Kim, Sunghyun

1. GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism
   2024/06/24 by Jeon, Byungsoo, Wu, Mengdi, Cao, Shiyi +11 · 4 citations
   #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
2. Quick-start guide for first-principles modelling of point defects in crystalline materials
   2020/05/05 by Sunghyun Kim, Kim, Sunghyun, Samantha N. Hood +7 · 1 citation
   Materials Science · Energy · #Advancements in Solid Oxide Fuel Cells #Machine Learning in Materials Science #Electrocatalysts for Energy Conversion
3. Assessing the defect tolerance of kesterite-inspired solar absorbers
   2020/07/02 by Crovetto, Andrea, Kim, Sunghyun, Fischer, Moritz +4 · 1 citation
   #Applied Physics (physics.app-ph) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)