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Published in 2023 at "ACS Energy Letters"
DOI: 10.1021/acsenergylett.2c02555
Abstract: The composition-dependent degradation of hybrid organic–inorganic perovskites (HOIPs) due to environmental stressors still precludes their commercialization. It is very difficult to quantify their behavior upon exposure to each stressor by exclusively using trial-and-error methods due…
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Keywords:
behavior;
accuracy;
machine learning;
enables prediction ... See more keywords
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1
Published in 2021 at "ACS Sustainable Chemistry & Engineering"
DOI: 10.1021/acssuschemeng.0c06978
Abstract: Fly ash, a byproduct of coal combustion, can be used as supplementary cementitious material (SCM) to replace ordinary portland cement (OPC) in concrete. This generates revenue for coal power plant ...
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Keywords:
learning enables;
fly;
topology;
rapid screening ... See more keywords
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Published in 2019 at "Chemical Science"
DOI: 10.1039/c9sc01742a
Abstract: Machine learning enables excited-state molecular dynamics simulations including nonadiabatic couplings on nanosecond time scales.
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Keywords:
enables long;
long time;
machine learning;
learning enables ... See more keywords
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Published in 2021 at "Professional Development in Education"
DOI: 10.1080/19415257.2021.1879228
Abstract: Professional learning is increasingly understood as vital for the development of educators, and for the development of a strong educational system. We argue that the most essential purpose of profe...
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Keywords:
enables development;
development;
professional learning;
learning enables ... See more keywords
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1
Published in 2021 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2021.624128
Abstract: A question of fundamental biological significance is to what extent the expression of a subset of genes can be used to recover the full transcriptome, with important implications for biological discovery and clinical application. To…
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Keywords:
imputation;
gene expression;
deep learning;
expression ... See more keywords
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Published in 2022 at "Genes"
DOI: 10.3390/genes13101914
Abstract: The recent increase in publicly available metagenomic datasets with geospatial metadata has made it possible to determine location-specific, microbial fingerprints from around the world. Such fingerprints can be useful for comparing microbial niches for environmental…
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Keywords:
supervised machine;
machine learning;
enables geospatial;
geospatial microbial ... See more keywords