Networking autonomous material exploration systems through transfer learning | npj Computational Materials
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Researchers are exploring the use of transfer learning to advance materials research, potentially accelerating the discovery of new materials. Autonomous systems and artificial intelligence models are being utilized to improve the efficiency of this process. The development of these systems and frameworks appears to be an active area of research, with various studies and surveys examining their applications and potential.
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