194 citations · 194 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2025
Predictive Inorganic Synthesis based on Machine Learning using Small Data sets: a case study of size-controlled Cu Nanoparticles
Brent Motmans, Digvijay Ghogare, Thijs G. I. van Wijk +5
Copper nanoparticles (Cu NPs) have a broad applicability, yet their synthesis is sensitive to subtle changes in reaction parameters. This sensitivity, combined with the time- and r…
cond-mat.mtrl-sci2017★ 194 cited
Pore-geometry recognition: on the importance of quantifying similarity in nanoporous materials
Yongjin Lee, Senja D. Barthel, Paweł Dłotko +3
In most applications of nanoporous materials the pore structure is as important as the chemical composition as a determinant of performance. For example, one can alter performance…