Table 4 Model performance on the MD17 dataset

From: Cartesian atomic moment machine learning interatomic potentials

Molecule

 

SchNet10

DimeNet71

sGDML8

PaiNN13

NewtonNet72

NequIP17

CAMP

Aspirin

Energy

16.0

8.8

8.2

6.9

7.3

5.7

8.7 (0.7)

 

Forces

58.5

21.6

29.5

14.7

15.1

8.0

20.5 (1.5)

Ethanol

Energy

3.5

2.8

3.0

2.7

2.6

2.2

2.5 (0.1)

 

Forces

16.9

10.0

14.3

9.7

9.1

3.1

7.6 (0.4)

Malonaldehyde

Energy

5.6

4.5

4.3

3.9

4.2

3.3

3.9 (0.0)

 

Forces

28.6

16.6

17.8

13.8

14.0

5.6

12.7 (0.3)

Naphthalene

Energy

6.9

5.3

5.2

5.0

5.1

4.9

4.2 (0.0)

 

Forces

25.2

9.3

4.8

3.3

3.6

1.7

4.0 (0.3)

Salicylic acid

Energy

8.7

5.8

5.2

4.9

5.0

4.6

4.6 (0.3)

 

Forces

36.9

16.2

12.1

8.5

8.5

3.9

11.0 (2.1)

Toluene

Energy

5.2

4.4

4.3

4.1

4.1

4.0

4.2 (0.2)

 

Forces

24.7

9.4

6.1

4.1

3.8

2.0

4.6 (0.6)

Uracil

Energy

6.1

5.0

4.8

4.5

4.6

4.5

4.4 (0.0)

 

Forces

24.3

13.1

10.4

6.0

6.5

3.3

7.2 (0.3)

  1. MAEs of energy and forces are in the units of meV and meV/Ã…, respectively. Bold: smallest; underline : second smallest. Errors shown in parentheses are obtained as the standard deviations from five independently trained CAMP models.