800 citations · 3.2k across the 56 of their papers we have counts for
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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…
Machine learning enables polymer cloud-point engineering via inverse design
Jatin N. Kumar, Qianxiao Li, Karen Y. T. Tang +3
Inverse design is an outstanding challenge in disordered systems with multiple length scales such as polymers, particularly when designing polymers with desired phase behavior. We…
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…
Bayesim: a tool for adaptive grid model fitting with Bayesian inference
Rachel C. Kurchin, Giuseppe Romano, Tonio Buonassisi
Bayesian inference is a widely used and powerful analytical technique in fields such as astronomy and particle physics but has historically been underutilized in some other discipl…
Homogenization of Halide Distribution and Carrier Dynamics in Alloyed Organic-Inorganic Perovskites
Juan-Pablo Correa-Baena, Yanqi Luo, Thomas M. Brenner +15
Perovskite solar cells have shown remarkable efficiencies beyond 22%, through organic and inorganic cation alloying. However, the role of alkali-metal cations is not well-understoo…
Urban Haze and Photovoltaics
I. M. Peters, S. Karthik, L. Haohui +2
Urban haze is a multifaceted threat. Foremost a major health hazard, it also affects the passage of light through the lower atmosphere. In this paper, we present a study addressing…
Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing
Juan Pablo Correa-Baena, Kedar Hippalgaonkar, Jeroen van Duren +6
Successful materials innovations can transform society. However, materials research often involves long timelines and low success probabilities, dissuading investors who have expec…