Responsive materials architected in space and time
Rationally designed architected materials have attained previously untapped territories in
materials property space. The properties and behaviours of architected materials need not …
materials property space. The properties and behaviours of architected materials need not …
Prospects and applications of photonic neural networks
Neural networks have enabled applications in artificial intelligence through machine
learning, and neuromorphic computing. Software implementations of neural networks on …
learning, and neuromorphic computing. Software implementations of neural networks on …
All-optical synthesis of an arbitrary linear transformation using diffractive surfaces
Spatially-engineered diffractive surfaces have emerged as a powerful framework to control
light-matter interactions for statistical inference and the design of task-specific optical …
light-matter interactions for statistical inference and the design of task-specific optical …
State-of-the-art review of machine learning applications in additive manufacturing; from design to manufacturing and property control
In this review, some of the latest applicable methods of machine learning (ML) in additive
manufacturing (AM) have been presented and the classification of the most common ML …
manufacturing (AM) have been presented and the classification of the most common ML …
Nonlinear processing with linear optics
Deep neural networks have achieved remarkable breakthroughs by leveraging multiple
layers of data processing to extract hidden representations, albeit at the cost of large …
layers of data processing to extract hidden representations, albeit at the cost of large …
At the intersection of optics and deep learning: statistical inference, computing, and inverse design
Deep learning has been revolutionizing information processing in many fields of science
and engineering owing to the massively growing amounts of data and the advances in deep …
and engineering owing to the massively growing amounts of data and the advances in deep …
Direct (3+ 1) D laser writing of graded-index optical elements
We propose single-step additive fabrication of graded-index optical elements by introducing
the light exposure as the additional dimension to three-dimensional (3D) laser writing …
the light exposure as the additional dimension to three-dimensional (3D) laser writing …
3D printed multimode-splitters for photonic interconnects
Photonic waveguides are promising candidates for implementing parallel, ultra-fast and ultra-
low latency interconnects. Such interconnects are an important technological asset for …
low latency interconnects. Such interconnects are an important technological asset for …
From 3D to 2D and back again
The prospect of massive parallelism of optics enabling fast and low energy cost operations
is attracting interest for novel photonic circuits where 3-dimensional (3D) implementations …
is attracting interest for novel photonic circuits where 3-dimensional (3D) implementations …
Optical tomography in additive manufacturing: a review, processes, open problems, and new opportunities
M Dharnidharka, U Chadha, LM Dasari… - The European Physical …, 2021 - Springer
Additive manufacturing is the process of producing three-dimensional objects in a layer-by-
layer technique. Due to its ability to produce complex parts directly without any additional …
layer technique. Due to its ability to produce complex parts directly without any additional …