Physics-Informed Neural Networks (PINN) are algorithms from deep learning leveraging
physical laws by including partial differential equations together with a respective set of …

With the advent of the fourth Industrial Revolution, sensors, machines, tools, and intelligent
systems became connected and can interact with each other along the production chain …

The role of Al in aluminosilicate glasses remains somewhat a mystery: at low concentrations,
it increases the resistance to hydrolysis of the glass, whereas at high concentrations an …

In view of the required energy savings in the building sector, there is an urgent need for
innovative and sustainable solutions to increase the performance of building envelopes …

Unsaturated soils used as compacted subgrade, backfill, or foundation materials react
unfavorably under hydraulically bound environments due to swell and shrink cycles in …

This study explores the application of machine learning algorithms for supporting complex
product manufacturing quality through a focus on quality assurance and control. We aim to …

Vacuum insulated glazing (VIG) is a highly thermally insulating window technology, which
boasts an extremely thin profile and lower weight as compared to gas-filled insulated …

Construction Projects are exposed to numerous risks due to their complex and uncertain
nature, threatening the realization of the project objectives. However, Risk Management …

New glass samples with chemical formula (50-x) B 2 O 3–25ZnO–25BaO-xPtO 2 (0 (Pt-
0.0)≤ x≤ 1 (Pt-1.0) mol%) have been fabricated for first time using the traditional technique …

Modern architecture promotes a high demand for transparent building envelopes and
especially glass facades. Commonly, facades are designed to fulfill a multitude of objectives …