Publications de Niyazi Ulas Dinç

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The optical domain presents potential avenues for enhancing both computing and communication due to its inherent properties of bandwidth, parallelism, and energy efficiency. This research focuses on harnessing 3-Dimensional (3D) diffractive optics for nove ...

The ever-increasing demand for training and inferring with larger machine-learning models requires more efficient hardware solutions due to limitations such as power dissipation and scalability. Optics is a promising contender for providing lower power com ...

Electronic computers have evolved drastically over the past years with an ever-growing demand for improved performance. However, the transfer of information from memory and high energy consumption have emerged as issues that require solutions. Optical tech ...

Phase imaging is widely used in biomedical imaging, sensing, and material characterization, among other fields. However, direct imaging of phase objects with subwavelength resolution remains a challenge. Here, we demonstrate subwavelength imaging of phase ...

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 have a high potential for scalability. Since the technology for data inpu ...

A device (1) and method for processing data comprises at least one input layer (2), at least one modulation layer (3), and at least one output layer (4). The input layer (2) is configured to receive at least one carrier signal (Sc). The modulation layer (3 ...

Computer generated optical volume elements have been investigated for information storage, spectral filtering, and imaging applications. Advancements in additive manufacturing (3D printing) allow the fabrication of multilayered diffractive volume elements ...

Current trends in artificial intelligence toward larger models demand a rethinking of both hardware and algorithms. Photonics-based systems offer high-speed, energy-efficient computing units, provided algorithms are designed to exploit photonics' unique st ...

Optical neural networks are expected to be hybrid systems for the foreseeable future combining optics and electronics. The linear portion of the system, consisting of the weighted interconnections between the neurons, can be realized optically. The nonline ...

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, hence (3+1)D writing. We use a commercial printer and photoresist to realize ...

The ability to train ever-larger neural networks brings artificial intelligence to the forefront of scientific and technical discoveries. However, their exponentially increasing size creates a proportionally greater demand for energy and computational hard ...

In recent years, three-dimensional (3D) printing with multi-photon laser writing has become an essential tool fur the manufacturing of three-dimensional optical elements. Single-mode optical waveguides are one of the fundamental photonic components, and ar ...

As microfiber-based additive manufacturing (AM) technologies, melt electrowriting (MEW) and solution electrowriting (SEW) have demonstrated efficacy with more biomedically relevant materials. By processing SU-8 resin using MEW and SEW techniques, a materia ...

We experimentally demonstrate a hybrid optical-digital neural network utilizing a high-dimensional nonlinear optics system. Precise digital modelling enables the system to achieve competitive performance in machine learning tasks. ...

Niyazi Ulas Dinç

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3D diffractive optics for linear interconnects and nonlinear processing

Programming nonlinear propagation for efficient optical learning machines

Programming the scalable optical learning operator with spatial-spectral optimization

Subwavelength imaging using a solid-immersion diffractive optical processor

From 3D to 2D and back again

Optical data processing using structural non-linearity

Computer generated optical volume elements by additive manufacturing

Resource-efficient photonic networks for next-generation AI computing

On the implementation of nonlinearities in optical neural networks: opinion

Direct (3+1)D laser writing of graded-index optical elements

Training hybrid neural networks with multimode optical nonlinearities using digital twins

Photonic waveguide bundles using 3D laser writing and deep neural network image reconstruction

Electrowriting of SU-8 Microfibers

Reusability report: Predicting spatiotemporal nonlinear dynamics in multimode fibre optics with a recurrent neural network

Modelling and Integrating Nonlinear Optical Transformations in Neural Networks