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20182025
most citedAccelerating Materials Development via Automation, Machine Learning, and High-Performance Computing

348 citations · 918 across the 15 of their papers we have counts for

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6 papers · 1 filter

physics.app-ph2024

Super-Bandgap Electroluminescence from Cesium Lead Bromide

Justin Sculley, Jeremy Kowkabany, Diana K. LaFollette +4

Halide perovskites is a new class of semiconductors with exceptional optoelectronic properties. Among many advantages offered by halide perovskites, the bandgap energy can be tuned…

physics.app-ph2024

Highly stable photoluminescence in vacuum-processed halide perovskite core-shell 1D nanostructures

Javier Castillo-Seoane, Lidia Contreras-Bernal, T. Cristina Rojas +6

Hybrid organometal halide perovskites (HP) present exceptional optoelectronic properties, but their poor long-term stability is a major bottleneck for their commercialization. Here…

physics.app-ph2019★ 134 cited

Self-powered sensors enabled by wide-bandgap perovskite indoor photovoltaic cells

Ian Mathews, Sai Nithin Reddy Kantareddy, Shijing Sun +7

We present a new approach to ubiquitous sensing for indoor applications, using high-efficiency and low-cost indoor perovksite photovoltaic cells as external power sources for backs…

physics.app-ph2019

Triplet-sensitization by lead halide perovskite thin films for near-infrared-to-visible upconversion

Lea Nienhaus, Juan-Pablo Correa-Baena, Sarah Wieghold +9

Lead halide-based perovskite thin films have attracted great attention due to the explosive increase in perovskite solar cell efficiencies. The same optoelectronic properties that…

physics.app-ph2019

Trap states impact photon upconversion in rubrene sensitized by lead halide perovskite thin films

Sarah Wieghold, Alexander S. Bieber, Zachary A. VanOrman +2

The same optical and electronic properties that make perovskite thin films ideal absorber materials in photovoltaic applications are also beneficial in photon upconversion devices.…

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…