fig6

Machine learning-assisted prediction, screen, and interpretation of porous carbon materials for high-performance supercapacitors

Figure 6. One-dimensional partial dependence plots of (A) CD, (B) PW, (C) PSD, (D) Vmic/Vt, (E) Smic/SSA, (F) Vt, (G) SSA, (H) N%, (I) O%, (J) N-6, (K) N-5, (L) N-Q, (M) O-I%, (N) O-II%, and (O) O-III%. CD: Current density; PW: potential window; PSD: pore size distribution; SSA: specific surface area.

Journal of Materials Informatics
ISSN 2770-372X (Online)
Follow Us

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/