Materials Science & Engineering Research Works

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  • Photonic (computational) memories: tunable nanophotonics for data storage and computing 

    Lian, Chuanyu; Vagionas, Christos; Alexoudi, Theonitsa; Pleros, Nikos; Youngblood, Nathan; Ríos, Carlos (De Gruyter, 2022-05-16)
    The exponential growth of information stored in data centers and computational power required for various data-intensive applications, such as deep learning and AI, call for new strategies to improve or move beyond the ...
  • Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping 

    Kusne, A. Gilad; McDannald, Austin; DeCost, Brian; Oses, Corey; Toher, Cormac; Curtarolo, Stefano; Mehta, Apurva; Takeuchi, Ichiro (Frontiers, 2022-02-16)
    Application of artificial intelligence (AI), and more specifically machine learning, to the physical sciences has expanded significantly over the past decades. In particular, science-informed AI, also known as scientific ...
  • Plasmonic nanoarcs: a versatile platform with tunable localized surface plasmon resonances in octave intervals 

    Zhang, Kunyi; Lawson, Andrew P.; Ellis, Chase T.; Davis, Matthew S.; Murphy, Thomas E.; Bechtel, Hans A.; Tischler, Joseph G.; Rabin, Oded (Optical Society of America Publishing, 2020-10-12)
    The tunability of the longitudinal localized surface plasmon resonances (LSPRs) of metallic nanoarcs is demonstrated with key relationships identified between geometric parameters of the arcs and their resonances in the ...
  • Printable, high-performance solid-state electrolyte films 

    Ping, Weiwei; Wang, Chengwei; Wang, Ruiliu; Dong, Qi; Lin, Zhiwei; Brozena, Alexandra H.; Dai, Jiaqi; Luo, Jian; Hu, Liangbing (AAAS, 2020-11-18)
    Current ceramic solid-state electrolyte (SSE) films have low ionic conductivities (10−8 to 10−5 S/cm ), attributed to the amorphous structure or volatile Li loss. Herein, we report a solution-based printing process followed ...
  • Tuning the hysteresis of a metal-insulator transition via lattice compatibility 

    Liang, Y. G.; Lee, S.; Yu, H. S.; Zhang, H. R.; Liang, Y. J.; Zavalij, P. Y.; Chen, X.; James, R. D.; Bendersky, L. A.; Davydov, A. V.; Zhang, X. H.; Takeuchi, I. (Springer Nature, 2020-07-15)
    Structural phase transitions serve as the basis for many functional applications including shape memory alloys (SMAs), switches based on metal-insulator transitions (MITs), etc. In such materials, lattice incompatibility ...

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