18 citations · 19 across the 4 of their papers we have counts for
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cs.LG2023
Multi-fidelity Design of Porous Microstructures for Thermofluidic Applications
Jonathan Tammer Eweis-LaBolle, Chuanning Zhao, Yoonjin Won +1
As modern electronic devices are increasingly miniaturized and integrated, their performance relies more heavily on effective thermal management. Two-phase cooling methods enhanced…
cs.LG2023★ 18 cited
Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets
Carlos Mora, Jonathan Tammer Eweis-Labolle, Tyler Johnson +2
In many applications in engineering and sciences analysts have simultaneous access to multiple data sources. In such cases, the overall cost of acquiring information can be reduced…