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DTSTART:20260308T030000
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DTSTART:20251102T010000
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DTSTAMP:20260205T230829Z
UID:4402D8E4-1B5A-4DF0-BC87-692CB7237A7C
DTSTART;TZID=America/New_York:20260205T120000
DTEND;TZID=America/New_York:20260205T130000
DESCRIPTION:Abstract:\n\nThe detection of different gases is of paramount i
 mportance for testing the quality of the air in our cities as well as for 
 finding potential diseases. The advancement of chemical sensing technologi
 es depends on the development of materials capable of high sensitivity and
  reusability. Among these\, different materials such as graphene or Fe₃O
 ₄ nanoparticles have emerged as promising candidates due to their distin
 ctive electronic and magnetic properties\, particularly in response to gas
  adsorption events. However\, optimizing these sensors requires a deep und
 erstanding of gas-surface interactions at the atomic scale. This study emp
 loys Density Functional Theory (DFT) simulations to investigate the adsorp
 tion of key gas molecules for example NO₂\, H₂O and NH₃3 on graphene
  and CO\, N₂\, O₂ or CO₂ on Fe₃O₄ (111) surfaces. The role of di
 fferent defects is systematically assessed to understand their influence o
 n adsorption strength\, electronic structure\, and/or magnetization\, impr
 oving the understanding of the sensing mechanism of graphene or Fe₃O₄-
 based devices.\n\nCo-sponsored by: IEEE Nanotechnology Council\n\nSpeaker(
 s): \, Dr Aguinsky\n\nAgenda: \nDate: 29 January 2026\nTime: 17:00 Madrid/
 Central European Time (16:00 UK\, 12:00 New York\, 08:00 California)\nDura
 tion: 1 Hour\n\nZoom link:\nhttps://zoom.us/j/94986284071?pwd=N6gC2ZVTC9B9
 bWPypGkyGEZwKziqd5.1\n\nMeeting ID 949 8628 4071\nPasscode 015855\n\nVirtu
 al: https://events.vtools.ieee.org/m/537263
LOCATION:Virtual: https://events.vtools.ieee.org/m/537263
ORGANIZER:bettermann@ieee.org
SEQUENCE:6
SUMMARY:First-Principles Simulations of Molecular Adsorption on Surfaces fo
 r Gas Sensing Applications
URL;VALUE=URI:https://events.vtools.ieee.org/m/537263
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;div&gt;Abstract:&lt;/div&gt;\n&lt;div&gt;&lt;b
 r&gt;The detection of different gases is of paramount importance for testing 
 the quality of the air in our cities as well as for finding potential dise
 ases. The advancement of chemical sensing technologies depends on the deve
 lopment of materials capable of high sensitivity and reusability. Among th
 ese\, different materials such as graphene or Fe₃O₄ nanoparticles have
  emerged as promising candidates due to their distinctive electronic and m
 agnetic properties\, particularly in response to gas adsorption events. Ho
 wever\, optimizing these sensors requires a deep understanding of gas-surf
 ace interactions at the atomic scale. This study employs Density Functiona
 l Theory (DFT)&amp;nbsp\;&lt;span class=&quot;il&quot;&gt;simulations&lt;/span&gt; to investigate th
 e adsorption of key gas molecules for example NO₂\, H₂O and NH₃3 on 
 graphene and CO\, N₂\, O₂ or CO₂ on Fe₃O₄ (111) surfaces. The ro
 le of different defects is systematically assessed to understand their inf
 luence on adsorption strength\, electronic structure\, and/or magnetizatio
 n\, improving the understanding of the sensing mechanism of graphene or Fe
 ₃O₄-based devices.&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;section&gt;\n&lt;div&gt;Date
 : 29 January 2026&lt;/div&gt;\n&lt;div&gt;Time: 17:00 Madrid/Central European Time (16
 :00 UK\, 12:00 New York\, 08:00 California)&lt;/div&gt;\n&lt;div&gt;Duration: 1 Hour&lt;/
 div&gt;\n&lt;p&gt;Zoom link:&amp;nbsp\;&lt;br&gt;https://zoom.us/j/94986284071?pwd=N6gC2ZVTC9
 B9bWPypGkyGEZwKziqd5.1&lt;br&gt;&amp;nbsp\;&lt;br&gt;Meeting ID 949 8628 4071&lt;br&gt;Passcode 
 015855&lt;/p&gt;\n&lt;/section&gt;\n&lt;div&gt;\n&lt;div class=&quot;gmail_default&quot;&gt;\n&lt;div&gt;\n&lt;div cl
 ass=&quot;gmail_default&quot;&gt;\n&lt;div&gt;\n&lt;div class=&quot;gmail_default&quot;&gt;\n&lt;div&gt;\n&lt;div&gt;\n&lt;p
 &gt;&amp;nbsp\;&lt;/p&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;/di
 v&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&amp;nbsp\;&lt;/p&gt;
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