Feature Importance and Growth Rate Prediction in SiC PVT Processes through Advanced Machine Learning Models

Zenodo (CERN European Organization for Nuclear Research) 2035-09-05

Amir Reza Ansari Dezfoli

Silicon carbide is a key wide-bandgap semiconductor material for next-generation power electronics, yet the Physical Vapor Transport (PVT) method used for bulk crystal growth remains constrained by complex thermal-chemi…

CuAAC Glycosylation of Silyl-Protected Alkynes in Aqueous Media

Brandeis ScholarWorks 2031-01-01

Sophia Morgane Lemieux

Copper-catalyzed Azide-Alkyne Cycloaddition (CuAAC) “click chemistry” has proven to be a powerful tool in the realm of glycosylation, allowing for efficient attachment of very large carbohydrates to other complex molecu…

High-Flux Halloysite Nanotube-Reinforced PVDF Membranes with Zwitterionic Coating for One-Step Separation of Complex Oil-Water Emulsions.

PubMed 1970-01-01

Lin M, Xia D, Li X, He J, Chen Z, Pan H, Liao M

Interdependence of the key molar ratios (SiO(2)/Al(2)O(3) and Al(2)O(3)/Na(2)O) in metakaolin-based geopolymers: phase composition, microstructure and mechanical insights.

PubMed 1970-01-01

Abdeen H, Mohsen A, Soltan A, Kohail M

Surface-structure search with variable composition and periodicity via machine learning and evolutionary algorithms: applications to Pt/Ge oxidation and Au-Sn alloying.

PubMed 2026-07-24

Kuroda F, Otani M