IEEE

Enhancing Predictive Accuracy in Catalysis: A Hybrid Modeling Approach for Dynamic Surface Configuration Analysis

Abstract: One inherent limitation of density functional theory (DFT) is its inability to precisely capture changes in surface configurations and activation energies, both of which are essential for ...
Electropages

ML toolkit accelerates device modelling and PDK development

Keysight Technologies, Inc. has released the new Machine Learning Toolkit in the latest Keysight Device Modelling Software Suite. This new solution decreases model development and extraction time from ...
Design And Reuse

Keysight Unveils Machine Learning Toolkit to Accelerate Device Modeling and PDK Development

Keysight Technologies, Inc. (NYSE: KEYS), today announced the release of the new Machine Learning Toolkit in the latest Keysight Device Modeling Software Suite. This new solution reduces model ...
New Electronics

Keysight's machine learning toolkit to speed device modelling and PDK development

Keysight Technologies has introduced a new Machine Learning Toolkit as part of its latest Device Modelling Software Suite, aiming to reduce the time required for semiconductor device modelling and ...
IEEE

CFD-Driven Hydrodynamic Modeling and Model Predictive Control for Path Following of a Turtle-Inspired Biomimetic Robot

This paper addresses the path-following challenge for a turtle-inspired biomimetic robot propelled by 3 degree-of-freedom flippers. First, a high-fidelity hydrodynamic model is established through ...