This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

Researchers developed compilation-based quantum process tomography, a framework that reconstructs quantum operations using fewer measurements than conventional methods.

Abstract: Airborne wind energy (AWE) systems harvest energy from high-altitude winds using tethered wings. The flight trajectory of pumping AWE systems consists of a reel-out phase where the wing ...

ABSTRACT: Supply chain partners often face a fundamental trade-off: dishonesty can provide immediate rewards, but excessive lying erodes credibility and undermines future opportunities. Prior research ...

Thin-walled iron-based bioresorbable scaffolds have garnered significant research interest due to their exceptional mechanical properties and favorable biocompatibility. However, current thin-walled ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

This project implements advanced portfolio optimization techniques using numerical optimization methods in Python. The focus is on Conditional Value-at-Risk (CVaR) optimization and Mean-Variance ...

Abstract: The article traces the evolution of numerical tools from the Renaissance to the present. It examines the flourishing of numerical methods and concepts in the nineteenth century, particularly ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This work introduces an approach for precisely designing surface friction properties ...