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Beyond Liquid Crystal is DARPA's next mission for tunable opticals
ATOM comprises two technical areas: infrared and visible spectrum tunable optical materials. The program seeks to discover and develop tunable materials that provide very fast tuning speed, allow for large tunability in their optical properties (i.e., refractive index), and can be integrated with traditional foundry processes for production.
Beyond Liquid Crystal is DARPA's next mission for tunable opticals
by Staff Writers
Washington DC (SPX) Jun 09, 2023

Liquid crystals are ubiquitous tunable optical materials most commonly known for the vibrant colors and sharp images they enable on flatscreen TVs, smartphones, tablets, and monitors. Despite being well-suited for optical filtering in visual displays, liquid crystals are not effective for militarily relevant areas of interest in both visible and infrared spectral regions.

DARPA's Accelerating discovery of Tunable Optical Materials (ATOM) program aims to discover and develop new tunable optical materials (TOMs) in the visible and mid- and longwave infrared (MWIR/LWIR) bands of the electromagnetic spectrum. The ultimate goal is to enable solid-state materials that can be optically tuned on demand across multiple spectral ranges without requiring physical filtering or mechanical input to achieve this dynamic functionality. Such a breakthrough could enable low size, weight, and power single-lens optical devices to carry out a wide array of warfighter missions.

"Liquid crystals are relatively large molecules with slow switching speeds - operating around the same refresh rate that our eyes can perceive changes - and, because they're liquid, they aren't easily integrated with other technologies," said Rohith Chandrasekar, ATOM program manager in DARPA's Defense Sciences Office. "For these reasons liquid crystals are not useful for applications where we need very fast switching speeds, like laser beam steering, or correcting for atmospheric turbulence in an image where the turbulence is much faster than our eyes can perceive."

Some new phase change materials show tentative promise for the infrared spectrum. However, since phase changes between the amorphous and crystalline states are induced by thermal energy, these materials are unable to attain and maintain the desired phase-switching speed, limiting their utility in the MWIR/LWIR applications. New understanding of material physics is needed to enable tunable materials with non-thermally modulated properties.

ATOM comprises two technical areas: infrared and visible spectrum tunable optical materials. The program seeks to discover and develop tunable materials that provide very fast tuning speed, allow for large tunability in their optical properties (i.e., refractive index), and can be integrated with traditional foundry processes for production.

A materials breakthrough in ATOM could benefit a multitude of different technology platforms.

"For example, tunable optics would enable much smaller and lighter mobile imaging platforms like telescopes and drones that can correct for the image blur that comes from turbulence in the air," Chandrasekar said. "Tunable optical filters could also simplify hyperspectral imaging systems used in applications like remote chemical sensing, thermal imaging, and food security. We hope the tunable optical materials discovered and developed in ATOM will allow us to eventually achieve these visions."

Identifying novel optical materials with unique tunable properties across a broad bandwidth requires new data science and machine learning-based approaches. To date, optical material discovery is largely based on intuitive design coupled with first-principles simulations, like density functional theory. While this approach can work in principle, it is inefficient, time-consuming, and fundamentally limited by human intuition based on known materials, making the discovery of completely new materials an arduous task.

Recently, fields such as pharmaceuticals, energetics, and advanced functional materials have successfully leveraged advanced statistical methods based on machine learning, artificial intelligence, and mathematical graph theory. As material discovery tools have accelerated progress in these other technical domains, ATOM aims to leverage similar AI tools for rapidly discovering new optical materials.

ATOM is a 24-month effort divided into two phases: a 12-month discovery phase and an optional 12-month demonstration phase. Phase I will focus on identification and characterization of new tunable optical materials meeting material property metrics using adaptive materials discovery and predictive modeling tools. Phase II will focus on experimental demonstration of the new material as a switchable film over greater than 10 switching states.

For technical details and proposal instructions visit the ATOM Disruption Opportunity solicitation on SAM.gov: https://sam.gov/opp/b0a46e3ae88142ba9b7c5715c01f675b/view

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