We report a facile synthesis of Au tetrahedra in high purity and with tunable, well-controlled sizes via seed-mediated growth. The success of this synthesis relies on the use of single-crystal, spherical Au nanocrystals as the seeds and manipulation of the reaction kinetics to induce an unsymmetrical growth pattern for the seeds. In particular, the dropwise addition of a precursor solution with a syringe pump, assisted by cetyltrimethylammonium chloride and bromide at appropriate concentrations, was found to be critical to the formation of Au tetrahedra in high purity. Their sizes could be readily tuned in the range of 30-60 nm by simply varying the amount of precursor added to the reaction solution. The current strategy not only enables the synthesis of Au tetrahedra with tunable and controlled sizes but also provides a facile and versatile approach to reducing the symmetry of nanocrystals made of a face-centered cubic lattice.
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http://dx.doi.org/10.1002/asia.201402499 | DOI Listing |
J Am Chem Soc
January 2025
Functional Crystals Lab, Key Laboratory of Functional Crystals and Laser Technology, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
Tetrahedral halides with broad transparency and large second harmonic effects have the potential to serve as mid-infrared wide-bandgap materials with balanced nonlinear-optical (NLO) properties. However, their regular tetrahedral motifs tend to exhibit low optical birefringence (Δ < 0.03) due to limited structural anisotropy, which constrains their practical phase-matched capability.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
New Chemistry Unit, International Centre for Materials Science and School of Advanced Materials, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, Jakkur P.O. 560064, India.
Seeking new and efficient thermoelectric materials requires a detailed comprehension of chemical bonding and structure in solids at microscopic levels, which dictates their intriguing physical and chemical properties. Herein, we investigate the influence of local structural distortion on the thermoelectric properties of TlCuS, a layered metal sulfide featuring edge-shared Cu-S tetrahedra within CuS layers. While powder X-ray diffraction suggests average crystallographic symmetry with no distortion in CuS tetrahedra, the synchrotron X-ray pair distribution function experiment exposes concealed local symmetry breaking, with dynamic off-centering distortions of the CuS tetrahedra.
View Article and Find Full Text PDFDalton Trans
January 2025
State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources, College of Chemistry, Xinjiang University, Urumqi 830017, Xinjiang, PR China.
The design and synthesis of new mid-infrared functional crystals with novel structures and excellent properties is a hot topic in the materials science research field. Different from the traditional mid-far infrared crystal systems, such as chalcogenides and phosphides, a recently developed heavy metal oxyhalide, with a wide bandgap and transmittance range, is a very promising mid-infrared crystal material research system. Herein, the first case of a salt-inclusion compound in lead oxyhalides, CsPbOI (3PbOI·2CsI), has been synthesized by a high-temperature solution method.
View Article and Find Full Text PDFSci Technol Adv Mater
November 2024
Faculty of Materials Science and Engineering, Kyoto Institute of Technology, Kyoto, Japan.
We introduce our proprietary Materials Informatics (MI) technologies and our chemistry-oriented methodology for exploring new inorganic functional materials. Using machine learning on crystal structure databases, we developed 'Element Reactivity Maps' that displays the presence or the predicted formation probability of compounds for combinations of 80 × 80 × 80 elements. By analysing atomic coordinates with Delaunay tetrahedral decomposition, we established the concept of Delaunay Chemistry.
View Article and Find Full Text PDFEng Comput
December 2024
Center for Real-Time Computing, Department of Computer Science, Old Dominion University, Norfolk, VA, United States of America.
Converting a three-dimensional medical image into a 3D mesh that satisfies both the quality and fidelity constraints of predictive simulations and image-guided surgical procedures remains a critical problem. Presented is an image-to-mesh conversion method called CBC3D. It first discretizes a segmented image by generating an adaptive Body-Centered Cubic (BCC) mesh of high-quality elements.
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