Dianjing Liu
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View article: Spontaneous emergence of eyes in reinforcement learning agents
Spontaneous emergence of eyes in reinforcement learning agents Open
A living animal exhibits remarkable ability to survive. It processes sensory input and takes actions to maximize the likelihood of survival. Researchers have been inspired to develop similar artificial agents powered by reinforcement learn…
View article: Deep Neural Networks: A Bidirectional Deep Neural Network for Accurate Silicon Color Design (Adv. Mater. 51/2019)
Deep Neural Networks: A Bidirectional Deep Neural Network for Accurate Silicon Color Design (Adv. Mater. 51/2019) Open
In article number 1905467, to avoid time-consuming electromagnetic simulation and an iterative optimization process, Li Gao, Zongfu Yu, and co-workers report the training of a deep neural network that can perform both forward modeling and …
View article: Training deep neural networks for the inverse design of nanophotonic structures
Training deep neural networks for the inverse design of nanophotonic structures Open
Data inconsistency leads to a slow\ntraining process when deep neural\nnetworks are used for the inverse design of photonic devices, an issue\nthat arises from the fundamental property of nonuniqueness in all\ninverse scattering problems. …
View article: Stochastic Optimization of Nonlinear Nanophotonic Media for Artificial Neural Inference
Stochastic Optimization of Nonlinear Nanophotonic Media for Artificial Neural Inference Open
We show that optical waves passing through a nanophotonic medium can perform artificial neural computing. Complex information, such as an image, is encoded in the wave front of an input light. The medium continuously transforms the wave fr…
View article: Nanophotonic Media for Artificial Neural Inference
Nanophotonic Media for Artificial Neural Inference Open
We show optical waves passing through a nanophotonic medium can perform artificial neural computing. Complex information, is encoded in the wave front of an input light. The medium transforms the wave front to realize sophisticated computi…
View article: Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures
Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures Open
Data inconsistency leads to a slow training process when deep neural networks\nare used for the inverse design of photonic devices, an issue that arises from\nthe fundamental property of non-uniqueness in all inverse scattering problems.\n…
View article: Examination of pairs in neutrino mixing matrix
Examination of pairs in neutrino mixing matrix Open
We exam the pairs of neutrino mixing matrix and suggest pairs that can be\nused in the construction of new mixing patterns, with "pair" denoting the\nequality of the modulus of a pair of matrix elements. The results show that the\ntri-maxi…