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Materials Science Conferences Manufacturing Conferences Conferences on Material Science Materials Science Congress 2018 Europe Russia USA

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Materials-Manufacturing 2018 is one among the worlds largest Materials Science Conferences aims at sharing new advances and new concepts among the industrialists, experts, and graduate students from the scientific arena of Materials Science, Metals and Biomaterials, Nanomaterials, Materials Physics, Materials Chemistry, to share their current developments and applications in different fields and enjoy intuitive talks and specialized sessions at the occasion. Euroscicon Ltd invites all the participants from all over the world to attend '2nd Edition of International conference on Materials Technology and Manufacturing Innovations' during October 04-05, 2018 in Moscow, Russia, which includes prompt keynote presentations, Oral Talks, Poster Presentations and Exhibitions. Theme of the conference "Experimenting materials to rewrite the history" is designed in such a way to explore the latest technologies and Innovations in the turf of Materials Science, Metallurgy and Manufacturing Engineering. The target of Materials-Manufacturing 2018 is to present the latest research and results of scientists related to Mechanical, Materials and Manufacturing efforts. Materials and Manufacturing deals with the multidisciplinary turfs which begins with design, production and development from raw materials into required specific applications.


Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach - Harvard Dataverse

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New Artificial Intelligence Tool Accelerates Discovery of Truly New Materials

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The new artificial intelligence tool has already led to the discovery of four new materials. Researchers at the University of Liverpool have created a collaborative artificial intelligence tool that reduces the time and effort required to discover truly new materials. Reported in the journal Nature Communications, the new tool has already led to the discovery of four new materials including a new family of solid state materials that conduct lithium. Such solid electrolytes will be key to the development of solid state batteries offering longer range and increased safety for electric vehicles. Further promising materials are in development.


Entirely new materials unearthed with AI tool

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The new tool has already led to the discovery of four new materials including a new family of solid state materials that conduct lithium. Such solid electrolytes will be key to the development of solid state batteries offering longer range and increased safety for electric vehicles. Further promising materials are in development. The University of Liverpool research team created a collaborative AI tool designed to reduce the time and effort required to discover truly new materials. The tool brings together artificial intelligence with human knowledge to prioritise those parts of unexplored chemical space where new functional materials are most likely to be found.


Duke U. lands $3M training grant for artificial intelligence research

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DURHAM – The National Science Foundation has awarded Duke University a $3 million, five-year Research Traineeship grant to develop a program for graduate students to develop expertise in using artificial intelligence (AI) for materials science research. The aiM (AI for Understanding and Designing Materials), program will fill a vital workforce gap by training the next generation in the new convergent field of materials and computer science research. "To achieve the promise of the U.S. Materials Genome Initiative of accelerated discovery, design and application of new materials, we must integrate the traditional tools of experimentation, theory and computation with the emerging tools of data science to transform the way we approach materials understanding and discovery," said Cate Brinson, chair of the Department of Mechanical Engineering & Materials Science and director of aiM. The Materials Genome Initiative (MGI), launched in 2011, is a multi-agency federal government effort to accelerate the development and deployment of new, advanced materials to address a host of challenges in clean energy, national security, health and welfare. "The MGI promoted a paradigm shift from slow individual experiments and computation to the beginnings of data-driven AI approaches in materials science research," added Brinson.