Table 1 List of machine learning-suggested additives and their measured performance metrics

From: Data-driven design of electrolyte additives supporting high-performance 5 V LiNi0.5Mn1.5O4 positive electrodes

No.

Additive

ASI (Ωcm2)a

\(\Delta\)ASI (Ωcm2)b

Q (mAhg−1)c

29

LiDFOB@1.0 wt%+SA@1.0 wt%

41.19

16.26

91.79

30

LiBOB@1.0 wt%+TMSPi@1.0 wt%

104.76

65.57

69.80

31

LiBOB@1.0 wt%+MS@1.0 wt%

50.13

16.77

92.17

32

LiBOB@1.0 wt%+SA@1.0 wt%

46.79

10.19

95.49

32

VC@1.0 wt%+SA@1.0 wt%

123.53

85.94

47.07

33

LiBOB@1.0 wt%+LDF@1.0 wt%

203.43

110.36

80.06

 

Baseline

54.47

19.35

91.94

  1. The baseline solvent (1.0 M LiPF6 in EC/EMC at 1/9 volumetric ratio) is included for reference.
  2. aArea-specific impedance.
  3. bImpedance rise.
  4. cFinal specific capacity.
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