BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250603T060901Z UID:DBD4270F-A63C-4169-B8EE-E1B8AE0CB230 DTSTART;TZID=America/Los_Angeles:20250918T120000 DTEND;TZID=America/Los_Angeles:20250918T130000 DESCRIPTION:Speaker: Prof. Rahul Panat\, Carnegie Mellon University\n[regis ter](https://events.vtools.ieee.org/m/481231)\nMeeting Date: Thursday\, Se ptember 18\, 2025\nTime: Checkin via WebEx at 11:50 AM\; Presentation at 1 2:00 noon (PST)\nCost: none\nReservations: events.vtools.ieee.org/m/481231 \n\nSummary: Printed electronics has emerged as a versatile technique for on-demand fabrication of passives\, interconnects\, and active devices. Ou r group has recently extended this technique to create freeform devices in Three-Dimensional space that have opened exciting application areas for t his technology. The manufacturing process for printed electronics\, howeve r\, can suffer from process drifts and does not have an active feedback lo op to fix errors. In this research\, we develop a digital twin for aerosol jet 3D printing\, a jetting-based method to create printed electronics to address this concern. This work\, done in collaboration with an ECE facul ty at CMU\, matches observations with outcomes expected from a physics-bas ed process model\, and continuously updates the hidden variables to minimi ze this error via probabilistic estimation techniques.\nWe then use the ae rosol jet 3D printing to demonstrate devices with extraordinary performanc es that cannot be achieved by any other method. Specifically\, we show 3D electrodes by this technique that enable detection of pathogens and breast cancer biomarkers in 10-12 seconds at femtomolar levels (fastest detectio n yet reported). We also show fully customizable brain-computer interfaces (BCIs) that record electrical signals between neurons at densities of tho usands of electrodes/cm2\, which is 5-10× the current state-of-the-art te chnologies. We also demonstrated the printing of high-capacity Li-ion batt eries and thin flexible robotic skins with embedded sensors.\n\nBio: Prof. Rahul Panat is Professor of Mechanical Engineering at Carnegie Mellon Uni versity (CMU). He is courtesy faculty in the Materials Science and Enginee ring and the Robotics Institute at CMU. He is also the Associate Director of Research at the Manufacturing Futures Institute at CMU\, which is focus ed on bringing the latest advances in digital technologies to advanced man ufacturing.\nProf. Panat completed his PhD in Theoretical and Applied Mech anics from the University of Illinois at Urbana in 2004. He joined Intel C orporation’s packaging R&D unit in Chandler\, AZ\, where he worked for 1 0 years on microprocessor materials and manufacturing R&D – specifically on 3D heterogeneous integration. At Intel\, Dr. Panat led a team of engin eers that developed the fabrication process for world’s first halogen-fr ee IC chip. He returned to academia in 2014 and joined CMU in fall 2017. H is research is focused on microscale 3D printing and its applications to b iomedical engineering\, stretchable electronics\, and Li-ion batteries. He has obtained > $7.5 million in research funding from US Intelligence agen cies\, US Air Force\, US Army\, ARPA-H\, National Institutes of Health (NI H)\, Department of Energy (DOE)\, National Science Foundation (NSF)\, and industry. Prof. Panat is recipient of several awards\, including MRS gold medal\, Mavis Memorial Award\, an award at Intel for his work on the halog en-free chip\, Struminger Teaching Fellowship\, and the Russell V. Trader chair professorship at CMU.\n\nVirtual: https://events.vtools.ieee.org/m/4 87651 LOCATION:Virtual: https://events.vtools.ieee.org/m/487651 ORGANIZER:hichrih@ajiusa.com SEQUENCE:6 SUMMARY:Digital Twins for Printed Electronics for 3D Packaging\, High-perfo rmance Sensors\, and High-capacity Batteries URL;VALUE=URI:https://events.vtools.ieee.org/m/487651 X-ALT-DESC:Description: <br /><p>Speaker: Prof. Rahul Panat\, Carnegie Mell on University<br><a href="https://events.vtools.ieee.org/m/481231"><img sr c="https://r6.ieee.org/scv-eps/wp-content/uploads/sites/58/2020/04/reg.jpg " alt="register" align="right"></a><br><strong>Meeting Date: Thursday\, Se ptember 18\, 2025</strong><br>Time: Checkin via WebEx at 11:50 AM\; Presen tation at 12:00 noon (PST)<br>Cost: none<br>Reservations:&nbsp\;<a href="h ttps://events.vtools.ieee.org/m/481231">events.vtools.ieee.org/m/481231</a ></p>\n<p>&nbsp\;</p>\n<p><strong>Summary:</strong>&nbsp\;Printed electron ics has emerged as a versatile technique for on-demand fabrication of pass ives\, interconnects\, and active devices. Our group has recently extended this technique to create freeform devices in Three-Dimensional space that have opened exciting application areas for this technology. The manufactu ring process for printed electronics\, however\, can suffer from process d rifts and does not have an active feedback loop to fix errors. In this res earch\, we develop a digital twin for aerosol jet 3D printing\, a jetting- based method to create printed electronics to address this concern. This w ork\, done in collaboration with an ECE faculty at CMU\, matches observati ons with outcomes expected from a physics-based process model\, and contin uously updates the hidden variables to minimize this error via probabilist ic estimation techniques.<br>We then use the aerosol jet 3D printing to de monstrate devices with extraordinary performances that cannot be achieved by any other method. Specifically\, we show 3D electrodes by this techniqu e that enable detection of pathogens and breast cancer biomarkers in 10-12 seconds at femtomolar levels (fastest detection yet reported). We also sh ow fully customizable brain-computer interfaces (BCIs) that record electri cal signals between neurons at densities of thousands of electrodes/cm<sup >2</sup>\, which is 5-10&times\; the current state-of-the-art technologies . We also demonstrated the printing of high-capacity Li-ion batteries and thin flexible robotic skins with embedded sensors.</p>\n<p><br><img src="h ttps://r6.ieee.org/scv-eps/wp-content/uploads/sites/58/2025/04/panat.jpg" width="150" align="right"><strong>Bio: Prof. Rahul Panat&nbsp\;</strong>is Professor of Mechanical Engineering at Carnegie Mellon University (CMU). He is courtesy faculty in the Materials Science and Engineering and the Ro botics Institute at CMU. He is also the Associate Director of Research at the Manufacturing Futures Institute at CMU\, which is focused on bringing the latest advances in digital technologies to advanced manufacturing.<br> Prof. Panat completed his PhD in Theoretical and Applied Mechanics from th e University of Illinois at Urbana in 2004. He joined Intel Corporation&rs quo\;s packaging R&amp\;D unit in Chandler\, AZ\, where he worked for 10 y ears on microprocessor materials and manufacturing R&amp\;D &ndash\; speci fically on 3D heterogeneous integration. At Intel\, Dr. Panat led a team o f engineers that developed the fabrication process for world&rsquo\;s firs t halogen-free IC chip. He returned to academia in 2014 and joined CMU in fall 2017. His research is focused on microscale 3D printing and its appli cations to biomedical engineering\, stretchable electronics\, and Li-ion b atteries. He has obtained &gt\; $7.5 million in research funding from US I ntelligence agencies\, US Air Force\, US Army\, ARPA-H\, National Institut es of Health (NIH)\, Department of Energy (DOE)\, National Science Foundat ion (NSF)\, and industry. Prof. Panat is recipient of several awards\, inc luding MRS gold medal\, Mavis Memorial Award\, an award at Intel for his w ork on the halogen-free chip\, Struminger Teaching Fellowship\, and the Ru ssell V. Trader chair professorship at CMU.</p> END:VEVENT END:VCALENDAR