Hybrid Learning Enables Reproducible >24% Efficiency in Autonomously Fabricated Perovskites Solar Cells
Sign Up to like & getrecommendations! Published in 2025 at "Advanced Energy Materials"
DOI: 10.1002/aenm.202504340
Abstract: Achieving high‐performance perovskite solar cells (PSCs) with satisfactory reproducibility remains a major challenge due to their intrinsic susceptibility to processing variations and environmental fluctuations. To address this challenge, this study introduces an autonomous optimization framework… read more here.
Keywords: efficiency; enables reproducible; solar cells; hybrid learning ... See more keywords
Machine Learning Enables Prediction of Halide Perovskites’ Optical Behavior with >90% Accuracy
Sign Up to like & getrecommendations! 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… read more here.
Keywords: behavior; accuracy; machine learning; enables prediction ... See more keywords
Machine Learning Enables Rapid Screening of Reactive Fly Ashes Based on Their Network Topology
Sign Up to like & getrecommendations! 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 ... read more here.
Keywords: learning enables; fly; topology; rapid screening ... See more keywords
Machine learning enables non-Gaussian investigation of changes to peripheral nerves related to electrical stimulation
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-53284-w
Abstract: Electrical stimulation of the peripheral nervous system (PNS) is becoming increasingly important for the therapeutic treatment of numerous disorders. Thus, as peripheral nerves are increasingly the target of electrical stimulation, it is critical to determine… read more here.
Keywords: peripheral nerves; machine learning; stimulation; electrical stimulation ... See more keywords
Machine learning enables long time scale molecular photodynamics simulations† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c9sc01742a
Sign Up to like & getrecommendations! 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. read more here.
Keywords: enables long; long time; machine learning; learning enables ... See more keywords
Machine learning enables de novo multiepitope design of Plasmodium falciparum circumsporozoite protein to target trimeric L9 antibody.
Sign Up to like & getrecommendations! Published in 2025 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2512358122
Abstract: Significance In this study, we present a machine learning–driven, structure-guided protein design pipeline built specifically for the design of multiepitope vaccine antigens. We employ the pipeline here to design and solve the cryo-EM structure of… read more here.
Keywords: antibody; machine learning; enables novo; design ... See more keywords
Professional learning that enables the development of critical praxis
Sign Up to like & getrecommendations! 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... read more here.
Keywords: enables development; development; professional learning; learning enables ... See more keywords
Deep Learning Enables Fast and Accurate Imputation of Gene Expression
Sign Up to like & getrecommendations! 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… read more here.
Keywords: imputation; gene expression; deep learning; expression ... See more keywords
Supervised Machine Learning Enables Geospatial Microbial Provenance
Sign Up to like & getrecommendations! 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… read more here.
Keywords: supervised machine; machine learning; enables geospatial; geospatial microbial ... See more keywords