[Example] We will guide you through the exploration of transition states using LST/QST.
◇Transition State Exploration Using LST/QST: Case Study - To explore the potential energy surface of a chemical reaction, information regarding structural, energetic, and kinetic aspects for each step of the reaction process is necessary. - Among that information, finding the transition state is particularly important. - In this case study, we analyze using LST and QST, which are well-known methods for transition state exploration, in Materials Studio. 【Product Features】 ■ Also ideal for "Materials Informatics" ■ Simulation software that streamlines material development Available for use by those engaged in research, development, design, and manufacturing across various industries ■ Helps in the development of new materials more efficiently and easily. ■ Compatible with various types of materials ■ All operations, including crystal structure creation, calculation condition settings, and calculation result display, can be performed on a single GUI screen. *For more details, please feel free to contact us. Wavefront Corporation Sales Department MAIL: sales@wavefront.co.jp
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【Tools】 ■ Quantum Mechanics Simulation Tool ■ Classical Simulation Tool ■ Mesoscale Simulation Tool ■ Statistical Tool ■ Analysis/Crystallization Tool 【Examples】 ・Crystal Growth ・Behavior of Atoms on Crystal Surfaces ・Crystal Analysis ・Calculation of Physical Properties ・Sputtering Simulation ・Improvement of Lubricant Performance ・Catalysts ・Tribochemical (Lubrication) Reactions etc. *For more details, please feel free to contact us. Wavefront Corporation Sales Department MAIL: sales@wavefront.co.jp URL: https://www.wavefront.co.jp/
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For more details, please refer to the catalog or feel free to contact us. Contact: sales@wavefront.co.jp 〒220-6112 12th Floor, Queens Tower B, 2-3-3 Minatomirai, Nishi-ku, Yokohama, Kanagawa TEL: 045-682-7070 URL: https://www.wavefront.co.jp/
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Materials Studio provides a graphical user environment called Materials Studio Visualizer, which can be used to create, manipulate, and display models of molecules, crystals, surfaces, polymers, and mesoscale structures.
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Multiscale Simulation of Materials 'Materials Studio' is a comprehensive modeling/simulation platform equipped with: - Quantum mechanics (Density Functional Theory) - Classical mechanics (Molecular Dynamics Calculations) - Mesoscale (Dissipative Particle Dynamics Calculations, etc.) along with statistical, analytical, and crystallization tools.
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◇Transition State Exploration Using LST/QST (Overview) - To explore the potential energy surface of a chemical reaction, information regarding structural, energetic, and kinetic aspects for each step of the reaction process is necessary. - Among that information, finding the transition state is particularly important. - In this case, we are analyzing using LST and QST, which are well-known methods for transition state exploration, in "Materials Studio."
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◇Calculation Model and Methods 221_4 - Vinyl alcohol was used as the reactant, and acetaldehyde was used as the product in the calculation model. - Additionally, by using LST to linearly interpolate the reaction pathway from the reactants and products, we created the reaction pathway. - By combining this reaction pathway with QST, we will conduct a transition state search. - For the structural optimization of the model and the transition state search, we used the DMol3 module, which can handle a wide range of computational targets in quantum mechanical calculations.
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◇Discussion of the Required Physical Property Values - The diagram shows the flow of transition state analysis. - First, by combining the linear reaction pathway obtained from LST with QST, we explore and plot the reaction pathway. - Next, we analyze the spectrum from the results and visualize the molecular movements related to the peaks of the imaginary frequencies. - In the visualized molecule, it can be seen that as hydrogen moves, the bond order also changes.
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Our company develops and sells a "Maintenance Management System" for managing and operating various plants, factories, and other facilities and assets. Currently, this system is undergoing significant evolution into one that incorporates IoT technologies, such as sensor information and input from tablet devices, as well as AI technologies like machine learning, featuring functions for failure prediction and automatic scheduling. Additionally, as part of the recent trend towards digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to enhance operational efficiency. In line with this trend, our company provides a solution aimed at improving efficiency in research and development environments, known as the Laboratory Information Management System (LIMS), which includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.