adding refs
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@@ -3924,7 +3924,7 @@ and output layer to any given precision.
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<div class="panel panel-default">
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<div class="panel-body">
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<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
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<p><a href="https://www.duo.uio.no/handle/10852/79212" target="_self">Using Deep Reinforcement Learning for Active Flow Control</a>, by Marius Holm</p>
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<p><a href="https://link.springer.com/article/10.1007/s10915-022-01939-z" target="_self">Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next</a>, by Cuomo et al</p>
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@@ -3787,9 +3787,9 @@ and output layer to any given precision.
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<div class="alert alert-block alert-block alert-text-normal">
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<b>Master thesis on applying deep learning to problems in mechanics</b>
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<b>Physics informed neural networks</b>
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<p>
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<p><a href="https://www.duo.uio.no/handle/10852/79212" target="_blank">Using Deep Reinforcement Learning for Active Flow Control</a>, by Marius Holm</p>
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<p><a href="https://link.springer.com/article/10.1007/s10915-022-01939-z" target="_blank">Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next</a>, by Cuomo et al</p>
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@@ -3811,9 +3811,9 @@ and output layer to any given precision.
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<div class="alert alert-block alert-block alert-text-normal">
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<b>Master thesis on applying deep learning to problems in mechanics</b>
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<b>Physics informed neural networks</b>
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<p>
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<p><a href="https://www.duo.uio.no/handle/10852/79212" target="_blank">Using Deep Reinforcement Learning for Active Flow Control</a>, by Marius Holm</p>
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<p><a href="https://link.springer.com/article/10.1007/s10915-022-01939-z" target="_blank">Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next</a>, by Cuomo et al</p>
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</div>
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@@ -3888,9 +3888,9 @@ and output layer to any given precision.
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<div class="alert alert-block alert-block alert-text-normal">
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<b>Master thesis on applying deep learning to problems in mechanics</b>
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<b>Physics informed neural networks</b>
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<p>
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<p><a href="https://www.duo.uio.no/handle/10852/79212" target="_blank">Using Deep Reinforcement Learning for Active Flow Control</a>, by Marius Holm</p>
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<p><a href="https://link.springer.com/article/10.1007/s10915-022-01939-z" target="_blank">Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next</a>, by Cuomo et al</p>
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@@ -2674,8 +2674,8 @@ and output layer to any given precision.
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"An Introduction to Neural Network Methods for Differential Equations":"https://www.springer.com/gp/book/9789401798150", by Yadav and Kumar.
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!eblock
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!bblock Master thesis on applying deep learning to problems in mechanics
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"Using Deep Reinforcement Learning for Active Flow Control":"https://www.duo.uio.no/handle/10852/79212", by Marius Holm
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!bblock Physics informed neural networks
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"Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next":"https://link.springer.com/article/10.1007/s10915-022-01939-z", by Cuomo et al
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!eblock
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