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WVU researchers capture atomic view of synthetic DNA, revealing ‘molecular scissors’ that could treat disease

Researchers at WVU have developed a way to view synthetic DNA at the atomic level, enabling them to understand how to change its structure for enhanced scissor-like function. This breakthrough could lead to new technology for medical diagnoses and treatments, including potential therapies for diseases like retinal degeneration and cancer.

SourceWest Virginia University·JournalCommunications Chemistry·DateJul 24, 2023

Insilico Medicine scientists propose stricter standards for evaluating generative AI-produced molecules

The study evaluates recent research on artificial intelligence-generated molecular structures from the perspective of medicinal chemists, recommending guidelines for assessing novelty and validity. Insilico Medicine's recommendations aim to improve the process of generating and evaluating novel AI-generated drugs.

SourceInSilico Medicine·JournalACS Medicinal Chemistry Letters·TypeLiterature review·DateJul 18, 2023

Copper could help create clearer MRI images and improved diagnosis - study

Researchers have discovered a novel copper protein binding site that shows promise for use in magnetic resonance imaging (MRI) contrast agents, potentially leading to clearer images and improved diagnoses. The new structure displayed highly effective levels of relaxivity, equal and superior to existing Gd(III) agents used in clinical MRI.

SourceUniversity of Birmingham·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateJul 11, 2023

The correlation between the structures of bimetallic tartrate complexes in solutions for laser-induced synthesis and sensor characteristics of microbiosensors materials

Researchers discovered bimetallic tartrate complexes with unique structures, formed by insufficient ligand, leading to improved sensor characteristics for microbiosensors. The study showcases the potential of laser-induced chemical liquid phase deposition for creating nanostructures with various applications.

SourceBentham Science Publishers·JournalCurrent Organocatalysis·DateJul 11, 2023

Machine learning takes materials modeling into new era

A new machine learning-based simulation method called Materials Learning Algorithms (MALA) has been developed, enabling accurate electronic structure calculations at large scales. MALA achieves this by utilizing a hybrid approach that combines physics-based approaches with machine learning to predict the electronic structure of materials.

SourceHelmholtz-Zentrum Dresden-Rossendorf·Journalnpj Computational Materials·TypeComputational simulation/modeling·DateJul 7, 2023

Retooling the ribosomal translation machine could expand chemical repertoire of cells

Researchers have made significant progress in reprogramming cells to supply the ribosome with building blocks other than alpha-amino acids. The ultimate goal is to make the translation system fully programmable, allowing for the production of an unlimited variety of new molecular chains with unique properties.

SourceUniversity of California - Berkeley·JournalNature Chemistry·TypeExperimental study·DateJun 13, 2023

New class of antibiotics to fight resistant bacteria

Researchers at the University of Zurich have developed a new class of antibiotics that target novel targets in bacterial metabolism, effectively fighting resistant bacteria. The peptides are highly effective, safe, and immune to resistance, offering hope for treating bacterial infections in patients.

SourceUniversity of Zurich·JournalScience Advances·TypeImaging analysis·DateJun 1, 2023

Scientists at uOttawa streamline a widely used chemical reaction, creating new manufacturing opportunities

Researchers have streamlined a widely used chemical reaction to create new manufacturing opportunities. The innovative method uses two distinct metal catalysts and produces water as a waste product, allowing for the efficient creation of complex molecules from easily accessible substrates. This breakthrough has significant implications...

SourceUniversity of Ottawa·JournalNature Synthesis·TypeExperimental study·DateMay 9, 2023

Swedish quantum computer applied to chemistry for the first time

Researchers at Chalmers University have successfully used a quantum computer to calculate the intrinsic energy of small molecules, demonstrating a new method called Reference-State Error Mitigation. This breakthrough has the potential to advance the boundaries of chemical calculations and simulate complex chemical processes.

SourceChalmers University of Technology·JournalJournal of Chemical Theory and Computation·TypeComputational simulation/modeling·DateApr 20, 2023

Facile synthesis of high-performance perovskite oxides for acid–base catalysis

Researchers at Tokyo Institute of Technology developed a simple sol-gel method to synthesize highly pure bifunctional solid acid-base catalysts with desirable properties. The new method produces SrTiO3 nanoparticles with high surface area, showing 10 times higher catalytic activity than commercially available titanates.

SourceTokyo Institute of Technology·JournalACS Applied Materials & Interfaces·TypeExperimental study·DateApr 17, 2023

3D internal structure of rechargeable batteries revealed for the first time

Researchers pioneered a technique to observe the 3D internal structure of rechargeable batteries, enabling direct observation of the solid electric interface (SEI) and its progression. The study reveals key predictors of SEI layer formation in a complex interplay of molecular dimensions, surface properties, and solvent interactions.

SourceLancaster University·JournalNature Communications·TypeExperimental study·DateMar 13, 2023

AI discovers new nanostructures

Researchers at Brookhaven National Laboratory have successfully discovered new materials using artificial intelligence and self-assembly. The AI-driven technique led to the discovery of three new nanostructures, expanding the scope of self-assembly's applications in microelectronics and catalysis.

SourceDOE/Brookhaven National Laboratory·JournalScience Advances·DateJan 13, 2023

Generality vs. specificity: unraveling the electric double layer structure of highly ionic liquid electrolytes

A team of researchers used molecular dynamics simulations and electrochemical 3D atomic force microscopy to study the electric double layer structure of an ionic liquid on crystalline electrodes. They found that intermolecular interactions among cations and anions are stronger than electrode-specific interactions, proposing a key descr...

SourceUniversity of Illinois Grainger College of Engineering·JournalThe Journal of Physical Chemistry Letters·DateNov 17, 2022

A new way of fabricating high-efficiency diffraction gratings for astronomical spectroscopy

Researchers develop a new way to manufacture high-efficiency diffraction gratings using reactive ion-plasma etching, achieving near-theoretical unpolarized diffraction efficiency of 94.3%. The process enables robust and durable gratings suitable for harsh environments.

SourceSPIE--International Society for Optics and Photonics·JournalJournal of Astronomical Telescopes Instruments and Systems·DateNov 10, 2022

Out of the blue

Researchers at the University of Tokyo have developed a new method for producing blue quantum dots, which are essential for creating high-quality displays. The breakthrough uses self-organizing chemical structures and a cutting-edge imaging technique to visualize the novel blue quantum dots.

SourceUniversity of Tokyo·JournalJournal of the American Chemical Society·TypeExperimental study·DateNov 8, 2022

Researchers study historical developments of the periodic system of chemical elements

Researchers analyzed the knowledge of chemical space between 1800 and 1869 to discover how well the periodic table corresponds to the chemical data at its formulation. They found that the periodic table's basic structure was already encoded in space by the 1840s, two decades before its creation.

SourceUniversität Leipzig·JournalProceedings of the National Academy of Sciences·TypeData/statistical analysis·DateSep 8, 2022

Cell size regulates molecular separation

Research reveals that smaller artificial cells lead to greater separation of molecules, allowing for a new approach to manipulate material properties. This discovery has potential applications in pharmaceuticals and cosmetics industries.

SourceUniversity of Tokyo·JournalACS Materials Letters·TypeExperimental study·DateAug 24, 2022

Novel multi-proton carrier complex as efficient proton conductor at high temperatures

A team of researchers from Tokyo University of Science has developed a novel multi-proton carrier complex that shows efficient proton conductivity even at high temperatures. The resulting starburst-type metal complex acts as a proton transmitter, making it 6 times more potent than individual imidazole molecules.

SourceTokyo University of Science·JournalChemistry - A European Journal·TypeExperimental study·DateJul 18, 2022

A new nanomaterial for precision medicine and the green transition

Researchers at Politecnico di Milano developed a new nanomaterial with a superfluorinated gold cluster, exhibiting unique optical and catalytic properties. The findings have potential applications in precision medicine and the green transition, including diagnostic and therapeutic applications and efficient production of green hydrogen.

SourcePolitecnico di Milano·JournalNature Communications·TypeExperimental study·DateJun 15, 2022

The Sun is spinning round again

An international team developed a new theoretical model that solves part of the 'solar problem' by considering the Sun's rotation and magnetic fields. The results reproduce the concentration of helium and lithium in the Sun's outer layers, providing insights into stellar physics.

SourceUniversité de Genève·JournalNature Astronomy·TypeNews article·DateMay 31, 2022

Synthesis of two-dimensional holey graphyne

Researchers have successfully synthesized a new type of carbon allotrope called holey graphyne, which has semiconductor properties and can be used in various applications. The material was created using a bottom-up approach and consists of alternately linked benzene rings and C≡C bonds.

SourceInstitute for Basic Science·JournalMatter·TypeExperimental study·DateMay 18, 2022

An ultrafast X-ray glance into photoacid electronic structure

Researchers have provided direct insight into the electronic structure of a proton donating group in an amine aromatic photoacid using ultrafast X-ray spectroscopy. The study reveals major electronic structure changes occur on the base side of the Förster cycle, resolving the long-standing open question.

SourceMax Born Institute for Nonlinear Optics and Short Pulse Spectroscopy (MBI)·JournalAngewandte Chemie·TypeExperimental study·DateMar 25, 2022

A better way to separate gases

Researchers have developed a new type of membrane material that can significantly improve the efficiency of gas separation processes. The membranes, based on hydrocarbon ladder polymers, offer both high permeability and selectivity, making them outperform other polymer materials in many gas separations.

Researchers realize photo-induced catalytic C-H heteroarylation of metallocenes

A team of scientists has successfully developed a photo-induced catalytic C-H heteroarylation method for ferrocenes and ruthenocenes, allowing for the creation of new pyridyl and pridonyl metallocenes. This protocol offers mild and concise conditions for functionalization, with significant implications for material science and catalysis.

SourceDalian Institute of Chemical Physics, Chinese Academy Sciences·JournalCell Reports Physical Science·DateFeb 16, 2022

Researchers train neural network to recognize chemical formulas from research papers

A team of researchers from Skoltech and universities developed a neural network-based solution for automated recognition of chemical formulas on research paper scans. The algorithm combines molecules, functional groups, fonts, styles, and printing defects to mimic existing molecular template depiction styles.

SMART researchers discover novel way to perform ‘general inverse design’ with high accuracy

Researchers from Singapore-MIT Alliance for Research and Technology (SMART) have discovered a way to perform 'general inverse design' with high accuracy. This breakthrough enables the creation of materials with specific characteristics and properties, paving the way for revolutionizing materials science and industrial applications.

SourceSingapore-MIT Alliance for Research and Technology (SMART)·JournalMatter·TypeExperimental study·DateJan 6, 2022