Light-matter interactions have been explored for more than 40 years to achieve physical modulation of nanostructures or the manipulation of nanoparticle/biomolecule. Silicon photonics is a mature technology with standard fabrication techniques to fabricate micro- and nano-sized structures with a wide range of material properties (silicon oxides, silicon nitrides, p- and n-doping, etc.), high dielectric properties, high integration compatibility, and high biocompatibilities. Owing to these superior characteristics, silicon photonics is a promising approach to demonstrate optical force-based integrated devices and systems for practical applications. In this paper, we provide an overview of optical force in silicon nanophotonic and optomechanical systems and their latest technological development. First, we discuss various types of optical forces in light-matter interactions from particles or nanostructures. We then present particle manipulation in silicon nanophotonics and highlight its applications in biological and biomedical fields. Next, we discuss nanostructure mechanical modulation in silicon optomechanical devices, presenting their applications in photonic network, quantum physics, phonon manipulation, physical sensors, etc. Finally, we discuss the future perspective of optical force-based integrated silicon photonics.

Lip Ket Chin

Yuzhi Shi

Ai-Qun Liu

Optical Forces in Silicon Nanophotonics and Optomechanical Systems: Science and Applications

A deep learning model was built to optimize the phase flicker performance for given pulse width modulation (PWM) driving patterns of a liquid crystal on silicon (LCOS) device. 10-bit phase modulation was physically realized with a phase flicker of 0.055% over 1024 addressed phase levels in respect to the total modulation range of <svg xmlns="http://www.w3.org/2000/svg" id="M1" style="vertical-align:-0.1876698pt" height="8.92284pt" version="1.1" viewBox="-0.0498162 -8.73517 14.312 8.92284" width="14.312pt">


<g transform="matrix(.0125,0,0,-0.0125,0,0)"><path d="M474 137L460 143C427 87 406 76 364 76H130L295 252C384 346 423 421 423 500C423 599 351 676 238 676C115 676 51 594 30 477L51 472C91 570 126 602 198 602C283 602 337 552 337 461C337 376 301 300 207 201L29 12V0H420L474 137Z"/></g>
<g transform="matrix(.0125,0,0,-0.0125,6.243,0)"><path d="M589 453H284C194 453 137 436 81 337L135 303C165 360 200 380 227 382C162 124 118 65 45 61L59 -10C184 -10 251 161 306 382H392C383 356 337 192 323 135C318 115 316 97 316 82C316 8 370 -9 434 -10L486 44L491 61C432 61 401 62 401 110C401 126 405 147 412 176C427 233 450 329 470 382H572L589 453Z"/></g>

</svg> and a separation probability of 62.63% for the phase to stay within its level without overlapping with the adjacent ones. The spatial information bandwidth of the full high-definition (HD) LCOS device at 100 Hz was improved by 25%, from ~1.6 Gb/sec to ~2 Gb/sec.

Yuan Tong

Mike Pivnenko

Daping Chu

Implementation of 10-Bit Phase Modulation for Phase-Only LCOS Devices Using Deep Learning

Wei Wang

Advanced Devices &#x0026; Instrumentation: Integrated for Functionality to Change the World

About this journal

The open access journal Advanced Devices &amp; Instrumentation, published in association with BIACD, is a forum to promote breakthroughs and application advances at all levels of electronics and photonics.

Journal profile

Meet the editorial board

Advanced Devices &amp; Instrumentation’s&nbsp;editorial board is led by Wei Wang (China Aerospace Science and Technology Corporation) and&nbsp;Daping Chu (University of Cambridge) and is comprised of experts who have made significant and well recognized contributions to the field.

Editorial board

More special issue details

Advanced Devices &amp; Instrumentation is now accepting submissions for its first special issue: <a href="https://spj.sciencemag.org/adi-special-issues/metasurfaces/">Metasurface-Based Devices</a>

Table of Contents

Table of Contents: 2020

Optical Forces in Silicon Nanophotonics and Optomechanical Systems: Science and Applications

Implementation of 10-Bit Phase Modulation for Phase-Only LCOS Devices Using Deep Learning

Advanced Devices & Instrumentation: Integrated for Functionality to Change the World