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11/22/2022
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark
We provide a new multi-task benchmark for evaluating text-to-image model...
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08/26/2022
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization
Needle-in-a-Haystack problems exist across a wide range of applications ...
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07/01/2022
Introducing flexible perovskites to the IoT world using photovoltaic-powered wireless tags
Billions of everyday objects could become part of the Internet of Things...
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11/01/2021
Interpretable and Explainable Machine Learning for Materials Science and Chemistry
While the uptake of data-driven approaches for materials science and che...
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10/08/2021
Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up
While halide perovskites attract significant academic attention, example...
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10/01/2021
Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing
Photovoltaics (PV) have achieved rapid development in the past decade in...
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05/28/2021
Autonomous Optimization of Fluid Systems at Varying Length Scales
Autonomous optimization is a process by which hardware conditions are di...
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05/06/2021
Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop
High-performance semiconductor optoelectronics such as perovskites have ...
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10/27/2020
A robust low data solution: dimension prediction of semiconductor nanorods
Precise control over dimension of nanocrystals is critical to tune the p...
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05/15/2020
Inverse design of crystals using generalized invertible crystallographic representation
Deep learning has fostered many novel applications in materials informat...
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09/12/2019
Long range battery-less PV-powered RFID tag sensors
Communication range in passive Radio-Frequency Identification (RFID) fro...
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09/12/2019
Self-powered sensors enabled by wide-bandgap perovskite indoor photovoltaic cells
We present a new approach to ubiquitous sensing for indoor applications,...
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11/20/2018
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks
X-ray diffraction (XRD) for crystal structure characterization is among ...
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03/20/2018
