Table 1 Summary of the ML model architecture.

From: Designing architected materials for mechanical compression via simulation, deep learning, and experimentation

Layer

Output shape

Parameters

Dense

(None, 13)

182

Dense

(None, 100)

1400

Reshape

(None, 25, 4)

0

Conv1D

(None, 25, 4)

52

BatchNormalization

(None, 25, 4)

16

Conv1D

(None, 25, 16)

208

BatchNormalization

(None, 25, 16)

64

Conv1D

(None, 25, 64)

3136

BatchNormalization

(None, 25, 64)

256

Conv1D

(None, 25, 128)

24704

BatchNormalization

(None, 25, 128)

512

Conv1D

(None, 25, 64)

24640

BatchNormalization

(None, 25, 64)

256

Conv1D

(None, 25, 16)

3088

BatchNormalization

(None, 25, 16)

64

Conv1D

(None, 25, 4)

196

BatchNormalization

(None, 25, 4)

16

LSTM

(None, 512)

1058816

Dense

(None, 4)

2052

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