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<p class="MsoNormal"><span style="font-size:11.0pt;color:#212121">Dear all,</span><span style="color:#212121"><o:p></o:p></span></p>
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<b><span style="font-size:18.0pt;color:#215F9A">Computational Research in Boston and Beyond (CRIBB) seminar</span></b><span style="color:#212121"><o:p></o:p></span></p>
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<b><span style="font-size:11.0pt;color:#212121">Date</span></b><span style="font-size:11.0pt;color:#212121">: Friday, March 7, 2025</span><span style="color:#212121"><o:p></o:p></span></p>
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<b><span style="font-size:11.0pt;color:#212121">Time</span></b><span style="font-size:11.0pt;color:#212121">:
<span style="background:yellow;mso-highlight:yellow">12:00 PM – 1:00 PM</span></span><span style="color:#212121"><o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:11.0pt;color:#212121">Zoom</span></b><span style="font-size:11.0pt;color:#212121">:<span class="apple-converted-space"> </span><a href="https://mit.zoom.us/j/91933017072" title="https://mit.zoom.us/j/91933017072"><span style="font-size:12.0pt;color:#96607D">https://mit.zoom.us/j/91933017072</span></a></span><span style="color:#212121"><o:p></o:p></span></p>
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<b><span style="font-size:11.0pt;color:#212121">Speaker</span></b><span style="font-size:11.0pt;color:#212121">: Elyssa Hofgard (MIT)</span><span style="color:#212121"><o:p></o:p></span></p>
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<b><span style="font-size:11.0pt;color:#212121">Title</span></b><span style="font-size:11.0pt;color:#212121">: Using E(3)-Equivariant Neural Networks (ENNs) to Uncover Symmetry-Implied Missing Information</span><span style="color:#212121"><o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:11.0pt;color:#212121">Abstract</span></b><span style="font-size:11.0pt;color:#212121">:<span class="apple-converted-space"> </span></span><span style="color:#212121"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:#212121">We demonstrate how E(3)-Equivariant Neural Networks (ENNs) can detect symmetry breaking in physical data and reveal hidden symmetry-implied information. Symmetry breaking, whether spontaneous
(as in crystalline phase transitions) or induced by external forces, plays a crucial role in our understanding of physical systems. We show that an external input parameter to a fully equivariant model can be used to break symmetry in a physically interpretable
way. We apply our approach to altermagnets, a new class of magnetic materials, in order to learn magnetic multipoles.</span><span style="color:#212121"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;color:#212121">For information about the<span class="apple-converted-space"> </span><b>Computational Research in Boston and Beyond (CRIBB) seminar</b>, visit...</span><span class="apple-converted-space"><span style="color:#212121"> </span></span><span style="font-size:11.0pt;color:#212121"><a href="https://math.mit.edu/crib/" title="https://math.mit.edu/crib/"><span style="font-size:12.0pt;color:#96607D">https://math.mit.edu/crib/</span></a></span><span style="color:#212121"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;color:#212121">Best regards,</span><span style="color:#212121"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none">---------<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none">Minjiang (Ian) Wang, he/him<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none">Faculty Support<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black;mso-ligatures:none">Department of Mathematics, MIT<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none">Phone: (617)258-6283<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none">Office: 2-372<o:p></o:p></span></p>
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