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Profiling microbial communities in idiopathic granulomatous mastitis
Published 2023Get full text
Journal Article -
604
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605
Next-generation transgenic mice for optogenetic analysis of neural circuits
Published 2014Get full text
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Journal Article -
606
Observation of flat bands and Dirac cones in a pyrochlore lattice superconductor
Published 2024Get full text
Journal Article -
607
Electron transport and visible light absorption in a plasmonic photocatalyst based on strontium niobate
Published 2018Get full text
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Journal Article -
608
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Ultrahigh electromechanical response from competing ferroic orders
Published 2024Get full text
Journal Article -
611
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612
Detection and characterisation of a sixth Candida auris clade in Singapore: a genomic and phenotypic study
Published 2024Get full text
Journal Article -
613
Germline breast cancer susceptibility genes, tumor characteristics, and survival
Published 2022Get full text
Journal Article -
614
Artificial neural networks solutions for solving differential equations: A focus and example for flow of viscoelastic fluid with microrotation
Published 2023“…PINN offers an alternative to classical numerical methods. …”
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Article -
615
Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network
Published 2024“…Different random seeds are used to test the robustness of the PINN developed and quantify the associated model uncertainty. …”
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Journal Article -
616
Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool
Published 2024“…This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cancerous breast models. …”
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Modeling, sampling and reconstruction of EEG signals with seizures
Published 2008Get full text
Thesis -
619
Spectroscopic study of emergent electronic phases in transition metal based compounds
Published 2024“…Antiferromagnets with non-relativistic spin splitting are outstanding candidates as the next generation of spintronic materials owing to their electron-volt (eV) scale spin splitting, ultrafast spin dynamics and nearly vanishing stray fields. …”
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Thesis -
620
Physics-Informed Deep Learning for Plasma Etch Optimization
Published 2024“…Future work includes utilizing the PINN model in a Bayesian framework to facilitate recipe optimization for the desired etch profile.…”
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Thesis