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[ASAP] Percolating Film of Pillared Graphene Layer Integrated with Silver Nanowire Network for Transparent and Flexible Supercapacitors

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Langmuir
DOI: 10.1021/acs.langmuir.8b03356

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Researchers remove silicon contamination from graphene to double its performance

A new study identifies silicon contamination as the root cause of disappointing results and details how to produce higher performing, pure graphene.

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[ASAP] Resonance-Frequency Modulation for Rapid, Point-of-Care Ebola-Glycoprotein Diagnosis with a Graphene-Based Field-Effect Biotransistor

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Analytical Chemistry
DOI: 10.1021/acs.analchem.8b03226

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[ASAP] Accurate Gap Determination in Monolayer and Bilayer Graphene/h-BN Moiré Superlattices

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Nano Letters
DOI: 10.1021/acs.nanolett.8b03423

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Racing electrons in graphene under control

Researchers have succeeded in using ultra-short laser impulses to precisely control electrons in graphene.

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Racing electrons under control

The advantage is that electromagnetic light waves oscillate at petaherz frequency. This means that computers in the future could operate at speeds a million times faster than those of today. Scientists have now come one step closer to achieving this goal as they have succeeded in using ultra-short laser impulses to precisely control electrons in graphene.

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Simulations suggest graphene can stretch to be a tunable ion filter

Researchers have conducted simulations suggesting that graphene, in addition to its many other useful features, can be modified with special pores to act as a tunable filter or strainer for ions (charged atoms) in a liquid.

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Simulations suggest graphene can stretch to be a tunable ion filter

Researchers have conducted simulations suggesting that graphene, in addition to its many other useful features, can be modified with special pores to act as a tunable filter or strainer for ions (charged atoms) in a liquid.

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A starch and graphene hydrogel geared towards electrodes for brain implants

Researchers have created hydrogels with electrical and antibacterial properties suitable for neural interfaces.

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[ASAP] Structural Quantification for Graphene and Related Two-Dimensional Materials by Raman Spectroscopy

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Analytical Chemistry
DOI: 10.1021/acs.analchem.8b04991

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