202 citations · 202 across the 1 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2019★ 202 cited
Machine Learning the Voltage of Electrode Materials in Metal-ion Batteries
Rajendra P. Joshi, Jesse Eickholt, Liling Li +3
Machine learning (ML) techniques have rapidly found applications in many domains of materials chemistry and physics where large data sets are available. Aiming to accelerate the di…
cs.CY2018
Barriers to Active Learning for Computer Science Faculty
Jesse Eickholt
Active learning is a proven pedagogical style that has demonstrated value by improving students' performance and classroom experience. In spite of the evidence, adoption of active…