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New Method Enables the Targeted Design of Molecules and Materials

Considerable progress for drug discovery, industrial processes, and optoelectronics could be yielded by engineering novel molecules and materials with specific properties. ....

Rhyan Barrett , Julia Westermayr , Joe Gilkes , Skyla Baily , Researchers At Leipzig University , Department Of Chemistry , Molecules With Optimized Properties , University Of Warwick , Leipzig University , Nature Computational , Study First Author , Assistant Professor , Wilhelm Ostwald Institute , Theoretical Chemistry , Artificial Intelligence , Augmented Intelligence , Automated Investigations , Scientific Discovery ,

Artificial intelligence could help humans predict future disasters and pandemics, study reveals

The machine learning model scientists used is called DeepOnet, a type of artificial neural network that mimics the neuronal connections of the human brain. ....

United States , George Karniadakis , Massachusetts Institute Of Technology , Brown University , Massachusetts Institute , Nature Computational ,

Artificial intelligence and the rise of optical computing

Photonic data-processing is well-suited to the age of deep learning | Science & technology ....

United States , Massachusetts Institute Of Technology , Nicholas Harris , Ryan Hamerly , Los Angeles , James Clerk Maxwell , Ugur Tegin , Aydogan Ozcan , Maurice Steinman , Demetri Psaltis , University Of California , Swiss Federal Institute Of Technology , California Institute Of Technology Caltech , James Clerk , California Institute , Swiss Federal Institute , Massachusetts Institute , Nature Computational ,

AI Algorithm Predicts the Structure and Dynamic Properties of Any Material Instantaneously

Nanoengineers at the University of California San Diego's Jacobs School of Engineering have developed an AI algorithm that predicts the structure and dynamic properties of any material-;whether existing or new-;almost instantaneously. ....

Laura Thomsonnov , Google Deepmind , Chi Chen , Lg Energy Solution , Materials Sciences , Energy Center , Us Department Of Energy , Engineering Division , Office Of Basic Energy Sciences , Jacobs School Of Engineering , Office Of Science , Frontier Research Laboratory Program , California San Diego , Jacobs School , Shyue Ping Ong , Nature Computational , Sustainable Power , Materials Project , Inorganic Crystal Structure Database , Basic Energy Sciences , Frontier Research Laboratory , Extreme Science , Engineering Discovery Environment ,

Nanoengineers Develop an AI Algorithm that Expands the Exploration Space for Materials

Nanoengineers at the University of California San Diego's Jacobs School of Engineering have developed an AI algorithm that predicts the structure and dynamic properties of any material-;whether existing or new-;almost instantaneously. ....

Laura Thomsonnov , Google Deepmind , Chi Chen , Lg Energy Solution , Materials Sciences , Energy Center , Us Department Of Energy , Engineering Division , Office Of Basic Energy Sciences , Jacobs School Of Engineering , Office Of Science , Frontier Research Laboratory Program , California San Diego , Jacobs School , Shyue Ping Ong , Nature Computational , Sustainable Power , Materials Project , Inorganic Crystal Structure Database , Basic Energy Sciences , Frontier Research Laboratory , Extreme Science , Engineering Discovery Environment ,