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Materials news, September 2020

Scientists have used artificial intelligence to identify a novel class of cheap, stable solid electrolyte materials made from lithium, boron and sulfur.

Self-assembling anticancer drugs

NIR dye-polymer fluorescent coating helps surgeons visualize medical devices in the body

By studying how strontium ruthenate responds to sound waves, researchers have discovered it may be a new type of superconductor known as g-wave.

Researchers have developed a low-cost method for fabricating thin nanoribbons of molybdenum disulfide at a large scale.

By combining low-energy photons to produce high-energy excited states, researchers have developed a novel polymerization process.

Researchers have found that aluminum nanoparticles with sharper corners are better able to utilize light to catalyze chemical reactions.

Making multiferrorics magnetizable with a titanium dopant

A novel framework for identifying and assessing the spin textures of crystalline materials could help develop low-energy computing technology.

A new rubbery polymer semiconductor with high carrier mobility can be used to produce smart electronic skin and a medical robotic hand.

Researchers have discovered that an alloy of manganese, ruthenium and gallium can act as a super-fast magnetic switch.

Researchers have confirmed that tiny sub-nanoparticles created via the atom hybridization method can make highly efficient catalysts.

By aligning them and improving their conductivity, researchers have enhanced the piezoelectric properties of peptide-based nanotubes.

A novel model for predicting and improving battery performance is 100,000 times faster than existing modeling techniques.

A machine learning approach to predicting the quality of 3D-printed bioscaffolds has revealed the importance of controlling print speed.

Material that can be 3D-printed into any shape and pre-programmed with reversible shape memory

Researchers have discovered that a small change in the direction of the magnetic field in a symmetrical crystal can alter its electrical polarization.

Researchers have demonstrated on computer a novel color-coding system for getting DNA to self-assemble into desired nanostructures.

Modular mask combines a barrier filtration material with a stretchable fabric for easier use

Small imperfections in the lenses used to focus electron microscope beams can lead to the crystal phases in 2D materials being misidentified.

Assessment of state of play of renewable and sustainable fabrics derived from fungi

A novel optical detection system may have shown that grain boundaries are no barrier for thermoelectrical materials, but they still can't take the strain.

Researchers have confirmed that the intrinsic magnetism in the bulk of a topological insulator can extend to the electrons at its surface.

Researchers have uncovered the atomic mechanism that makes tin-based thermoelectric materials incredibly efficient at high temperatures.

Researchers found that cracking on the surface of an electrode particle corresponded with areas of microscopic cracking deep inside the particle.

Researchers have developed a wool-derived biomaterial that can be 3D-printed into any shape and pre-programmed with reversible shape memory.

Researchers have replicated a famous painting by shining white light on a glass slide stippled with millions of titanium dioxide nanopillars.

Atoms in 2D tantalum disulfide arrange themselves into six-pointed stars that can be manipulated by light, thus altering the material's refractive index.

Adding elliptical holes to elastic materials can enhance their efficiency at converting elastic energy to kinetic energy for extreme velocity movements.

A material known as organic manganese halide can make an environmentally friendly, low-cost, flexible X-ray scintillator.

Disordered rocksalt made of lithium, vanadium and oxygen makes a safe, powerful. long-lasting anode material for lithium-ion batteries.

A nanocomposite made from molybdenum disulfide and reduced graphene oxide can be used to make a sensitive, stretchable gas sensor.

By probing the electronic behavior of a superconducting cuprate, researchers have uncovered evidence for quantum critical points.

A novel artificial neural network can predict the degree of water repulsion and protein adsorption by ultra-thin organic materials.

For the first time, researchers have developed a way to measure the individual solid-like and liquid-like behaviors of soft materials separately.

By combining computational modeling with experimental data, researchers have developed a novel approach for tracking ions within a 2D material.

Researchers have demonstrated a new approach to slowing light significantly by trapping it in a resonator made of nanoscale silicon bars.

Researchers have found a way to get nanoclusters of copper molecules to self-assemble so they can mimic biomolecules such as DNA and proteins.

By introducing isolated defects into a ferroelectric, researchers have managed to turn it into a top-performing energy-storage material.

Adding a layer of a noble metal to the surface of a semiconducting crystal changes its structure and gives it completely novel electric properties.

For the first time, scientists created two 'time crystals' in superfluid helium-3, and observed them interacting and exchanging constituent particles.

Using a wet spinning process, researchers have produced carbon nanotube fibers that are stronger than Kevlar and almost as conductive as copper.

new form of lithography can produce extremely sharp bowtie nanoantennas for improved plasmonics

By combing organic molecules with silver electrodes, researchers have set a new efficiency record for color-neutral, transparent solar cells.

Researchers have discovered that the clubs used by mantis shrimp have a uniquely designed nanoparticle coating that absorbs and dissipates energy.

By utilizing zinc oxide fins, researchers have produced LEDs that can generate about 100 to 1000 times as much power as typical tiny LEDs.

A novel mathematical procedure can reduce the computational cost of modelling quantum materials via the quantum Monte Carlo method.

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