36 citations · 156 across the 25 of their papers we have counts for
11 papers · 1 filter
Exploring the microstructural origins of conductivity and hysteresis in metal halide perovskites via active learning driven automated scanning probe microscopy
Yongtao Liu, Jonghee Yang, Rama K. Vasudevan +4
Electronic transport and hysteresis in metal halide perovskites (MHPs) are key to the applications in photovoltaics, light emitting devices, and light and chemical sensors. These p…
Disentangling electronic transport and hysteresis at individual grain boundaries in hybrid perovskites via automated scanning probe microscopy
Yongtao Liu, Jonghee Yang, Benjamin J. Lawrie +4
Underlying the rapidly increasing photovoltaic efficiency and stability of metal halide perovskites (MHPs) is the advance in the understanding of the microstructure of polycrystall…
Mapping the Pathways of Photo-induced Ion Migration in Organic-inorganic Hybrid Halide Perovskites
Taeyong Kim, Soyeon Park, Vasudevan Iyer +7
Organic-inorganic hybrid perovskites (OIHPs) exhibiting exceptional photovoltaic and optoelectronic properties are of fundamental and practical interest, owing to their tunability…
Ferroelectricity in Hafnia Controlled via Surface Electrochemical State
Kyle P. Kelley, Anna N. Morozovska, Eugene A. Eliseev +6
Ferroelectricity in binary oxides including hafnia and zirconia have riveted the attention of the scientific community due to highly unconventional physical mechanisms and the pote…
Probing temperature-induced phase transitions at individual ferroelectric domain walls
Kyle P. Kelley, Sergei V. Kalinin, Eugene Eliseev +4
Ferroelectric domain walls have emerged as one of the most fascinating objects in condensed matter physics due to the broad variability of functional behaviors they exhibit. Howeve…
Learning the right channel in multimodal imaging: automated experiment in Piezoresponse Force Microscopy
Yongtao Liu, Rama K. Vasudevan, Kyle P. Kelley +3
We report the development and experimental implementation of the automated experiment workflows for the identification of the best predictive channel for a phenomenon of interest i…
Automated Experiments of Local Non-linear Behavior in Ferroelectric Materials
Yongtao Liu, Kyle P. Kelley, Rama K. Vasudevan +7
We develop and implement an automated experiment in multimodal imaging to probe structural, chemical, and functional behaviors in complex materials and elucidate the dominant physi…
Exploring Physics of Ferroelectric Domain Walls in Real Time: Deep Learning Enabled Scanning Probe Microscopy
Yongtao Liu, Kyle P. Kelley, Hiroshi Funakubo +2
The functionality of ferroelastic domain walls in ferroelectric materials is explored in real-time via the in-situ implementation of computer vision algorithms in scanning probe mi…
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning
Maxim Ziatdinov, Yongtao Liu, Kyle Kelley +2
Recent progress in machine learning methods, and the emerging availability of programmable interfaces for scanning probe microscopes (SPMs), have propelled automated and autonomous…
Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials
Yongtao Liu, Anna Morozovska, Eugene Eliseev +4
We report the development and implementation of a hypothesis learning based automated experiment, in which the microscope operating in the autonomous mode identifies the physical l…
Temperature-assisted Piezoresponse Force Microscopy: Probing Local Temperature-Induced Phase Transitions in Ferroics
Anna N. Morozovska, Eugene A. Eliseev, Kyle Kelley +1
Combination of local heating and biasing at the tip-surface junction in temperature-assisted piezoresponse force microscopy (tPFM) opens the pathway for probing local temperature i…