Results 191 to 200 of about 223,895 (260)
Metal‐covalent organic frameworks (MCOFs) are novel porous materials that exhibit the advantages of covalent and metal‐organic frameworks. However, it is extremely difficult to resolve their atomic structure and better understand their structure‐properties relation. This work utilizes a synergistic combination of advanced microscopy, spectroscopic, and
Seán Hennessey +11 more
wiley +1 more source
EODE-PFA: A Multi-Strategy Enhanced Pathfinder Algorithm for Engineering Optimization and Feature Selection. [PDF]
Li M, Cao C, Du M.
europepmc +1 more source
Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu +8 more
wiley +1 more source
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Modeling thermoelectric performance of p-type Cu3SbSe4-based chalcogenide materials using decision trees and structural risk error minimization intelligent computational methods. [PDF]
Alharbi FS.
europepmc +1 more source
Hybrid intelligent optimization of a circularly polarized microstrip antenna array for safe and effective hyperthermia cancer therapy. [PDF]
Rajebi S, Pedrammehr S, Shirini K.
europepmc +1 more source

