It is expected that the continuous advancements in learning algorithms and specialized embedded hardware platforms will establish data-driven artificial intelligence (AI) based techniques as standard ...

Characterizing Spatial Variability of Soil Organic Carbon Through Improved Machine-Learning Modeling With In Situ Data Resampling: A Case Study in Alaska Abstract: Sparse and unevenly distributed soil ...

Machine learning (ML) techniques with the genetic algorithm (GA) have been applied to determine a polarizable force field parameters using only ab initio data from quantum mechanics (QM) calculations ...