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|A Glimpse into the Formation of a Molecular Bottlebrush During Polymerization Reactions
Chemical building blocks are joined together as part of a complicated chemical synthesis while experimentally and computationally observing the process that underwent three conformational changes to produce a complex “bottlebrush” shape.
“Structural Evolution of Poly(lactide) Molecular Bottlebrushes” (highlight slide)
S-K. Ahn et al., ACS Macro Letters (2014) | DOI: 10.1021/mz5003454
|Super Stable Ceramic Opens New Horizons for High-Energy Lithium Batteries
An excellent stability of the lithium ion conducting ceramic electrolyte Li7La3Zr2O12 in neutral and strong basic aqueous solutions is observed. The identification of such electrolyte materials with excellent stability across a wide pH range speeds the advent of batteries that exceed conventional lithium-ion technology in both energy density and operating life.
“Excellent Stability of a Li-Ion-Conducting Solid Electrolyte upon Reversible Li+/H+ Exchange in Aqueous Solutions” (highlight slide)
C. Ma et al., Angewandte Chemie International Edition (2014) | DOI: 10.1002/anie.201408124
|Arbitrary Rotation of Bits Creates New Options for Data Storage
The presence of small nanoscale domains makes it possible to rotate the ferroelectric polarization of a thin film in an arbitrary, but deterministic, direction. Controlled manipulation of polarization to any angle allows increased information densities for ferroelectric memory devices.
“Deterministic arbitrary switching of polarization in a ferroelectric thin film” (highlight slide)
R.K. Vasudevan et al., Nature Communications (2014) | DOI: 10.1038/ncomms5971
|Confined Nanoparticle Evaporation: Creating Patterned 2D Metal Chalcogenides
The confined evaporation of laser-deposited nanoparticles enables the synthesis of large-area 2D metal chalcogenide crystals in pre-patterned locations. This approach overcomes processing roadblocks that have hindered the scalable growth and pattering of such materials for optoelectronic and energy related applications.
“Digital Transfer Growth of Patterned 2D Metal Chalcogenides by Confined Nanoparticle Evaporation” (highlight slide)
M. Mahjouri-Samani et al., ACS Nano (2014) | DOI: 10.1021/nn5048124
|Little Chemical Additive Makes Big Difference to Efficiency of Plastic Solar Cells
A common additive helps organize molecules during drying to self-assemble thin films for organic solar cells and improve their power-conversion efficiency. The ability to control ordering of molecules and segregation of chemical phases in solar materials may increase production of electricity from sunlight and lower solar-energy costs.
“Understanding how processing additives tune the nanoscale morphology of high efficiency organic photovoltaic blends: From casting solution to spun-cast thin film” (highlight slide)
M. Shao et al., Advanced Functional Materials (2014) | DOI: 10.1002/adfm.201401547
|Understanding Chemical and Electronic Distortions on Manganite Surfaces
Scientists mapped chemical and electronic structure at the surface of a manganite thin film and identified deviations from ideal structure. Atomic-resolution mapping will aid investigations of materials promising for energy applications, such as solid-oxide fuel cells.
“Chemically induced Jahn-Teller ordering on manganite surfaces” (highlight slide)
Z. Gai et al., Nature Communications (2014) | DOI: 10.1038/ncomms5528
|Complex interplay yields a novel data-storage approach
The electrically biased tip of a scanning probe microscope was used to switch spontaneous polarization on and form complex symmetrical and asymmetrical domains in a technologically promising ferroelectric material. Manipulation of nanoscale “bits” (ferroelectric domains) that encode information in their diverse shapes and sizes may form the basis of novel data storage devices that consume less energy.
“Ionic field effect and memristive phenomena in single-point ferroelectric domain switching” (highlight slide)
A.V. Ievlev et al., Nature Communications (2014) | DOI: 10.1038/ncomms5545
|Deep data analysis of conductive materials
Computer algorithms for statistical analysis separated and extracted signals of conductive behavior in a complex nanomaterial. Automated decomposition of complex signals into simpler components will allow researchers to arrive at fuller insights faster.
“Deep Data Analysis of Conductive Phenomena on Complex Oxide Interfaces: Physics from Data Mining” (highlight slide)
E. Strelcov et al., ACS Nano (2014) | DOI: 10.1021/nn502029b