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<p style="margin-top:0;margin-bottom:0">Carlota,</p>
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<p style="margin-top:0;margin-bottom:0">Who is Emmy Trewartha?</p>
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<p style="margin-top:0;margin-bottom:0">Mary<br>
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<div id="divRplyFwdMsg" dir="ltr"><font style="font-size:11pt" face="Calibri, sans-serif" color="#000000"><b>From:</b> Theory-seminars <theory-seminars-bounces@jlab.org> on behalf of Carlota Andres Casas <carlota@jlab.org><br>
<b>Sent:</b> Saturday, January 12, 2019 12:08 PM<br>
<b>To:</b> theory-seminars@jlab.org<br>
<b>Subject:</b> [Theory-seminars] Seminar next week</font>
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<span style="font-size:10pt; font-family:Arial,Helvetica,sans-serif,serif,EmojiFont">Dear all,</span><span style="font-size:10pt; font-family:Arial,Helvetica,sans-serif,serif,EmojiFont"> </span><br>
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<span style="font-size:10pt; font-family:Arial,Helvetica,sans-serif,serif,EmojiFont">Here is a reminder for next week cake</span><span style="font-size:10pt; font-family:Arial,Helvetica,sans-serif,serif,EmojiFont"> seminar:</span><br>
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<span style="font-size:11pt; font-family:Arial,Helvetica,sans-serif,serif,EmojiFont">-<span style="font-size:11pt">Wednesday, January</span></span><span id="x_x_OBJ_PREFIX_DWT98_com_zimbra_date" style="color:rgb(0,90,149); font-size:14.16px; font-family:monospace,serif,EmojiFont"><span id="x_x_OBJ_PREFIX_DWT99_com_zimbra_date" style="color:black; font-size:11pt; font-family:Arial,Helvetica,sans-serif,serif,EmojiFont"> 16th,
1:00PM</span></span><span style="font-size:11pt; font-family:Arial,Helvetica,sans-serif,serif,EmojiFont">, Room L102</span><br>
<span style="color:rgb(51,51,51); font-size:14.16px; font-family:monospace,serif,EmojiFont"><span style="color:black; font-size:11pt; font-family:Arial,Helvetica,sans-serif,serif,EmojiFont"><span><span style="font-size:11pt">Emmy Trewartha </span></span><span style="font-size:11pt">(JLab</span><span style="font-size:11pt">),
"</span></span></span><span style="font-family:Calibri,Helvetica,sans-serif; font-size:11pt">Machine Learning Action Parameters for Lattice QCD</span><span style="font-size:11pt; font-family:Arial,Helvetica,sans-serif,serif,EmojiFont">"</span><span style="color:rgb(51,51,51); font-size:14.16px; font-family:monospace,serif,EmojiFont"><span style="color:black; font-size:11pt; font-family:Arial,Helvetica,sans-serif,serif,EmojiFont"><span style="font-size:11pt"><br>
</span></span></span><span style="font-size:11pt"></span><span style="font-size:11pt"></span><br>
<span style="font-size:11pt"></span><span style="font-size:11pt"></span><span style="font-size:11pt; font-family:Arial,Helvetica,sans-serif,serif,EmojiFont"><span style="font-size:11pt">A</span>bstract:</span></p>
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<p style="font-family:Calibri,Helvetica,sans-serif; font-size:16px"><span style="font-family:Arial,Helvetica,sans-serif; font-size:10pt; white-space:pre-wrap">High-precision lattice QCD calculations provide important insights into a number of aspects of the
standard model. These calculations are extremely computationally demanding, and current algorithms suffer well-known scaling issues as the continuum limit is approached.</span><br>
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<pre style="white-space:pre-wrap; font-size:16px; margin-top:0px; margin-bottom:0px"><br></pre>
<pre style="white-space:pre-wrap; font-size:16px; margin-top:0px; margin-bottom:0px"><span style="font-size:10pt; font-family:Arial,Helvetica,sans-serif">A number of proposed methods to circumvent this require acting at multiple length scales simultaneously. This naturally results in a parameter matching problem for actions defined at different scales. The applicability of neural networks to this task is investigated, and found to be superior to current approaches. The complex structure of lattice QCD gauge fields is found to require the introduction of custom neural network layers and provide opportunities for further improvement.</span></pre>
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<div><span style="font-size:11pt">Raza, Vincent, Carlota</span></div>
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