Due to the network flexibility of their BX sub-lattice, a manifold of polymorphs with potential multiferroic applications can be found in perovskite-like ABX materials under different pressure and temperature conditions. The potential energy surface of these compounds usually presents equivalent off-center positions of anions connected by low energetic barriers. This feature facilitates a competition between the thermodynamic and kinetic control of the transitions from low to high symmetry structures, and explains the relationship between the rich polymorphism and network flexibility. In the rhombohedral phase of iron trifluoride, our first-principles electronic structure and phonon calculations reveal the factors that determine which of the two scenarios dominates the transition. At the experimentally reported rhombohedral-cubic transition temperature, the calculated fluorine displacements are fast enough to overcome forward and backward a barrier of less than 30 kJ mol, leading to an average structure with cubic symmetry. In addition, lattice strain effects observed in epitaxial growth and nanocrystallite experiments involving BX compounds are successfully mimicked by computing the phase stability of FeF under negative pressures. We predict a transition pressure at -1.8 GPa with a relative volume change around 5%, consistent with a first-order transition from the rhombohedral to the cubic structure. Overall, our study illustrates how, by strain tuning, either a thermodynamic or a kinetic pathway can be selected for this transformation.
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http://dx.doi.org/10.1039/d0cp05711h | DOI Listing |
Sensors (Basel)
October 2024
School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen 361005, China.
The screw, a critical element in a variety of transmission mechanisms, significantly influences the performance of the transmission process. Accurate measurement of screw lead is crucial for ensuring the quality of transmission equipment. However, the measurement process can be affected by the precision limits of the measuring instruments and the challenges of manual fine adjustments.
View Article and Find Full Text PDFCurr Biol
November 2024
Graduate School of Biostudies, Kyoto University, Yoshida-Konoecho, Kyoto 606-8501, Japan; Radiation Biology Center, Kyoto University, Yoshida-Konoecho, Kyoto 606-8501, Japan. Electronic address:
Sensing and control of size are critical for cellular function and survival. A striking example of size sensing occurs during meiosis in the nematode Caenorhabditis elegans. C.
View Article and Find Full Text PDFJ Chem Theory Comput
September 2024
Department of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel, Switzerland.
A kernel-based method (kernelized minimal distributed charge model (kMDCM)) to represent the molecular electrostatic potential (ESP) in terms of off-center point charges is introduced. The positions of the charges adapt to the molecular geometry and allow the description of intramolecular charge flow. Using Gaussian kernels and atom-atom distances as the features, the ESPs for water and methanol are shown to improve by at least a factor of 2 compared with point charge models fit to an ensemble of structures.
View Article and Find Full Text PDFLangmuir
September 2024
Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.
Multiple emulsions are used as templates for producing functional microcapsules due to their unique core-shell geometry. Employing glass capillary devices with coaxial channels has proven effective in creating uniform multiple-emulsion droplets. However, the use of partially miscible fluids, crucial for microcapsule production, often results in clogging and disrupts the stability of these devices.
View Article and Find Full Text PDFF1000Res
July 2024
Department of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Background: Recent innovations are making radiology more advanced for patient and patient services. Under the immense burden of radiology practice, Artificial Intelligence (AI) assists in obtaining Computed Tomography (CT) images with less scan time, proper patient placement, low radiation dose (RD), and improved image quality (IQ). Hence, the aim of this study was to evaluate and compare the positioning accuracy, RD, and IQ of AI-based automatic and manual positioning techniques for CT kidney ureters and bladder (CT KUB).
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