most citedMachine learning-based mass density model for hard magnetic 14:2:1 phases using chemical composition-based features

5 citations · 5 across the 1 of their papers we have counts for

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cond-mat.mtrl-sci2022★ 5 cited

Machine learning-based mass density model for hard magnetic 14:2:1 phases using chemical composition-based features

Anoop Kini, Amit Kumar Choudhary, Dominic Hohs +6

The Fe14Nd2B-based permanent magnets are technologically sought-after for energy conversion due to their unparalleled high energy product (520 kJ/m3). For such 14:2:1 phases of dif…