BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20241008T173234Z UID:DFD52A80-273D-4E41-A7F7-18A70B6D5A4E DTSTART;TZID=America/Los_Angeles:20241002T183000 DTEND;TZID=America/Los_Angeles:20241002T200000 DESCRIPTION:Abstract\n\nTropical butterflies are a bright display of photon ic engineering in nature. Their iridescence originates from the interferen ce and diffraction of light within tree-like nanostructures on their scale s\, inspiring technological innovations in solar cells\, displays\, fabric s\, and other areas. We are inspired by the design principles of these pho tonic nanostructures to boost performance of gas sensors because existing gas sensors often degrade their performance in complex environments. Thus\ , new sensing concepts are required to improve sensor selectivity and stab ility.\n\nIn this lecture\, we analyze capabilities of natural photonic na nostructures as sensors for detection of different gases and the origins o f these capabilities. Our acquired knowledge from studies of these natural nanostructures allows us to develop our design rules to fabricate sensing nanostructures for needed gas selectivity for numerous gas monitoring sce narios at room and high temperatures for industrial\, environmental\, home land protection\, medical\, and other applications.\n\nOur design rules fo r selective gas sensors bring a multivariable perspective for sensing\, wh ere selectivity is achieved within a single nanostructured sensing unit\, rather than from an array of separate sensors. By utilizing individual nan ostructured sensors rather than sensor arrays we also improved sensor stab ility by eliminating independent aging factors in separate sensors in thei r arrays. Our existing and new machine learning tools further advanced our sensor designs and performance in multi-gas detection.\n\nThese new multi -gas sensing capabilities provide an affordable technical solution for mon itoring of emissions of greenhouse and other gases in urban and industrial environments. Such technical solution is mathematically not feasible usin g conventional single-output sensor designs. The societal impact of these results is in opening opportunities for more proactive developments of sev eral types of multivariable gas sensors in diverse emerging monitoring app lications\, ranging from urban pollution and industrial safety to medical diagnostics and homeland protection.\n\nSpeaker(s): Dr. Radislav A. Potyra ilo \, \n\nAgenda: \n6:30 – 7:00 PM Registration & Networking\n\n7:00 – 7:45 PM Invited Talk\n\n7:45 – 8:00 PM Questions & Answers\n\nRoom: Conference Center (ECC1)\, Bldg: Building E\, 2900 Semiconductor Drive\, T exas Instruments\, Santa Clara\, California\, United States\, 95051\, Virt ual: https://events.vtools.ieee.org/m/435029 LOCATION:Room: Conference Center (ECC1)\, Bldg: Building E\, 2900 Semicondu ctor Drive\, Texas Instruments\, Santa Clara\, California\, United States\ , 95051\, Virtual: https://events.vtools.ieee.org/m/435029 ORGANIZER:jeronimo.segovia@ieee.org SEQUENCE:67 SUMMARY:Exploring natural and bio-inspired photonic nanostructures as gas s ensors URL;VALUE=URI:https://events.vtools.ieee.org/m/435029 X-ALT-DESC:Description: <br /><p style="text-align: justify\;"><strong>Abst ract</strong></p>\n<p style="text-align: justify\;">Tropical butterflies a re a bright display of photonic engineering in nature. Their iridescence o riginates from the interference and diffraction of light within tree-like nanostructures on their scales\, inspiring technological innovations in so lar cells\, displays\, fabrics\, and other areas. We are inspired by the d esign principles of these photonic nanostructures to boost performance of gas sensors because existing gas sensors often degrade their performance i n complex environments. Thus\, new sensing concepts are required to improv e sensor selectivity and stability.&nbsp\;</p>\n<p style="text-align: just ify\;">In this lecture\, we analyze capabilities of natural photonic nanos tructures as sensors for detection of different gases and the origins of t hese capabilities. Our acquired knowledge from studies of these natural na nostructures allows us to develop our design rules to fabricate sensing na nostructures for needed gas selectivity for numerous gas monitoring scenar ios at room and high temperatures for industrial\, environmental\, homelan d protection\, medical\, and other applications.&nbsp\;</p>\n<p style="tex t-align: justify\;">Our design rules for selective gas sensors bring a mul tivariable perspective for sensing\, where selectivity is achieved within a single nanostructured sensing unit\, rather than from an array of separa te sensors. &nbsp\;By utilizing individual nanostructured sensors rather t han sensor arrays we also improved sensor stability by eliminating indepen dent aging factors in separate sensors in their arrays. &nbsp\;Our existin g and new machine learning tools further advanced our sensor designs and p erformance in multi-gas detection.&nbsp\;</p>\n<p style="text-align: justi fy\;">These new multi-gas sensing capabilities provide an affordable techn ical solution for monitoring of emissions of greenhouse and other gases in urban and industrial environments. Such technical solution is mathematica lly not feasible using conventional single-output sensor designs. The soci etal impact of these results is in opening opportunities for more proactiv e developments of several types of multivariable gas sensors in diverse em erging monitoring applications\, ranging from urban pollution and industri al safety to medical diagnostics and homeland protection. &nbsp\;</p><br / ><br />Agenda: <br /><p data-key="32"><span data-key="33"><strong data-sla te-leaf="true">6:30 &ndash\; 7:00 PM Registration &amp\; Networking</stron g></span></p>\n<p data-key="34"><span data-key="35"><strong data-slate-lea f="true">7:00 &ndash\; 7:45 PM Invited Talk</strong></span></p>\n<p data-k ey="36" data-slate-fragment="JTdCJTIyb2JqZWN0JTIyJTNBJTIyZG9jdW1lbnQlMjIlM kMlMjJkYXRhJTIyJTNBJTdCJTdEJTJDJTIybm9kZXMlMjIlM0ElNUIlN0IlMjJvYmplY3QlMjI lM0ElMjJibG9jayUyMiUyQyUyMnR5cGUlMjIlM0ElMjJwYXJhZ3JhcGglMjIlMkMlMjJkYXRhJ TIyJTNBJTdCJTIyY2xhc3NOYW1lJTIyJTNBbnVsbCU3RCUyQyUyMm5vZGVzJTIyJTNBJTVCJTd CJTIyb2JqZWN0JTIyJTNBJTIydGV4dCUyMiUyQyUyMmxlYXZlcyUyMiUzQSU1QiU3QiUyMm9ia mVjdCUyMiUzQSUyMmxlYWYlMjIlMkMlMjJ0ZXh0JTIyJTNBJTIyNiUzQTMwJTIwJUUyJTgwJTk zJTIwNiUzQTQ1JTIwUE0lMjAlMjBXZWJleCUyMFJlZ2lzdHJhdGlvbiUyMiUyQyUyMm1hcmtzJ TIyJTNBJTVCJTdCJTIyb2JqZWN0JTIyJTNBJTIybWFyayUyMiUyQyUyMnR5cGUlMjIlM0ElMjJ ib2xkJTIyJTJDJTIyZGF0YSUyMiUzQSU3QiU3RCU3RCU1RCU3RCU1RCU3RCU1RCU3RCUyQyU3Q iUyMm9iamVjdCUyMiUzQSUyMmJsb2NrJTIyJTJDJTIydHlwZSUyMiUzQSUyMnBhcmFncmFwaCU yMiUyQyUyMmRhdGElMjIlM0ElN0IlMjJjbGFzc05hbWUlMjIlM0FudWxsJTdEJTJDJTIybm9kZ XMlMjIlM0ElNUIlN0IlMjJvYmplY3QlMjIlM0ElMjJ0ZXh0JTIyJTJDJTIybGVhdmVzJTIyJTN BJTVCJTdCJTIyb2JqZWN0JTIyJTNBJTIybGVhZiUyMiUyQyUyMnRleHQlMjIlM0ElMjI2JTNBN DUlMjAlRTIlODAlOTMlMjA3JTNBMzAlMjBQTSUyMCUyMEludml0ZWQlMjBUYWxrJTIyJTJDJTI ybWFya3MlMjIlM0ElNUIlN0IlMjJvYmplY3QlMjIlM0ElMjJtYXJrJTIyJTJDJTIydHlwZSUyM iUzQSUyMmJvbGQlMjIlMkMlMjJkYXRhJTIyJTNBJTdCJTdEJTdEJTVEJTdEJTVEJTdEJTVEJTd EJTJDJTdCJTIyb2JqZWN0JTIyJTNBJTIyYmxvY2slMjIlMkMlMjJ0eXBlJTIyJTNBJTIycGFyY WdyYXBoJTIyJTJDJTIyZGF0YSUyMiUzQSU3QiUyMmNsYXNzTmFtZSUyMiUzQW51bGwlN0QlMkM lMjJub2RlcyUyMiUzQSU1QiU3QiUyMm9iamVjdCUyMiUzQSUyMnRleHQlMjIlMkMlMjJsZWF2Z XMlMjIlM0ElNUIlN0IlMjJvYmplY3QlMjIlM0ElMjJsZWFmJTIyJTJDJTIydGV4dCUyMiUzQSU yMjclM0EzMCUyMCVFMiU4MCU5MyUyMDclM0E0NSUyMFBNJTIwJTIwUXVlc3Rpb25zJTIwJTI2J TIwQW5zd2VycyUyMiUyQyUyMm1hcmtzJTIyJTNBJTVCJTdCJTIyb2JqZWN0JTIyJTNBJTIybWF yayUyMiUyQyUyMnR5cGUlMjIlM0ElMjJib2xkJTIyJTJDJTIyZGF0YSUyMiUzQSU3QiU3RCU3R CU1RCU3RCU1RCU3RCU1RCU3RCU1RCU3RA=="><span data-key="37"><strong data-slat e-leaf="true">7:45 &ndash\; 8:00 PM Questions &amp\; Answers</strong></spa n></p> END:VEVENT END:VCALENDAR