The growth of artificial intelligence requires better computation at lower energy. Semiconductors remain the more prolific materials platform driving practical improvements to device hardware. Here, the authors outline a critical pathway for accelerating the transfer of early findings in material science into manufactural processes for faster scale-up and technology applications.
