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Entirely new materials unearthed with AI tool

#artificialintelligence

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.


Collaborative AI tool accelerates material discoveries

#artificialintelligence

Researchers at Liverpool University have created a collaborative AI tool that reduces the time and effort required to discover new materials. The new tool has led to the discovery of four new materials including a new family of solid-state materials that conduct lithium, an advance that is key to the development of solid-state batteries offering longer range and increased safety for electric vehicles. Further promising materials are said to be in development. The Liverpool team's findings are detailed in Nature Communications. The tool brings together AI with human knowledge to prioritise those parts of unexplored chemical space where new functional materials are most likely to be found.


Scientists use machine learning algorithms to create a real-life Doodle God

#artificialintelligence

Scientists from the University of Liverpool have taught computers to sift through the infinite possibilities of atoms in search of new materials. The computers use machine-learning to help scientists narrow their focus when combining atoms to create something entirely new. This new research will allow scientists to input previously known materials into a machine learning algorithm so that the computer can then predict what similar atomic pairings will produce. Understanding which atoms will combine to form new materials from the vast space of possible candidates is one of the grand scientific challenges, and solving it will open up exciting scientific opportunities that could lead to important properties. The process is much more complex than wood-plus-fire-equals-torch.


Scientists use machine learning algorithms to create a real-life Doodle God

@machinelearnbot

Scientists from the University of Liverpool have taught computers to sift through the infinite possibilities of atoms in search of new materials. The computers use machine-learning to help scientists narrow their focus when combining atoms to create something entirely new. This new research will allow scientists to input previously known materials into a machine learning algorithm so that the computer can then predict what similar atomic pairings will produce. At the University of Liverpool they used the research to predict crystal growth.


Scientists use machine learning algorithms to create a real-life Doodle God

#artificialintelligence

Scientists from the University of Liverpool have taught computers to sift through the infinite possibilities of atoms in search of new materials. The computers use machine-learning to help scientists narrow their focus when combining atoms to create something entirely new. This new research will allow scientists to input previously known materials into a machine learning algorithm so that the computer can then predict what similar atomic pairings will produce. At the University of Liverpool they used the research to predict crystal growth.