activity
20182020
most citedAccelerating Photovoltaic Materials Development via High-Throughput Experiments and Machine-Learning-Assisted Diagnosis

340 citations · 448 across the 6 of their papers we have counts for

collaborators

6 papers

physics.app-ph2020★ 27 cited

Strain-Tuned Magnetic Anisotropy in Sputtered Thulium Iron Garnet Ultrathin Films and TIG/Au/TIG Valve Structures

Gilvânia Vilela, Hang Chi, Gregory Stephen +6

Defining the magnetic anisotropy for in-plane or out-of-plane easy axis in ferrimagnetic insulators films by controlling the strain, while maintaining high-quality surfaces, is des…

cond-mat.mtrl-sci2019★ 77 cited

Crystal growth and structural analysis of perovskite chalcogenide BaZrS and Ruddlesden-Popper phase BaZrS

Shanyuan Niu, Boyang Zhao, Kevin Ye +7

Perovskite chalcogenides are gaining substantial interest as an emerging class of semiconductors for optoelectronic applications. High quality samples are of vital importance to ex…

physics.app-ph2018★ 1 cited

Anti-fatigue-fracture hydrogels

Shaoting Lin, Xinyue Liu, Ji Liu +8

The emerging applications of hydrogels in devices and machines require these soft materials to maintain robustness under cyclic mechanical loads. Whereas hydrogels have been made t…

physics.app-ph2018★ 340 cited

Accelerating Photovoltaic Materials Development via High-Throughput Experiments and Machine-Learning-Assisted Diagnosis

Shijing Sun, Noor T. P. Hartono, Zekun D. Ren +15

Accelerating the experimental cycle for new materials development is vital for addressing the grand energy challenges of the 21st century. We fabricate and characterize 75 unique h…

physics.data-an2018★ 1 cited

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks

Felipe Oviedo, Zekun Ren, Shijing Sun +9

X-ray diffraction (XRD) data acquisition and analysis is among the most time-consuming steps in the development cycle of novel thin-film materials. We propose a machine-learning-en…

cond-mat.mtrl-sci2018★ 2 cited

Local Strain Heterogeneity Influences the Optoelectronic Properties of Halide Perovskites

Timothy W. Jones, Anna Osherov, Mejd Alsari +18

Halide perovskites are promising semiconductors for inexpensive, high-performance optoelectronics. Despite a remarkable defect tolerance compared to conventional semiconductors, pe…