Assistant Professor Nguyen's research focuses on understanding the fundamental structure of matter by studying the spin of nucleons. Her work aims to fill the gap in knowledge about neutron spin and its influence on material arrangement.
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Researchers have discovered a new 'Island of Inversion' in the most symmetric region of the nuclear chart, where protons and neutrons equal each other. This finding challenges long-held assumptions about structural inversions and provides insights into fundamental forces that bind matter together.
Researchers discovered that water molecules move in a smooth, rolling motion on hexagonal boron nitride (h-BN), whereas on graphene, they experience increased friction. This finding offers insights into designing surfaces that control friction, wetting, and ice formation.
University of Rochester researchers developed algorithms to analyze complex chemistry in propane-to-propylene conversion. The study reveals the importance of defective metal sites and oxide phase stability in catalysts.
Researchers at Chinese Academy of Sciences have measured the mass of silicon-22, revealing a new proton magic number. This finding provides deeper insight into exotic nuclear structures and nucleon interactions, shedding light on element formation in the Universe.
The study confirms QED theory by measuring the g-factor of lithium-like tin with high precision. The experimental value agrees well with the theoretical prediction within the uncertainty of the calculation.
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Researchers at A1 Collaboration successfully produced hydrogen-6 in an electron scattering experiment, challenging current understanding of multi-nucleon interactions. The measurement revealed a stronger interaction between neutrons within the nucleus than expected, indicating a lower ground-state energy for ⁶H.
Researchers at JAIST have developed a low-dose imaging technique that maps the three-dimensional atomic structure of titanium oxyhydroxide nanoparticles without damaging them. This breakthrough enables safer analysis and opens possibilities for designing materials with enhanced functionality.
Researchers at Northwestern University propose a new approach to therapeutic development using structural precision in nanomedicine. By fine-tuning the interaction between nanomedicines and the human body, scientists can design interventions that are more effective, targeted, and beneficial for patients.
Machine learning (ML) techniques can identify materials with high synthesis feasibility and suggest suitable experimental conditions. Computational models derived from thermodynamics and kinetics enhance predictive performance and interpretability of ML models, optimizing experimental design and increasing synthesis efficiency.
A new catalyst structure featuring mesoporous single-crystalline Co3O4 doped with atomically dispersed iridium (Ir) has been proposed as a potential pathway toward cost-effective hydrogen production. The material achieves efficient use of Ir while maintaining stability, reducing leaching during reaction.
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Researchers developed a new model called React-OT that can predict the transition state of chemical reactions in under a second with high accuracy. The model uses linear interpolation to generate better initial guesses, reducing the number of steps and computation time needed.
Researchers have discovered how a mitochondrial pyruvate carrier transports a molecule vital for energy production into the cell's powerhouses. Blocking this process could lead to new treatments for various conditions, including diabetes, Parkinson's disease, and cancer.
Researchers develop novel synthesis method for multi-shelled gold clusters and precisely remove atoms to study magnetic spin influence on catalytic behavior. They find that spin density concentrates more on iodine atoms than sulfur atoms, indicating potential role in tuning catalytic properties.
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Researchers have developed a novel oxide material that exhibits autonomous spin orientation control in response to magnetic fields, allowing for the detection of both field direction and strength. The 'semi-self-controlled' spinning enables advanced angle-resolved spintronic devices with strong potential for next-generation technologies.
Researchers created an anchoring-borrowing strategy to form artful single-atom catalysts, overcoming traditional oxidative addition steps in cross-coupling reactions. The new catalysts achieve high yields, excellent stability, and set a benchmark for turnover numbers.
New research validates theoretical models on how nanoscopic ripples affect material properties, leading to a better understanding of their mechanical behavior. The study's findings have significant implications for the development of microelectronics and other technologies that rely on thin films.
Researchers at EPFL have developed a method to stabilize wide-bandgap perovskites using lattice strain, reducing energy losses and improving stability. This approach enables the incorporation of rubidium ions into the structure, resulting in increased efficiency and reduced photovoltage loss.
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Researchers created a synthetic quantum structure by merging dysprosium titanate and pyrochlore iridate, two materials thought to be impossible due to their unique properties. The new material has potential applications in quantum computing and next-generation quantum sensors.
Researchers develop a novel 'zeolite blending' method to synthesize CON-type zeolites with unprecedentedly high aluminum content. This approach enables precise control over Al content, opening possibilities for catalyst development in various industrial applications.
Scientists have captured the first detailed molecular movie of DNA being unzipped at the atomic level, revealing how cells copy their genetic material. The discovery has significant implications for understanding viral and cancer replication.
Scientists at POSTECH and University of Montpellier successfully synthesized wafer-scale hexagonal boron nitride (hBN) with an AA-stacking configuration using metal-organic chemical vapor deposition (MOCVD). This achievement introduces a novel route for precise stacking control in van der Waals materials.
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A new AI model developed by Tokyo University of Science's researchers predicts dendritic growth in thin films, offering a powerful pathway for optimizing thin-film fabrication. The model analyzes morphology using persistent homology and machine learning with energy analysis, revealing conditions that drive branching behavior.
A new platform allows users to rapidly prototype large, sturdy interactive structures without requiring mechanical or electrical engineering expertise. The system utilizes reconfigurable building blocks with integrated electronics that can be assembled into complex devices.
A new bacterial protein, BeeR, has been identified and its structure is being used to develop protein nanoparticles for targeted cancer drug delivery. The protein forms a hollow tube with a cavity capable of containing drug molecules.
Researchers at Lawrence Berkeley National Laboratory have discovered the first organometallic molecule containing berkelium, a highly radioactive element. The discovery reveals that berkelium exhibits a unique tetravalent oxidation state, challenging traditional understanding of its behavior in the periodic table.
Researchers visualized the dynamic shuttling of α-CD rings along a PEG chain in real time, revealing localized structural changes. The study introduces a new method for analyzing supramolecular polymers and could pave the way for energy-efficient molecular motors.
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Researchers at Sanford Burnham Prebys have discovered a way to target the energy supply chain of cancer cells. By understanding how enzymes like ubiquitous mitochondrial creatine kinase (uMtCK) function, scientists can design new treatments that slow or stop tumor growth.
The study resolves a long-standing challenge in observing nanostructures and enables real-time tracking of three-dimensional atomic structural changes in individual nanoparticles. Researchers successfully captured the precise moments when surface atoms detached, rearranged, or reattached in three dimensions.
Researchers at UC San Diego create computational approach to model chiral helimagnets using quantum mechanics calculations. They successfully predicted key parameters, including helix wavevector, period, and critical magnetic field, opening opportunities for designing better materials.
University of Missouri researchers developed a solution to improve solid-state battery performance by understanding the root cause of issues. They used 4D STEM to examine atomic structures without disassembling batteries, ultimately determining the interphase layer was the culprit.
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Researchers developed a conjugated phthalocyanine framework with enhanced electron-withdrawal properties and flexibility, leading to improved capacities, rate capabilities, and cyclic stability in high-voltage lithium metal batteries. The framework also showed longer operating life and higher capacity retention.
Researchers developed two silver-based bimetallic clusters that increase Faradaic efficiency and yield of urea through charge polarization modulation. Ag14Pd outperforms Ag13Au5 in NO3RR, while Ag13Au5 excels in CO2RR with higher urea formation rates.
Researchers at HZDR and TU Dresden developed a method to produce well-defined nanoparticles with controlled composition and structure, enabling the creation of complex materials with integrated functions. The team's innovative approach combined cation exchange with advanced synthetic, experimental, and theoretical methods.
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Researchers synthesized Fe1+xSe2 nanoflakes with controlled intercalation ratios, discovering a new class of materials with room-temperature magnetism and unique half-metallic behavior. Interkalation regulates magnetic and electrical properties, including Curie temperatures and spin gap.
Researchers have created a detailed map of the forces acting inside a proton, simulating how the strong force varies across different regions. This breakthrough reveals massive forces of up to half a million Newtons, equivalent to 10 elephants, at minuscule scales.
Researchers at Institute of Science Tokyo developed porous organic crystals with ultrahigh-density amines, achieving fast CO2 adsorption and high thermal stability. The unique 2.5-dimensional skeleton reduces the cost for CO2 separation from flue gases.
The study reveals that relaxor ferroelectrics like lead magnesium niobate-lead titanate (PMN-PT) exhibit improved performance when shrunk down to a precise range of 25-30 nanometers. This 'Goldilocks zone' size effect could enable advanced applications such as nanoelectromechanical systems and energy harvesting.
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Hydrogen and carbon monoxide adsorb onto platinum atoms in nanoscale voids, with hydrogen diffusing faster due to smaller size. The team's findings highlight the importance of engineering voids for next-generation sensors and gas separation.
Researchers used cryo-electron microscopy to determine the atomic structure of collagen assemblies with an unexpected right-handed superhelical twist. This discovery could reshape biomedical research by revealing greater structural diversity in collagen.
Researchers at Tel Aviv University have developed a method to transform graphite into novel materials with controlled atomic layers, enabling the creation of tiny electronic memory units. This process, known as 'Slidetronics,' allows for precise manipulation of material properties, opening doors to innovative applications in electronic...
Researchers at MIT and Harvard University have directly measured superfluid stiffness in magic-angle graphene for the first time, shedding light on its remarkable properties. The study suggests that quantum geometry governs the material's superconductivity, a key step toward understanding its exceptional properties.
PairMap overcomes limitations of traditional methods by introducing intermediate compounds to predict binding affinities with high accuracy. The approach minimizes calculation errors, improves convergence, and reduces computational costs for complex transformations.
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Researchers utilized muon spin rotation spectroscopy to investigate the regioselective muoniation of peri-trifluoromethylated 12-phosphatetraphene 1, revealing a highly reactive muoniated radical at the phosphorus site. The study provided detailed insights into the structure and dynamics of the radical.
A new technique allows for precise tracking of tiny particles known as dark excitons in time and space. This breakthrough has the potential to improve the quality and efficiency of solar cells and other devices.
Researchers have long puzzled over how filopodia, finger-like protrusions on migratory cells, are formed. A new study from Rockefeller University reveals the atomic-level structure of these bundles, providing insights into their function and potential applications in cancer treatment. The discovery may help refine therapies already in ...
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The study utilizes infrared spectroscopy and a machine-learned protocol to map spectroscopic fingerprints to atomistic structures. The authors demonstrate the accuracy of their network in predicting local atomistic structures and energetic variations, enabling the tracking of dynamic C–C coupling on Cu surfaces.
Researchers at Max Planck Institute for Sustainable Materials have developed a novel method to create lightweight, nanostructured porous martensitic alloys by harnessing dealloying and alloying processes. The approach enables CO2-free and energy-saving production of high-strength materials.
Researchers at National University of Singapore developed novel graphene nanoribbon (JGNR) with unique zigzag edge, enabling one-dimensional ferromagnetic spin chain. This design could enable next-generation multi-qubit systems for quantum computing and advance carbon-based spintronics.
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Researchers at University of Groningen found that twisted tungsten disulfide sheets exhibit unexpected electronic properties, contradicting theoretical predictions. The study provides insights into the structural relaxation of 2D materials and enhances prediction and manipulation capabilities.
The study introduces a novel non-van-der-Wals 2D coordination polymer with intrinsic superconducting properties. Cu3BHT exhibits metallic conductivity and a superconducting transition at 0.25 K, attributed to enhanced electron-phonon coupling and electron-electron interactions.
Researchers have created a molecular flipbook to study the ultrafast movement of ribosomes inside cells. Using high-resolution template matching, they detected 41 different conformational states of ribosomes, providing new insights into protein synthesis.
Researchers at UW and PNNL studied atomic composition of enamel samples from two human teeth, one 22-year-old and one 56-year-old, to understand how enamel changes with age. The study found higher levels of fluoride in the older tooth's shell regions, which could have implications for understanding tooth health as we age.
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The researchers have revealed the precise positioning of RNA molecules and their interactions with the protective coat. This breakthrough enables the design of new drug molecules capable of binding to the protein coat, weakening viral RNA and inhibiting influenza virus replication.
Researchers at Tokyo Metropolitan University have developed a new technique to grow arrayed tungsten disulfide nanotubes with aligned orientations. This breakthrough resolves the issue of jumbled orientations in collected amounts of nanotubes, enabling the exploration of exotic electric and optoelectronic properties.
Scientists at Lund University and Hokkaido University have successfully synthesized 2D gold monolayers with remarkable thermal stability and potential catalytic utility. The team used a novel bottom-up approach combined with high-performance computations to create macroscopically large gold monolayers with unique nanostructured patterns.
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Researchers from Institute of Science Tokyo develop a new approach to produce four-stranded β-sheets with precisely controlled number of strands, overcoming challenges of fibril aggregation and isomeric variation. This breakthrough could advance biotechnology and nanotechnology applications.
A team led by Eric Stach at Penn Engineering has developed a new approach to visualize and understand molecular catalysts on semiconductor surfaces. By combining atomic-resolution imaging with machine learning analysis, they created detailed maps of the distribution and behavior of these microscopic structures.
Scientists from Tokyo University of Science unveil a new method for improving lithium-ion battery safety and capacity by optimizing the atomic configuration of TiNb2O7. The study reveals that reducing particle size and relaxing network distortion leads to better charging and discharging properties.
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A new AI model, CrystaLLM, can predict how atoms arrange themselves in crystal structures, aiding the discovery of new materials for solar panels, computer chips, and batteries. The system learned patterns from millions of existing crystal structure descriptions, bypassing complex physics calculations.