202 citations · 209 across the 2 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★ 7 cited
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…