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Every year, the Czech Science Foundation (GCAR) funds several JUNIOR STAR projects focused on new research areas and building powerful collaborative teams. These projects are awarded to early-career scientists coming to the Czech Republic from other countries or with significant international experience. Each project is awarded CZK 25 million over the following five years.
This year, JILA postdoctoral researcher Vít Svoboda is one of the 17 awardees in the 2023 JUNIOR STAR cohort.

In a recent Science paper, researchers led by JILA and NIST Fellow Jun Ye, along with collaborators JILA and NIST Fellow David Nesbitt, scientists from the University of Nevada, Reno, and Harvard University, observed novel ergodicity-breaking in C60, a highly symmetric molecule composed of 60 carbon atoms arranged on the vertices of a “soccer ball” pattern (with 20 hexagon faces and 12 pentagon faces). Their results revealed ergodicity breaking in the rotations of C60. Remarkably, they found that this ergodicity breaking occurs without symmetry breaking and can even turn on and off as the molecule spins faster and faster. Understanding ergodicity breaking can help scientists design better-optimized materials for energy and heat transfer.

In a new ACS Nano paper, JILA and NIST Fellow David Nesbitt, along with former graduate student Jacob Pettine and other collaborators, developed a new method for measuring the dynamics of specific particles known as “hot carriers,” as a function of both time and energy, unveiling detailed information that can be used to improve collection efficiencies.

To better understand the dynamics of aptamer and ligand binding, Marton Menendez, along with JILA and NIST Fellow David Nesbitt, looked at the lysine (an amino acid) riboswitch in Bacillus subtilis, a common type of bacterium present in environments ranging from cow stomachs to deep sea hydrothermal vents. With this model organism, the researchers studied how different secondary ligands, like, potassium, cesium, and sodium, affect riboswitch activation, or its physical folding.

JILA and NIST Fellows David Nesbitt's and Jun Ye's recent results in their breathalyzer study have been highlighted in a new article in��Scientific American.��Using frequency combs, a particular type of laser array, scientists could detect specific molecules in the breath, including diseases like COVID-19. This research suggests huge implications for the future of disease diagnosis and prevention.

JILA and NIST Fellows Jun Ye and David Nesbitt, along with their respective teams, have recently been highlighted in the latest issue of the��SPIE Photonics West Show Daily, a publication from SPIE. This highlight focuses on the recent advancements in the frequency comb breathalyzer apparatus that the researchers have built and tested, which looks at diagnosing COVID-19 and other diseases.

JILA researchers have upgraded a breathalyzer based on Nobel Prize-winning frequency-comb technology and combined it with machine learning to detect SARS-CoV-2 infection in 170 volunteer subjects with excellent accuracy. Their achievement represents the first real-world test of the technology’s capability to diagnose disease in exhaled human breath.

Breath analysis has been fast progressing in recent years and is continuing to gain more and more research interest. It is, however, experimentally challenging due to the extremely low concentrations of molecules present in each breath, limited number of detectable molecular species, and the long data-analysis time required. Now, a JILA-based collaboration between the labs of NIST Fellows Jun Ye and David Nesbitt has resulted in a more robust and precise breath-testing apparatus. In combining a special type of laser with a mirrored cavity, the team of researchers was able to precisely measure four molecules in human breath at unprecedented sensitivity levels, with the promise of measuring many more types of molecules.

The basic question of how strands of nucleic acids (DNA and RNA) fold and hybridize has been studied thoroughly by biophysicists around the globe. In particular, there can be unexpected challenges in obtaining accurate kinetic data when studying the physics of how DNA and RNA fold and unfold at the single molecule level. One problem comes from temporal camera blur, as the cameras used to capture single��photons emitted by these molecules do so in a finite time window that can blur the image and thereby skew the kinetics. In a paper published in the Journal of Physical Chemistry B, JILA Fellow David Nesbitt, and first author David Nicholson, propose an extremely simple yet broadly effective way to overcome this camera blur.

Computer chips can’t get much smaller, but they can get faster. That means moving electrons around more quickly. To speed up computers and possibly enable other technologies, scientists want to use light to drive electric currents. The Nesbitt Lab studied gold nanostars and found a way to optically control currents at the nanoscale.