Machine learning methods offer great promise for fast and accurate detection and prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest radiographs (CXR) and chest computed tomography (CT) images. Many articles have been published in 2020 describing new machine learning-based models for both of these tasks, but it is unclear which are of potential clinical utility. In this systematic review, we consider all published papers and preprints, for the period from 1 January 2020 to 3 October 2020, which describe new machine learning models for the diagnosis or prognosis of COVID-19 from CXR or CT images. All manuscripts uploaded to bioRxiv, medRxiv and arXiv along with all entries in EMBASE and MEDLINE in this timeframe are considered. Our search identified 2,212 studies, of which 415 were included after initial screening and, after quality screening, 62 studies were included in this systematic review. Our review finds that none of the models identified are of potential clinical use due to methodological flaws and/or underlying biases. This is a major weakness, given the urgency with which validated COVID-19 models are needed. To address this, we give many recommendations which, if followed, will solve these issues and lead to higher-quality model development and well-documented manuscripts.

Quantum-confined CsPbBr3 nanoplatelets (NPLs) are extremely promising for use in low-cost blue light-emitting diodes, but their tendency to coalesce in both solution and film form, particularly under operating device conditions with injected charge-carriers, is hindering their adoption. We show that employing a short hexyl-phosphonate ligand (C6H15O3P) in a heat-up colloidal approach for pure, blue-emitting quantum-confined CsPbBr3 NPLs significantly suppresses these coalescence phenomena compared to particles capped with the typical oleyammonium ligands. The phosphonate-passivated NPL thin films exhibit photoluminescence quantum yields of ∼40% at 450 nm with exceptional ambient and thermal stability. The color purity is preserved even under continuous photoexcitation of carriers equivalent to LED current densities of ∼3.5 A/cm2. 13C, 133Cs, and 31P solid-state MAS NMR reveal the presence of phosphonate on the surface. Density functional theory calculations suggest that the enhanced stability is due to the stronger binding affinity of the phosphonate ligand compared to the ammonium ligand.

Extensive studies have focused on improving the operational stability of perovskite solar cells but few surveyed the fundamental degradation mechanisms. One aspect overlooked in earlier works is the effect of the atmosphere on the device performance during operation.Here, we investigate the degradation mechanisms of perovskite solar cells operated under vacuum and a nitrogen atmosphere using synchrotron radiation-based operando grazingincidence X-ray scattering methods. Unlike what was seen in previous reports, we find that light-induced phase segregation, lattice shrinkage, and morphology deformation occur under vacuum. Under nitrogen, only lattice shrinkage appears during the operation of solar cells resulting in a better device stability. The different behavior in nitrogen is attributed a larger energy barrier for lattice distortion and phase segregation. Finally, we find that the migration of excessive PbI2 to the interface between the perovskite and the hole transport layer degrade the performance of devices either under vacuum or nitrogen.3 Solution-processed hybrid halide perovskite materials have attracted strong interest for next-generation thin-film photovoltaic applications due to their high power conversion efficiency (PCE) and low fabrication costs compared to silicon photovoltaics 1 . With solvent engineering, compositional tuning, and surface passivation 2-4 , the highest PCE of perovskite solar cells (PSCs) has reached 25.5 % 5 . Moreover, possibility of fabricating PSCs on flexible substrates opens up promising manufacturing routes, and novel application fields are explored, such as lightweight photovoltaic devices for space applications. Previous studies showed that PSCs were successfully operated in space with low vacuum conditions such as on a highaltitude balloon and a suborbital rocket [6][7][8] . Although these pioneers confirmed the possibility of operating PSCs in space, the operational stability of PSCs is unknown under such conditions.In terrestrial studies, vacuum conditions play a major role in the performance loss of PSCs during operation. Thus, although there is such a rapid increase in the PCE, very significant challenges remain. More research is required to increase the stability of the materials and the longevity of the devices, as long-term operational stability remains the main challenge for realworld applications of hybrid halide perovskite materials. Therefore, investigating the performance degradation mechanism of PSCs under different atmospheric conditions is one key approach to further improving the long-term operational stability of PSCs 9 .Exposure to above-bandgap illumination can cause a loss of phase and structure stability for perovskite materials. For instance, phase segregation introduced by lattice distortion, halide migration, and crystalline reorganization can cause an open-circuit voltage penalty arising from halide segregation 10 . In addition, several studies have indicated that a lattice distortion under illumination originates from light excitation or therm...

received his B.Eng. degree from Imperial College London in 2017 and then received his M.Phil. degree from the University of Cambridge in 2018. He is pursuing his Ph.D. degree at the University of Cambridge with research interests in perovskite light-emitting and imaging algorithm applications. Miguel Anaya is a research fellow at Darwin College and a Marie Curie Fellow in the Cavendish Laboratory at the University of Cambridge. He completed his Ph.D. at the Spanish National Research Council in 2018, with recognition from the Spanish Royal Society of Physics as the Best Thesis in Experimental Physics. He leads a subgroup at the StranksLab focused on the modeling, fabrication, and characterization of perovskite-based light-emitting devices and sensors.

Perovskite light-emitting diodes (LEDs) have attracted broad attention due to their rapidly increasing external quantum efficiencies (EQEs) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] . However, most high EQEs of perovskite LEDs are reported at low current densities (< 1 mA cm -2 ) and low brightness. Decrease in efficiency and rapid degradation at high brightness inhibit their practical applications. Here,