This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

This research investigates the predictive modeling of ultra-high-performance concrete (UHPC) incorporating industrial byproducts, focusing on compressive strength (Fc), flexural strength (Ff), ...

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

Hydrogen storage, heat conduction, gas storage, CO 2 and water sequestration—metal-organic frameworks (MOFs) have extraordinary properties due to their unique structure in the form of microporous ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Editorial Note: Talk Android may contain affiliate links on some articles. If you make a purchase through these links, we will earn a commission at no extra cost to you. Learn more. Artificial ...

Underpinnings and advantages of the scDiffEq model The new machine learning-based framework developed by the researchers models how cells change over time using neural stochastic differential ...

Making high-performance proteins for medicines or consumer products can take trial after trial of tweaks, experiments and fine-tuning. A new machine learning framework squeezes all that into a single ...

Can you use the new M4 Mac Mini for machine learning? The field of machine learning is constantly evolving, with researchers and practitioners seeking new ways to optimize performance, efficiency, and ...