期刊： MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2021; 2 (3)
With recent technological advances, large-scale experimental facilities generate huge datasets, into the petabyte range, every year, thereby creating ......
期刊： MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2021; 2 (2)
X-ray computed tomography (CT) is a nondestructive imaging technique to reconstruct cross-sectional images of an object using x-ray measurements taken......
期刊： MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2021; 2 (1)
Pencil beam (PB) dose calculation is fast but inaccurate due to the approximations when dealing with inhomogeneities. Monte Carlo (MC) dose calculatio......
期刊： MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2021; 2 (2)
Optical multi-layer thin films are widely used in optical and energy applications requiring photonic designs. Engineers often design such structures b......
期刊： MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2021; 2 (2)
Is a deep learning model capable of representing systems governed by certain first principle physics laws by only observing the system's output? In an......
期刊： MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2021; 2 (2)
Deep learning methods applied to chemistry can be used to accelerate the discovery of new molecules. This work introduces GraphINVENT, a platform deve......
期刊： MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2021; 2 (2)
Despite 2D materials holding great promise for a broad range of applications, the proliferation of devices and their fulfillment of real-life demands ......
期刊： MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2021; 2 (2)
We extend the ability of an unitary quantum circuit by interfacing it with a classical autoregressive neural network. The combined model parametrizes ......
