How machine learning helps MEMS actuators move in perfect lines

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
IEEE

Convex Nonlinear Battery Aging Model for Microgrid Sizing Optimization

Abstract: The sizing of microgrids with energy storage systems can be a complex optimization problem, so accurate models of battery degradation are often discarded to avoid intractable computational ...
BioProcess International

Doing More with Less: Multifidelity Optimization in the Biopharmaceutical Industry

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Governments urged to fix faulty radar in economic models disregarding climate risk

Economic models used by governments, central banks and investors are increasingly understating physical climate risk because ...
Scientific Research Publishing

AI-Driven Carbon Release Reduction: A Hoochens Inc Framework for Assessing AI’s Impact on Fossil Fuel Intake Optimization ()

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
IEEE

Nonlinear Hybrid Model for Permanent Magnet Synchronous Machines Including Magnet Permeability and Efficient Coupling

Abstract: The paper presents a computationally efficient nonlinear hybrid model for the analysis of surface-mounted permanent magnet machines under load conditions, aimed at preliminary design and ...