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Academic Journal

Characterizing Uncertainty in Machine Learning for Chemistry

Authors : Heid, Esther; McGill, Charles J; Vermeire, Florence H ...

Source: American Chemical Society

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Academic Journal

Challenges and Opportunities of Machine Learning on Neutron and X-ray Scattering

Authors : Drucker, Nathan C; Liu, Tongtong; Chen, Zhantao ...

Source: Taylor & Francis

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Academic Journal

Opportunities for Machine Learning and Artificial Intelligence to Advance Synthetic Drug Substance Process Development

Authors : Griffin, Daniel J; Coley, Connor W; Frank, Scott A ...

Source: American Chemical Society

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Academic Journal

Reproducing Reaction Mechanisms with Machine‐Learning Models Trained on a Large‐Scale Mechanistic Dataset

Authors : Joung, Joonyoung F; Fong, Mun Hong; Roh, Jihye ...

Source: Wiley

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Academic Journal

Point-of-Care No-Specimen Diagnostic Platform Using Machine Learning and Raman Spectroscopy: Proof-of-Concept Studies for Both COVID-19 and Blood Glucose

Authors : Chefitz, Allen B.; Singh, Rohit; Birch, Thomas ...

Source: Multidisciplinary Digital Publishing Institute

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Academic Journal

Multiple testing for signal-agnostic searches for new physics with machine learning

Authors : Grosso, Gaia; Letizia, Marco; Massachusetts Institute of Technology. Laboratory for Nuclear Science

Source: Springer Berlin Heidelberg

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Academic Journal

A two-level machine learning approach for predicting thermal striping in T-junctions with upstream elbow

Authors : Wang, Yu-Jou; Baglietto, Emilio; Shirvan, Koroush ...

Source: Taylor & Francis

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Academic Journal

Machine learning used to study risk factors for chronic diseases: A scoping review

Authors : Shergill, Mahek; Durant, Steve; Birdi, Sharon ...

Source: Springer International Publishing

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Academic Journal

Toward smart carbon capture with machine learning

Authors : Rahimi, Mohammad; Moosavi, Seyed Mohamad; Smit, Berend ...

Source: Elsevier BV

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Academic Journal

Using experimental data in computationally guided rational design of inorganic materials with machine learning

Authors : Kulik, Heather J.;

Source: Springer International Publishing

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فلترة النتائج

Characterizing Uncertainty in Machine Learning for Chemistry

Challenges and Opportunities of Machine Learning on Neutron and X-ray Scattering

Opportunities for Machine Learning and Artificial Intelligence to Advance Synthetic Drug Substance Process Development

Reproducing Reaction Mechanisms with Machine‐Learning Models Trained on a Large‐Scale Mechanistic Dataset

Point-of-Care No-Specimen Diagnostic Platform Using Machine Learning and Raman Spectroscopy: Proof-of-Concept Studies for Both COVID-19 and Blood Glucose

Multiple testing for signal-agnostic searches for new physics with machine learning

A two-level machine learning approach for predicting thermal striping in T-junctions with upstream elbow

Machine learning used to study risk factors for chronic diseases: A scoping review

Toward smart carbon capture with machine learning

Using experimental data in computationally guided rational design of inorganic materials with machine learning

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