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Understanding Proton transfer in molecules, both in the gas phase and in the solid state, can proceed quite quickly with a low energy barrier and a small energy difference between the initial and final states. As a result, numerous molecules can exist as different tautomers...

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World Oceans Day by United Nations is a reminder of the importance of oceans and ocean life for the rest of our planet. This year the theme of this day is Planet Ocean, which embodies the desire to put the ocean first in our work of protecting the natural environment.

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BIOVIA’s Contract Research team utilizes machine learning to address complex challenges faced by clients in the fields of energy, materials, consumer goods, aerospace, healthcare, and life sciences. They have developed Advanced Technology Capability (ATC) assets and have solved problems ranging from designing new polymer terminating agents to predicting the remaining useful life of batteries.

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Here we’ll examine how imaging analytics can provide accurate and informative data for applying AI to the additive manufacturing process. This will enable the vision of model-based predictive control for this process to become a reality. By using this approach, manufacturers can quickly and accurately identify potential areas of improvement and optimize their additive manufacturing process.

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Luis Reig, a scientific software development intern at BIOVIA, shares his experience in this video. He worked with his team for six months to combine Material Studio’s Phase Field simulations with Simulia’s tools to create a multi-scale and multi-physics digital approach to metal manufacturing.

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Chemical Vapour Deposition (CVD) is an essential technique for growing metallic films, and it has been around for over a century. Today, the range of applications for CVD has expanded to include electrical, optoelectronic, optical, mechanical, and chemical materials, among others. To understand the growth processes and improve product characteristics, researchers rely on quantum mechanical calculations, particularly density functional theory (DFT).

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Explore how to use BIOVIA Pipeline Pilot to analyze the Titanic dataset, available on Kaggle.com Pipeline Pilot allows users to manage and analyze complex scientific data by integrating data from multiple sources and creating customized scientific workflows.

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Learn how missing data can affect the accuracy of machine learning models and how to enhance the data by imputing missing values using Pipeline Pilot.

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By investing in the future of the workforce, Dassault Systèmes drives innovation, growth, and development and positions itself as a leader in the software industry.

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Access to healthy, unpolluted water is a fundamental human right. Unfortunately, there are many water quality problems, and technological progress often creates new ones.

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Discover how advancements in battery materials can improve the efficiency and performance of the batteries that power our modern world.

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