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Neural Networks Predict Crystal Stability

SAN DIEGO, Sept. 21, 2018 — Researchers at the University of California, San Diego (UCSD) are using neural networks to predict the stability of materials in two classes of crystals: garnets and perovskites. They trained artificial neural networks to predict a crystal’s formation energy using just two inputs: electronegativity and ionic radius of the constituent …

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Flat optics: from high-performance metalenses to structured light

In this keynote presentation, Federico Capasso, professor of applied physics at Harvard University, presents advances in dielectric metalenses in the visible, which correct spherical, coma, and chromatic aberrations. Capasso begins his talk by reminding the audience that conventional lenses still require a very complex type of technology as it takes several lenses to correct aberrations. …

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Our new paper in Sylwan Nano Journal

Congratulations for the publication of paper”Thermoplasmonic response of Au@SiO2 core–shell nanoparticles in deionized water and poly-vinylpyrrolidone matrix” Maher Abdulfadhil Gatea, Hussein A. Jawad, M. Mosleh, S. M. Hamidi Metal-dielectric core–shell nanoparticles strongly absorb light and convert into an efficient localized heat source in the presence of electromagnatic radiation at their plasmonic resonance. This process can …

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Our new paper in Journal of magnetism and magnetic materials

Congratulations for the publication of paper “Relaxation time dependencies of optically detected magnetic resonance harmonics in highly sensitive Mx magnetometers” Ranjbaran, M.M. Tehranchi, S.M. Hamidi, S.M.H. Khalkhali Measurement of extremely weak magnetic fields in double-resonance atomic magnetometers based on resonant optical excitation has been an active area of research in recent years. Magnetometer sensitivity can …

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3-D Printing Graphene Aerogels

A U.S. research team from Virginia Tech and the Lawrence Livermore National Lab (LLNL) has demonstrated a light-based approach for 3-D printing strong, lightweight, porous graphene aerogels—at a resolution an order of magnitude finer than other techniques. 3-D printing is well advanced for polymer foams, with some notable success, but is still an active area of …

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Our new paper in Journal of magnetism and magnetic materials

Congratulations for the publication of paper “Faraday rotation in a coupled resonator magneto-plasmonic structure Tamm plasmon boosting” M. Hamidi, R. Moradlou The present study aimed to evaluate the magneto-optic Faraday rotation of one-dimensional coupled resonator magnetoplasmonic structure by metallic cover layer in each resonator. To this purpose, transfer matrix method was used where SiO2 and Bismuth …

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New Plasmonic Metamaterial Could Revolutionize Solar Cells

A recent discovery at the University of California San Diego could change the field of photonics. A team of engineers has fabricated a plasmonic metamaterial that could change the way we look at optical transmission. The study was led by electrical engineering professor Shaya Fainman at the UC San Diego Jacobs School of Engineering, and was published in Nature Communications. “We’re …

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Magnetic nanoparticles deliver chemotherapy to difficult-to-reach spinal tumors

Researchers at the University of Illinois at Chicago have demonstrated that magnetic nanoparticles can be used to ferry chemotherapy drugs into the spinal cord to treat hard-to-reach spinal tumors in an animal model. The unique delivery system represents a novel way to target chemotherapy drugs to spinal cancer cells, which are hard to reach because …

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Toward All-Optical Artificial Neural Networks

Training an artificial neural network for a specific task can be a computationally intensive and energy-consuming feat. Researchers at a U.S. university have demonstrated that such training can be accomplished on a silicon photonic chip. A new way to train In previous experiments on optical neural networks, other researchers performed the network training on a …

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Could Excitons Aid Optical-Electronic Interconnects?

A nagging efficiency bottleneck in today’s communications networks is the need to convert between the optical signals that transmit data over long distances, and the electrical signals used in data processing. One potential solution lies in devices that manipulate not electrons or photons, but “excitons”—the bound electron-hole pairs formed when photons excite electrons in a semiconductor. …

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