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Archive for the ‘chemistry’ category: Page 143

Nov 8, 2022

Dr. James Revill, Ph.D. — Head of Weapons of Mass Destruction & Space Security Programs, UNIDIR

Posted by in categories: biological, chemistry, evolution, military, policy, space, terrorism

Building A More Secure World — Dr. James Revill, Ph.D. — Head of Weapons of Mass Destruction & Space Security Programs, UNIDIR, UN Institute for Disarmament Research United Nations.


Dr. James Revill, Ph.D. (https://unidir.org/staff/james-revill) is the Head of the Weapons of Mass Destruction (WMD) and Space Security Program, at the UN Institute for Disarmament Research (UNIDIR).

Continue reading “Dr. James Revill, Ph.D. — Head of Weapons of Mass Destruction & Space Security Programs, UNIDIR” »

Nov 7, 2022

Scientists Build Synthetic Molecular Machines That Can Read Data

Posted by in categories: chemistry, computing, genetics, nanotechnology

Turing’s machine should sound familiar for another reason. It’s similar to the way ribosomes read genetic code on ribbons of RNA to construct proteins.

Cellular factories are a kind of natural Turing machine. What Leigh’s team is after would work the same way but go beyond biochemistry. These microscopic Turing machines, or molecular computers, would allow engineers to write code for some physical output onto a synthetic molecular ribbon. Another molecule would travel along the ribbon, read (and one day write) the code, and output some specified action, like catalyzing a chemical reaction.

Now, Leigh’s team says they’ve built the first components of a molecular computer: A coded molecular ribbon and a mobile molecular reader of the code.

Nov 7, 2022

Israeli scientists make breakthrough on producing ‘green’ hydrogen fuel

Posted by in categories: chemistry, solar power, sustainability

One can split an atomic nucleus to produce energy, but can you also split water to create environment-friendly hydrogen fuel? Doing so currently has two drawbacks: It is both time and energy intensive.

But now, researchers at Ben-Gurion University of the Negev in Beersheba and the Technion-Israel Institute of Technology in Haifa have taken a different path. BGU environmental physicist Prof. Arik Yochelis and Technion materials science professor Avner Rothschild believe they have identified new pathways that would speed up the catalytic process they think will reduce the invested electrical energy costs significantly.

Their splitting process is assisted by solar energy, which is known scientifically by the term photoelectrochemistry, and lowers the amount of the invested electrical energy needed to break the chemical bonds in the water molecule to generate hydrogen and oxygen. Oxygen evolution – the process of generating molecular oxygen (O2) by a chemical reaction, usually from water – requires the transfer of four electrons to create one oxygen molecule and then the adding of two hydrogen molecules to make water.

Nov 7, 2022

Bacterial sensors send a jolt of electricity when triggered

Posted by in categories: chemistry, electronics

When you hit your finger with a hammer, you feel the pain immediately. And you react immediately.

But what if the pain comes 20 minutes after the hit? By then, the injury might be harder to heal.

Scientists and engineers at Rice University say the same is true for the environment. If a in a river goes unnoticed for 20 minutes, it might be too late to remediate.

Nov 6, 2022

Scientists Solve an 80-Year-Old Physics Mystery

Posted by in categories: chemistry, physics, sustainability

Contact electrification (CE) was humanity’s earliest and sole source of electricity until about the 18th century, but its real nature remains a mystery. Today, it is regarded as a critical component of technologies such as laser printers, LCD production processes, electrostatic painting, plastic separation for recycling, and more, as well as a major industrial hazard (damage to electronic systems, explosions in coal mines, fires in chemical plants) due to the electrostatic discharges (ESD) that accompany CE. A 2008 study published in Nature found that in a vacuum, ESDs of a simple adhesive tape are so powerful that they generate enough X-rays to take an X-ray image of a finger.

For a long time, it was believed that two contacting/sliding materials charge in opposing and uniform directions. However, after CE, it was discovered that each of the separated surfaces carries both (+) and (-) charges. The formation of so-called charge mosaics was attributed to experiment irreproducibility, inherent inhomogeneities of contacting materials, or the general “stochastic nature” of CE.

Nov 6, 2022

Fluorescence achieved in light-driven molecular motors

Posted by in categories: biotech/medical, chemistry, nanotechnology

Rotary molecular motors were first created in 1999, in the laboratory of Ben Feringa, Professor of Organic Chemistry at the University of Groningen. These motors are driven by light. For many reasons, it would be good to be able to make these motor molecules visible. The best way to do this is to make them fluoresce. However, combining two light-mediated functions in a single molecule is quite challenging. The Feringa laboratory has now succeeded in doing just that, in two different ways. These two types of fluorescing light-driven rotary motors were described in Nature Communications (September 30) and Science Advances (November 4).

“After the successful design of molecular motors in the past decades, an important next goal was to control various functions and properties using such motors,” explains Feringa, who shared in the Nobel Prize in Chemistry in 2016. “As these are light-powered rotary motors, it is particularly challenging to design a system that would have another function that is controlled by , in addition to the rotary motion.”

Feringa and his team were particularly interested in since this is a prime technique that is widely used for detection, for example in biomedical imaging. Usually, two such photochemical events are incompatible in the same molecule; either the light-driven motor operates and there is no fluorescence or there is fluorescence and the motor does not operate. Feringa says, “We have now demonstrated that both functions can exist in parallel in the same molecular system, which is rather unique.”

Nov 6, 2022

New study of comets provides insight into chemical composition of early solar system

Posted by in categories: chemistry, space

A new study from the University of Central Florida has found strong support that the outgassing of molecules from comets could be the result of the composition from the beginning of our solar system.

The results were published today in The Planetary Science Journal.

The study was led by Olga Harrington Pinto, a doctoral candidate in UCF’s Department of Physics, part of the College of Sciences.

Nov 6, 2022

The ozone hole keeps shrinking

Posted by in categories: chemistry, climatology

Nature is (actually) healing.


Thanks to effective bans of harmful chemicals, the hole in the ozone keeps getting smaller.

Nov 6, 2022

Researchers From MIT Have Developed A New Machine Learning Based Approach With 90 Percent Accuracy To Screen Candidate Materials If They Are Topological For Next-Generation Computer Chips or Quantum Devices

Posted by in categories: biological, chemistry, quantum physics, robotics/AI

Topological materials are a special kind of material that have different functional properties on their surfaces than on their interiors. One of these properties is electrical. These materials have the potential to make electronic and optical devices much more efficient or serve as key components of quantum computers. But recent theories and calculations have shown that there can be thousands of compounds that have topological properties, and testing all of them to determine their topological properties through experiments will take years of work and analysis. Hence, there is a dire need for faster methods to test and study topological materials.

A team of researchers from MIT, Harvard University, Princeton University, and Argonne National Laboratory proposed a new approach that is faster at screening the candidate materials and can predict with more than 90 percent accuracy whether a material is topological or not. The traditional way of solving this problem is quite complicated and can be explained as follows: Firstly, a method called density functional theory is used to perform initial calculations, which are then followed by complex experiments that involve cutting a piece of material to atomic-level flatness and probing it with instruments under high vacuum.

The new proposed method is based on how the material absorbs X-rays, which is different from the old methods, which were based on photoemissions or tunneling electrons. There are certain significant advantages to using X-ray absorption data, which can be listed as follows: Firstly, there is no requirement for expensive lab apparatus. X-ray absorption spectrometers are used, which are readily available and can work in a typical environment, hence the low cost of setting up an experiment. Secondly, such measurements have already been done in chemistry and biology for other applications, so the data is already available for numerous materials.

Nov 6, 2022

Stability AI backs effort to bring machine learning to biomed

Posted by in categories: biotech/medical, chemistry, health, robotics/AI

Stability AI, the venture-backed startup behind the text-to-image AI system Stable Diffusion, is funding a wide-ranging effort to apply AI to the frontiers of biotech. Called OpenBioML, the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry.

The company’s founders describe OpenBioML as an “open research laboratory” — and aims to explore the intersection of AI and biology in a setting where students, professionals and researchers can participate and collaborate, according to Stability AI CEO Emad Mostaque.

“OpenBioML is one of the independent research communities that Stability supports,” Mostaque told TechCrunch in an email interview. “Stability looks to develop and democratize AI, and through OpenBioML, we see an opportunity to advance the state of the art in sciences, health and medicine.”