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MLDS-NUS
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polymer-dynamics

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Time Series Forecasting

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train · 610 rows

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t array 2D	x array 2D	args array 2D
[[0.0],[0.0005005000000000001],[0.0010010000000000002],[0.0015015000000000002],[0.002002000000000000(...TRUNCATED)	[[6.56916,17.882127666666666,-14.191037666666663,5.766860000000001,17.461127666666666,-13.7678376666(...TRUNCATED)	[[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.(...TRUNCATED)
[[0.0],[0.0005005000000000001],[0.0010010000000000002],[0.0015015000000000002],[0.002002000000000000(...TRUNCATED)	[[3.722776333333332,-10.090382333333334,17.74353466666667,3.9459763333333324,-9.576182333333334,18.5(...TRUNCATED)	[[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.(...TRUNCATED)
[[0.0],[0.0005005000000000001],[0.0010010000000000002],[0.0015015000000000002],[0.002002000000000000(...TRUNCATED)	[[5.2679300000000016,-3.3623886666666696,12.758773000000001,4.401930000000002,-3.130988666666669,13.(...TRUNCATED)	[[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.(...TRUNCATED)
[[0.0],[0.0005005000000000001],[0.0010010000000000002],[0.0015015000000000002],[0.002002000000000000(...TRUNCATED)	[[7.280699,0.8217150000000002,-17.339582999999998,7.475399000000001,-0.017084999999999795,-16.831283(...TRUNCATED)	[[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.(...TRUNCATED)
[[0.0],[0.0005005000000000001],[0.0010010000000000002],[0.0015015000000000002],[0.002002000000000000(...TRUNCATED)	[[2.594578999999996,16.789284666666667,-2.820941,3.2327789999999936,16.83738466666667,-2.052541,2.39(...TRUNCATED)	[[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.(...TRUNCATED)
[[0.0],[0.0005005000000000001],[0.0010010000000000002],[0.0015015000000000002],[0.002002000000000000(...TRUNCATED)	[[1.1140046666666663,-22.839037333333334,0.21580033333333404,1.1863046666666666,-23.45233733333333,1(...TRUNCATED)	[[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.(...TRUNCATED)
[[0.0],[0.0005005000000000001],[0.0010010000000000002],[0.0015015000000000002],[0.002002000000000000(...TRUNCATED)	[[10.228783333333334,-3.215269333333339,-3.2372223333333316,9.574883333333334,-2.615069333333338,-3.(...TRUNCATED)	[[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.(...TRUNCATED)
[[0.0],[0.0005005000000000001],[0.0010010000000000002],[0.0015015000000000002],[0.002002000000000000(...TRUNCATED)	[[-12.282483666666664,27.430966333333334,-3.551020000000001,-11.523683666666665,26.816866333333333,-(...TRUNCATED)	[[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.(...TRUNCATED)
[[0.0],[0.0005005000000000001],[0.0010010000000000002],[0.0015015000000000002],[0.002002000000000000(...TRUNCATED)	[[3.226615333333335,-11.072194999999999,-7.3127670000000045,3.5977153333333334,-11.353995,-6.4279670(...TRUNCATED)	[[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.(...TRUNCATED)
[[0.0],[0.0005005000000000001],[0.0010010000000000002],[0.0015015000000000002],[0.002002000000000000(...TRUNCATED)	[[-20.994081333333334,11.544388666666668,-15.208728666666666,-20.311581333333343,10.818888666666668,(...TRUNCATED)	[[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.0],[1.(...TRUNCATED)

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Dataset for polymer dynamics

References

Chen, X. et al. Constructing custom thermodynamics using deep learning. Nature Computational Science 4, 66–85 (2024).

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