In this community review report, we discuss applications and techniques for fast machine
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …

Piezoelectric and ferroelectric materials have garnered significant interest owing to their
excellent physical properties and multiple potential applications. Accordingly, the need for …

The use of statistical/machine learning (ML) approaches to materials science is
experiencing explosive growth. Here, we review recent work focusing on the generation and …

Scanning probe microscopy (SPM) techniques have opened the door to nanoscience and
nanotechnology by enabling imaging and manipulation of the structure and functionality of …

Fundamental mechanisms of energy storage, corrosion, sensing, and multiple biological
functionalities are directly coupled to electrical processes and ionic dynamics at solid–liquid …

The rapid development of spectral-imaging methods in scanning probe, electron, and optical
microscopy in the last decade have given rise for large multidimensional datasets. In many …

Electron microscopy is undergoing a transition; from the model of producing only a few
micrographs, through the current state where many images and spectra can be digitally …

Kelvin probe force microscopy (KPFM) has provided deep insights into the local electronic,
ionic and electrochemical functionalities in a broad range of materials and devices. In …

The ability to manipulate domains underpins function in applications of ferroelectrics. While
there have been demonstrations of controlled nanoscale manipulation of domain structures …

The coupling between magnetic and electric subsystems in composites of ferromagnetic and
ferroelectric phases is a product property that is facilitated by mechanical strain that arises …