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VERSION:2.0
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PRODID:-//Virginia Tech//VTCalendar//EN
BEGIN:VEVENT
DTSTAMP:20250220T223000Z
UID:1739809347332@thor.lawrence.edu
CATEGORIES:Speakers
DTSTART:20250220T223000Z
DTEND:20250220T233000Z
SUMMARY:Senior Experience Seminar Series in Physics 2025
CONTACT:
 Matthew Stoneking
ORGANIZER;CN="Physics Department":
 about:blank
DESCRIPTION:
 Dylan Delgado\n
 "Deconvolving NMR spectra using a neural network"\n
 \n
 NMR Spectroscopy is an important tool in materials 
 science for analyzing the structure and composition 
 of materials. An important process in this analysis 
 is the deconvolution of the spectra into individual 
 peaks with characteristic amplitudes and linewidths. 
 This process is usually performed by experts who 
 are experienced in NMR, but this is tedious and 
 time consuming. We present a method of generating 
 synthetic NMR spectra, specifically made for training 
 a machine learning model, with the capability 
 of making a million synthetic spectra in minutes. 
 Additionally, we implemented a deep neural network 
 incorporating modern techniques such as Long Short-Term 
 Memory (LSTM) layers to demonstrate feature extraction 
 on the synthetic spectra.\n
 \n
 Hilirie McLaughlin\n
 "Implementing 3D Super-Resolution Microscopy: 
 Bringing Advanced Biomolecular Imaging to Our 
 Lab"\n
 \n
 Super-resolution microscopy has revolutionized 
 our ability to visualize biological structures 
 on the nanoscale by overcoming the diffraction 
 limit of light. This talk explores the implementation 
 of three-dimensional (3D) super-resolution imaging 
 in an undergraduate laboratory using a cylindrical 
 lens to characterize the axial (z) localization 
 of fluorescent molecules. This accessible approach 
 can bring cutting-edge imaging into the classroom, 
 allowing students to explore the nanoscale world 
 in three dimensions.\n\n

LOCATION:YoungChild Hall 121
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