Annabella E DeBernardo1,2, Nicholas E Jackson1,2

  • 1Department of Chemistry, University of Illinois, Urbana, Illinois 61801, USA.

PubMed
概括

我们开发了一个图形机器学习框架来模拟量子电子动力学. 我们的模型准确地预测波函数和电子密度演变,使可扩展的量子模拟成为可能.

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Convolution Properties II01:17

Convolution Properties II

The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
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Convolution Properties I01:20

Convolution Properties I

Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
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Bar Graph01:07

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