Global optimisation methods and algorithms are pivotal in addressing complex problems where the objective function is often non‐convex, multi‐modal, or even presented as a black‐box with expensive ...

Researchers have published a comprehensive review of configuration and parameter design for electrified propulsion systems in ...

This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...

Researchers have proposed an efficient feature search approach for estimating the state of health of lithium-ion batteries, ...

At Pittcon 2026 in San Antonio, Texas, USA, LCGC International spoke with 2026 LCGC International Emerging Leader Award ...

We are now looking for a Postdoctoral researcher in quantum algorithms and optimization. Are you as excited about quantum technology and its future applications as we are? We are now looking for a ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...