A new NURBS-based algorithm is revolutionizing gridshell design by enabling faster, smoother, and more flexible shape-finding ...

Head-on (left) and side-view (right) snapshots of a galactic disk of gas. These snapshots of gas distribution after a supernova explosion were generated by the deep learning surrogate model.

Brandon is a professor of finance and financial planning. CFP, RICP, and EA, and a doctorate in finance from Hampton University. Risk-adjusted return measures an investment's profitability relative to ...

Abstract: This research investigates and compares the overall performance of different numerical methods, and focuses on their accuracy, what will be the convergence rate, and the computational cost ...

As a small business owner, Liz understands the unique challenges entrepreneurs face. Well-versed in the digital landscape, she combines real-world experience in website design, building e-commerce ...

I wanted to add a new tutorial to the documentation. My idea is to compare a physics informed neural network (PINN) to traditional numerical methods (like finite element or finite difference) for ...

Abstract: The numerical mode matching (NMM) method is a widely used semianalytical approach for modeling the propagation of electromagnetic (EM) waves in orthogonal-plano-cylindrically layered (OPCL) ...

Voted a Top Place to Work for four straight years, IT Services at Miami University in Oxford, Ohio is dedicated to providing comprehensive support to students, faculty, and staff.

Sasfi, András and Zeilinger, Melanie N. and Köhler, Johannes, "Robust adaptive MPC using control contraction metrics" Automatica, p. 111169, 2023. The SLS class is an adapted version of the code ...