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Novel application of optical tweezers: colorfully showing molecular energy transfer

Researchers at Osaka Metropolitan University have developed a novel technique to control Förster resonance energy transfer using optical tweezers. The method, which accelerates energy transfer by increasing laser intensity, offers a non-contact approach for microchemistry and quantum dot applications.

SourceOsaka Metropolitan University·JournalAdvanced Optical Materials·TypeExperimental study·DateJun 24, 2024

Clemson researchers tackle challenge in new quantum materials design

Researchers at Clemson University have developed a new noncentrosymmetric triangular-lattice magnet, CaMnTeO6, which displays strong quantum fluctuations and nonlinear optical responses. This breakthrough material has the potential to lead to advancements in solid-state quantum computing, spin-based electronics, resilient climate chang...

SourceClemson University·JournalAdvanced Materials·TypeExperimental study·DateJun 11, 2024

Georgia Tech and Meta create massive open dataset to advance AI solutions for carbon capture

A massive open dataset, OpenDAC, has been created to accelerate direct air capture technology development while reducing costs. The database enables the training of an AI model that predicts material interactions with high accuracy, significantly faster than traditional chemistry simulations.

SourceGeorgia Institute of Technology·JournalACS Central Science·TypeComputational simulation/modeling·DateMay 2, 2024

How scientists are accelerating chemistry discoveries with automation

A new statistical-modeling workflow can quickly identify molecular structures of products formed by chemical reactions, accelerating drug discovery and synthetic chemistry. The workflow also enables the analysis of unpurified reaction mixtures, reducing time spent on purification and characterization.

SourceDOE/Lawrence Berkeley National Laboratory·JournalJournal of Chemical Information and Modeling·TypeData/statistical analysis·DateApr 8, 2024

Carnegie Mellon researchers develop new machine learning method for modeling of chemical reactions

Researchers at Carnegie Mellon University have created a new machine learning model that can simulate reactive processes in diverse organic materials and conditions. The model, called ANI-1xnr, performs simulations with significantly less computing power and time than traditional quantum mechanics models.

SourceCarnegie Mellon University·JournalNature Chemistry·TypeComputational simulation/modeling·DateMar 7, 2024

How to shift gears in a molecular motor

Scientists at Linköping University have successfully developed molecular gears with controlled rotary motion, overcoming previous challenges of single bond rotation. This breakthrough paves the way for future applications in medical drug delivery and solar energy storage.

SourceLinköping University·JournalChemistry - A European Journal·TypeComputational simulation/modeling·DateJan 25, 2024

Autonomous lab discovers best-in-class quantum dot in hours; it would have taken humans years

Researchers at NC State University developed an autonomous system called SmartDope to synthesize 'best-in-class' materials for specific applications in hours or days. It uses a self-driving lab to manipulate variables, characterize optical properties, and update its understanding of the synthesis chemistry through machine learning.

SourceNorth Carolina State University·JournalAdvanced Energy Materials·TypeExperimental study·DateNov 13, 2023

Towards computational design of molecules with desired properties

A new computational approach enables the design of molecules with targeted quantum-mechanical properties, finding that most properties are only weakly correlated among small molecules. The 'freedom of design' concept reveals an intrinsic flexibility in chemical compound space, allowing for simultaneous optimization of multiple properties.

SourceUniversity of Luxembourg·JournalChemical Science·TypeData/statistical analysis·DateSep 25, 2023

Scientists use quantum device to slow down simulated chemical reaction 100 billion times

Researchers at the University of Sydney have successfully slowed down a simulated chemical reaction by a factor of 100 billion times using a quantum computer. This achievement allows for direct observation of previously inaccessible processes, enabling breakthroughs in fields like materials science and drug design.

SourceUniversity of Sydney·JournalNature Chemistry·TypeExperimental study·DateAug 28, 2023

Unleashing a new era of color tunable nano-devices - smallest ever light source with switchable colors formed

Researchers at The Hebrew University of Jerusalem developed an innovative system of 'artificial molecules' made from two coupled semiconductor nanocrystals, achieving fast and instantaneous color switching. This breakthrough enables new possibilities in displays, lighting, and nanoscale optoelectronic devices with adjustable colors.

SourceThe Hebrew University of Jerusalem·JournalNature Materials·TypeExperimental study·DateAug 3, 2023

Are quantum computers the future of genome analysis?

A Japanese research team has developed a technique that could lead to a new paradigm for genomic analysis using quantum computers. The breakthrough involves identifying single nucleotides, a crucial step toward creating a molecular sequencer of DNA.

SourceOsaka University·JournalThe Journal of Physical Chemistry B·TypeData/statistical analysis·DateJul 31, 2023

Engineering graphene-based quantum circuits with atomic precision

A team of scientists has engineered a new method for building carbon nanocircuits with adaptable bridges, allowing for the fine-tuning of electronic properties and enabling potential applications in advanced electronics and sustainable energy. The breakthrough could also lead to the development of thermoelectric materials with signific...

SourceCenter for Research in Biological Chemistry and Molecular Materials (CiQUS)·JournalJournal of the American Chemical Society·DateMay 2, 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

Theory can sort order from chaos in complex quantum systems

A new mathematical theory developed by scientists at Rice University and Oxford University can predict the nature of motions in complex quantum systems. The theory applies to any sufficiently complex quantum system and may give insights into building better quantum computers, designing solar cells, or improving battery performance.

SourceRice University·JournalProceedings of the National Academy of Sciences·TypeComputational simulation/modeling·DateFeb 23, 2023

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

New hafnium polyhydrides are discovered superconductivity above 80K

Researchers at Institute of Physics, Chinese Academy of Sciences have discovered new hafnium polyhydrides exhibiting superconductivity above 80K, a temperature threshold previously unattained by any 5d transition metal hydride. The study reveals these compounds display high critical fields and Ginzburg-Landau superconducting coherent l...

SourceInstitute of Physics, Chinese Academy of Sciences·JournalMaterials Today Physics·TypeExperimental study·DateAug 29, 2022

Chemists design chemical probe for detecting minute temperature shifts in the body

Researchers at Colorado State University have developed a cobalt-based molecule that can detect extremely subtle temperature shifts inside the body, opening up new possibilities for medical imaging and therapy. The noninvasive probe uses radiofrequency waves to read out temperature signals from the body.

SourceColorado State University·JournalJournal of the American Chemical Society·TypeExperimental study·DateJun 6, 2022

Supercomputer and quantum simulations solve a difficult problem of materials science

A Japanese research team successfully estimated the bending energy of disiloxane molecules with state-of-the-art quantum Monte Carlo method, overcoming previous simulation challenges. The method's self-healing property reduced basis-set dependence and bias, enabling accurate results without dependence on parameter choices.

SourceJapan Advanced Institute of Science and Technology·JournalPhysical Chemistry Chemical Physics·DateFeb 4, 2022

Snapshots from the quantum world

Researchers develop technique to study singlet/triplet ratio of electron pairs in charge-separated states, which could lead to advancements in organic solar cells and qubits. The 'pump-push-pulse' method allows for snapshots of spin state at different times.

SourceUniversity of Konstanz·JournalScience Advances·DateJan 3, 2022

How to transform vacancies into quantum information

Scientists have made a breakthrough in controlling the formation of vacancies in silicon carbide, a semiconductor material. The team's simulations tracked the pairing of individual vacancies into a divacancy and discovered the optimal temperatures for creating stable divacancies. This discovery could lead to highly sensitive sensors an...

SourceDOE/Argonne National Laboratory·JournalNature Communications·DateDec 15, 2021

Newly improved quantum algorithm performs full configuration interaction calculations without controlled time evolutions

Researchers at Osaka City University developed a new quantum algorithm that calculates potential energy curves of molecules without controlled time evolutions. This addresses issues with conventional quantum phase estimation algorithms, enabling parallel processing and efficient full-CI calculations.

SourceOsaka City University·JournalThe Journal of Physical Chemistry Letters·TypeComputational simulation/modeling·DateNov 29, 2021

Getting quantum dots to stop blinking

A team of chemists at MIT has developed a method to control the blinking phenomenon in quantum dots using mid-infrared laser light, eliminating intermittency for precise applications. This technique may also be applicable to other materials, enabling new uses in biological research and quantum information science.

SourceMassachusetts Institute of Technology·JournalNature Nanotechnology·DateNov 22, 2021

Before geoengineering, some fundamental chemistry

A new study suggests that atmospheric conditions in the stratosphere pose a challenge to generating sulfuric acid, a crucial component of a proposed geoengineering strategy to mitigate climate change. Researchers found that solar radiation causes HOSO2 to quickly photolyse, breaking it down into harmful sulfur dioxide, which may reduce...

SourceUniversity of Pennsylvania·JournalJournal of the American Chemical Society·TypeComputational simulation/modeling·DateNov 22, 2021

HKU theoretical chemists develop a breakthrough quantum chemistry technique for illuminating new opportunities towards computational design and optimisation of organic photofunctional materials

The University of Hong Kong researchers have developed a novel quantum chemistry technique to reveal complex electron and energy transfer pathways in photophysical processes. The study reveals that strong electron-electron correlations and electron-vibration couplings govern the efficient singlet fission process in organic materials.

SourceThe University of Hong Kong·JournalChemical Science·DateSep 30, 2021

Scientists demonstrate pathway to forerunner of nanotubes that could lead to widespread industrial fabrication

Researchers at Princeton Plasma Physics Laboratory have identified a chemical pathway to produce boron nitride nanotubes, a material with properties similar to carbon nanotubes but more difficult to produce. The breakthrough could lead to large-scale industrial production of the nanomaterial for various applications.

SourceDOE/Princeton Plasma Physics Laboratory·JournalNanotechnology·TypeImaging analysis·DateSep 16, 2021