet: Scaling SINDy for High-Dimensional Dynamical Systems

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Siyuan Xing, California Polytechnic State University, San Luis Obispo ABSTRACT: In this talk, we introduce the Combinatorial Operation Neural Network (CombOpNet), a compact neural architecture designed to overcome the curse of dimensionality in Sparse Identification of Nonlinear Dynamics. Within CombOpNet, nonlinear terms in dynamical equations are represented by […]

Read More

High-order modeling of long dispersive water waves

TIME: 3:30 PM LOCATION: GMCS 314 SPEAKER: Christos Papoutsellis, University of California, San Diego ABSTRACT: Accurately predicting the intricate dynamics of water waves is essential for advancing our understanding of the marine environment. The modeling of long waves plays a critical role in applications such as tsunami prediction, extreme wave simulations, and wave interactions with […]

Read More