REVEALING PROCESSING STABILITY LANDSCAPE OF ORGANIC SOLAR CELLS WITH AUTOMATED RESEARCH PLATFORMS AND MACHINE LEARNING

Revealing processing stability landscape of organic solar cells with automated research platforms and machine learning

Abstract We use an automated research platform combined with machine learning to assess and understand the resilience against air and light during production of organic photovoltaic (OPV) devices from over 40 donor and acceptor combinations.The standardized protocol and high reproducibility of the platform results in a dataset of high variety and v

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Prevalence Estimation, Antimicrobial Susceptibility, and Serotyping of Salmonella enterica Recovered from New World Non-Human Primates (Platyrrhini), Feed, and Environmental Surfaces from Wildlife Centers in Costa Rica

Concern about zoonoses and wildlife has increased.Few studies described the role of wild mammals and environments in the epidemiology of Salmonella.Antimicrobial resistance is a growing problem associated with Salmonella that threatens global health, food security, the economy, and development in the 21st century.The aim of this study is to estimat

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