Piezoresponse force microscopy and nanoferroic phenomena

A Gruverman, M Alexe, D Meier - Nature communications, 2019 - nature.com
Since its inception more than 25 years ago, Piezoresponse Force Microscopy (PFM) has
become one of the mainstream techniques in the field of nanoferroic materials. This review …

Measuring viscoelasticity of soft biological samples using atomic force microscopy

YM Efremov, T Okajima, A Raman - Soft matter, 2020 - pubs.rsc.org
Mechanical properties play important roles at different scales in biology. At the level of a
single cell, the mechanical properties mediate mechanosensing and mechanotransduction …

Highly enhanced ferroelectricity in HfO2-based ferroelectric thin film by light ion bombardment

S Kang, WS Jang, AN Morozovska, O Kwon, Y **… - Science, 2022 - science.org
Continuous advancement in nonvolatile and morphotropic beyond-Moore electronic devices
requires integration of ferroelectric and semiconductor materials. The emergence of hafnium …

Thin‐film ferroelectrics

A Fernandez, M Acharya, HG Lee, J Schimpf… - Advanced …, 2022 - Wiley Online Library
Over the last 30 years, the study of ferroelectric oxides has been revolutionized by the
implementation of epitaxial‐thin‐film‐based studies, which have driven many advances in …

Chemical nature of ferroelastic twin domains in CH3NH3PbI3 perovskite

Y Liu, L Collins, R Proksch, S Kim, BR Watson… - Nature materials, 2018 - nature.com
The extraordinary optoelectronic performance of hybrid organic–inorganic perovskites has
resulted in extensive efforts to unravel their properties. Recently, observations of ferroic twin …

[HTML][HTML] Ferroelectric or non-ferroelectric: Why so many materials exhibit “ferroelectricity” on the nanoscale

RK Vasudevan, N Balke, P Maksymovych… - Applied Physics …, 2017 - pubs.aip.org
Ferroelectric materials have remained one of the major focal points of condensed matter
physics and materials science for over 50 years. In the last 20 years, the development of …

Bayesian active learning for scanning probe microscopy: From Gaussian processes to hypothesis learning

M Ziatdinov, Y Liu, K Kelley, R Vasudevan, SV Kalinin - ACS nano, 2022 - ACS Publications
Recent progress in machine learning methods and the emerging availability of
programmable interfaces for scanning probe microscopes (SPMs) have propelled …

Nanoscale map** of ion diffusion in a lithium-ion battery cathode

N Balke, S Jesse, AN Morozovska, E Eliseev… - Nature …, 2010 - nature.com
The movement of lithium ions into and out of electrodes is central to the operation of lithium-
ion batteries. Although this process has been extensively studied at the device level, it …

Automated and autonomous experiments in electron and scanning probe microscopy

SV Kalinin, M Ziatdinov, J Hinkle, S Jesse, A Ghosh… - ACS …, 2021 - ACS Publications
Machine learning and artificial intelligence (ML/AI) are rapidly becoming an indispensable
part of physics research, with domain applications ranging from theory and materials …

Differentiating ferroelectric and nonferroelectric electromechanical effects with scanning probe microscopy

N Balke, P Maksymovych, S Jesse, A Herklotz… - ACS …, 2015 - ACS Publications
Ferroelectricity in functional materials remains one of the most fascinating areas of modern
science in the past several decades. In the last several years, the rapid development of …