Condensed Matter

   

Atomic Electronic Simulator

Authors: George Rajna

Targeting applications like neural networks for machine learning, a new discovery out of the University of Alberta and Quantum Silicon Inc. in Edmonton, Canada is paving the way for atomic ultra-efficient electronics, the need for which is increasingly critical in our data-driven society. [44] By studying materials down to the atomic level, researchers at Chalmers University of Technology, Sweden, have found a way to make catalysts more efficient and environmentally friendly. [43] Scientists have discovered new particles that could lie at the heart of a future technological revolution based on photonic circuitry, leading to superfast, light-based computing. [42] Antibody-based imaging of a particularly aggressive form of breast cancer is undergoing clinical trials worldwide, but the path from trial to application is being hampered by a major obstacle: safety. [41] Researchers from Japan have taken a step toward faster and more advanced electronics by developing a a better way to measure and manipulate conductive materials through scanning tunneling microscopy. [40] When chemists from the Institute of Physical Chemistry of the Polish Academy of Sciences in Warsaw were starting work on a new material designed for the efficient production of nanocrystalline zinc oxide, they didn't expect any surprises. [39] Now writing in Light Science & Applications, Hamidreza Siampour and co-workers have taken a step forward in the field of integrated quantum plasmonics by demonstrating on-chip coupling between a single photon source and plasmonic waveguide. [38] Researchers at University of Utah Health developed a proof-of-concept technology using nanoparticles that could offer a new approach for oral medications. [37] Using scanning tunneling microscopy (STM), extremely high resolution imaging of the molecule-covered surface structures of silver nanoparticles is possible, even down to the recognition of individual parts of the molecules protecting the surface. [36]

Comments: 77 Pages.

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Submission history

[v1] 2018-10-16 04:18:15

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