C&EN17d
Machine Learning Methodologies Applied to Magnetocaloric Perovskites Discovery
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Traditionally, designing novel materials involves exploring new compositions guided by ...
C&EN17d
Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks
Here we calculate the 1-Betti number properties for a two-dimensional lattice with one vacancy, shown in Figure 1E. In this case, the death of the 1-Betti number indicates the critical cutoff radius ...
Seeking Alpha22d
Lattice Semiconductor: Poised For A Turnaround In A Challenging Market Environment
Lattice Semiconductor Corporation is set to report Q4 '24 earnings on February 10, 2025, amid a challenging macroeconomic environment and a slower-than-expected recovery in the semiconductor ...
GitHub26d
A Comprehensive Julia implementation of the Vortex Lattice Method
VortexLattice is a comprehensive pure-Julia implementation of the vortex lattice method for both steady and unsteady flow conditions. It is designed to be fast, accurate (within theoretical ...