#4 Reliability Measurement and Test for Flexible Electronics
United States
Robert Street
Fellow, Palo Alto Research Center
The presentation will describe techniques practiced at PARC for the fabrication of flexible hybrid electronics. Topics will include printing interconnects, logic circuits and resistors, bonding integrated circuits and integrating sensors of different types. The techniques will be illustrated with various examples of wireless sensor prototypes on flexible substrates, and also development of electronics on textiles.
HYBRID INTEGRATION TECHNIQUES FOR FLEXIBLE ELECTRONICS
A Flexible Electronics Master Class
10:00 am - 12:00 pm
Off
Add to Calendar2020-09-24 10:00:002020-09-24 12:00:00Flexible Electronics Master Class#3: IntegrationThe presentation will describe techniques practiced at PARC for the fabrication of flexible hybrid electronics. Topics will include printing interconnects, logic circuits and resistors, bonding integrated circuits and integrating sensors of different types. The techniques will be illustrated with various examples of wireless sensor prototypes on flexible substrates, and also development of electronics on textiles.
United StatesSEMI.org[email protected]America/Vancouverpublic
America/Vancouver
#4 Reliability Measurement and Test for Flexible Electronics
United States
Robert Street
Fellow, Palo Alto Research Center
The presentation will describe techniques practiced at PARC for the fabrication of flexible hybrid electronics. Topics will include printing interconnects, logic circuits and resistors, bonding integrated circuits and integrating sensors of different types. The techniques will be illustrated with various examples of wireless sensor prototypes on flexible substrates, and also development of electronics on textiles.
HYBRID INTEGRATION TECHNIQUES FOR FLEXIBLE ELECTRONICS
A Flexible Electronics Master Class
10:00 am - 12:00 pm
Off
Add to Calendar2020-09-24 10:00:002020-09-24 12:00:00Flexible Electronics Master Class#3: IntegrationThe presentation will describe techniques practiced at PARC for the fabrication of flexible hybrid electronics. Topics will include printing interconnects, logic circuits and resistors, bonding integrated circuits and integrating sensors of different types. The techniques will be illustrated with various examples of wireless sensor prototypes on flexible substrates, and also development of electronics on textiles.
United StatesSEMI.org[email protected]America/Vancouverpublic
America/Vancouver
printing fine lines, pads and pad pitches with < 100um
logic circuits and resistors
bonding integrated circuits
integrating sensors of different types on flexible substrates without significant performance degradation
pick and place with micron-level accuracy
MASTER CLASS SERIES
This Master Class is 3rd in a series of 4 classes. Classes 1 and 2 are available On Demand. Class 4 will cover Building in Reliability Testing and is now available for registration.
The 1-hour class describes techniques practiced at PARC for the fabrication of flexible hybrid electronics. Topics include printing interconnects, logic circuits and resistors, bonding integrated circuits and integrating sensors of different types. The techniques are illustrated with various examples of wireless sensor prototypes on flexible substrates, and also development of electronics on textiles.
HYBRID INTEGRATION TECHNIQUES FOR FLEXIBLE ELECTRONICS
A Flexible Electronics Master Class
12:00 am - 12:00 am
Off
Add to Calendar Disabled
America/Vancouver
This course, originally recorded on August 18, 2020, describes how machine learning and AI-based approaches to research, development, and production brings advantages to cleanroom processes. AI-based identification of time-varying equipment performance, and the effects of the previous recipe used on the outcome of the current desired methods, are just some of the ways AI can be used to reduce the process variability.
Cornell University has applied AI approaches to optimize lithography and etching processes involved in the development of an RF wake-up NEMS (Nano ElectroMechnical system) switch that needs a well-controlled gap between a moving shuttle and a contact. This presentation highlights that, as well as a decision tree based AI model for predicting lithography outcomes.
The AI work used as the basis for the course has been applied to plasma etching and the combined prediction of lithography and thin-film etching, using CD-SEM imagery for feature extraction and modeling process variables. Additional approaches to train process-modeling CAD tools to result in better process development experience have been developed.
The course provides a useful basis upon which to formulate AI strategies for all thin film manufacturing sites.
This on-demand course, originally recorded on August 18, 2020, describes how machine learning and AI-based approaches to research, development, and production brings advantages to cleanroom processes. AI-based identification of time-varying equipment performance, and the effects of the previous recipe used on the outcome of the current desired methods, are just some of the ways AI can be used to reduce the process variability.
Artificial Intelligence in Thin Film Manufacturing
A Flexible Electronics Master Class
10:00 am - 12:00 pm
Off
Add to Calendar2020-08-18 10:00:002020-08-18 12:00:00Flexible Electronics Master Class#2: AI in MfgThis on-demand course, originally recorded on August 18, 2020, describes how machine learning and AI-based approaches to research, development, and production brings advantages to cleanroom processes. AI-based identification of time-varying equipment performance, and the effects of the previous recipe used on the outcome of the current desired methods, are just some of the ways AI can be used to reduce the process variability.United StatesSEMI.org[email protected]America/Vancouverpublic
America/Vancouver
This course describes how machine learning and AI-based approaches to research, development, and production brings advantages to cleanroom processes. AI-based identification of time-varying equipment performance, and the effects of the previous recipe used on the outcome of the current desired methods, are just some of the ways AI can be used to reduce the process variability.
The team from Cornell has applied AI approaches to optimize lithography and etching processes involved in the development of an RF wake-up NEMS (Nano ElectroMechnical system) switch that needs a well-controlled gap between a moving shuttle and a contact. We report on a decision tree based AI model for predicting lithography outcomes.
This work is being applied to plasma etching and the combined prediction of lithography and thin-film etching, using CD-SEM imagery for feature extraction and modeling process variables. Additional approaches to train process-modeling CAD tools to result in better process development experience are developed.
This course describes how machine learning and AI-based approaches to research, development, and production brings advantages to cleanroom processes. AI-based identification of time-varying equipment performance, and the effects of the previous recipe used on the outcome of the current desired methods, are just some of the ways AI can be used to reduce the process variability.
Originally recorded August, 2020, this course is now offered On-Demand.
Artificial Intelligence in Thin Film Manufacturing
The close-knit FOA Device-Maker-to-Device-Maker information sharing has always been one of the key benefits of the organization. While in-person meetings continue to be a challenge amid the pandemic, the FOA is still looking to facilitate best practice & information sharing virtually. Similar to the first open forum, the second one will be based on a purpose-driven survey and will focus on return-to-work/business continuity during the pandemic.
For information on the open forum, please contact the FOA staff: [email protected]
Fab Owner's Alliance (FOA), a SEMI technology community, is hosting an open forum to discuss how members are handling the return to work for non–essential employees.
This event is by invitation only.
FOA: Return to Work Open Forum
11:00 am - 12:30 pm
Off
Add to Calendar Disabled
America/Los_Angeles
Sensorization will enable next generation of transportation: Autonomous, Connected, Electric, and Shared (ACES) vehicles. Join McKinsey & Company and SEMI Smart Mobility for this webinar detailing the opportunities for sensors in vehicles and smart infrastructure.
McKinsey & Company have identified several major disruptions that will impact the mobility sector. For example, the automotive sensor market for light vehicles is expected to grow from around $30 billion to $60+ billion by 2030 (Mapping the Automotive Software and Electronics Landscape through 2030, McKinsey.com, July 2019). While current cars with L1 automation (and internal combustion engine) have around $300 worth of sensors, a purpose-built robo-taxi (BEV) in 2030 will have around $2,000 worth of sensors. An increase in the adoption of cameras, radars, and LiDARs contributes to large per vehicle sensor value and enables the data collection necessary for advanced features. Additionally, the sensor market related to smart roads/infrastructure is also growing rapidly and creating opportunities for sensor manufacturers and related players.
The MSIG community is a critical partner in contributing to SEMI's Smart Mobility initiative to connect and synchronize the automotive/mobility and semiconductor/sensor supply chains around issues that matter to both. By creating collaborative platforms and bringing communities together, Smart Mobility will streamline the transition to highly-sensorized ACES vehicles and provide business opportunities to MSIG members. One such community is the SEMI’s Global Automotive Advisory Council (GAAC) where auto manufacturers and suppliers meet to address common challenges, share information and align priorities.
This webinar will provide details on market projections, GAAC activities, Smart Mobility initiates, and provide examples of how MSIG members should participate. Together, MSIG and Smart Mobility can help the Transportation Evolution.
United States
8:00 am
-
8:05 am
Moderator: Tim Brosnihan
Executive Director, MSIG
SEMI
Welcome Remarks
8:05 am
-
8:10 am
Bettina Weiss
Chief of Staff and Global Smart Mobility Lead
SEMI
Introduction: Smart Mobility Initiative
8:10 am
-
8:25 am
Andreas Breiter
Partner
McKinsey & Company
Biography
Andreas leads McKinsey’s capital-investment work for advanced industries in North America as well as our Center for Future Mobility on the West Coast. In his advisory work, Andreas serves a broad range of companies in the automotive sector, including car and truck manufacturers and their suppliers, as well as companies in the utilities and renewables space. He helps executives make strategic choices around product development while reducing material costs and optimizing the purchasing function. Andreas helps companies stay ahead of emerging trends, such as autonomous driving, connectivity, electric vehicles, and shared mobility.
Andreas holds a PhD in Operations Management and studied in Germany, France, the USA and Canada.
8:25 am
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8:40 am
Armen Mkrtchyan
Associate Partner
McKinsey & Company
Biography
Armen Mkrtchyan is an Associate Partner in McKinsey’s Los Angeles Office and is a co-leader of McKinsey’s Center for Future Mobility on the West Coast.
At the Firm, Armen’s clients primarily include Automotive passenger and truck manufacturers and their suppliers. He also serves electronics and semiconductor players across the value chain both on operational and strategic topics.
Previously, Armen was the Founding Director of the Entrepreneurship and Product Innovation Center (EPIC) at the American University of Armenia and served as an Assistant Professor in the College of Engineering.
Armen has a PhD in Aeronautics and Astronautics from MIT and has worked on the development of various autonomous air and ground vehicles. He received his Bachelor’s degree in Electrical Engineering from the University of North Dakota and has multiple publications in the area of control systems, test and simulation, product development optimization.
Smart Mobility: Next Generation Transportation Enabled by Sensorization
8:00 am - 9:00 am
Off
Add to Calendar2020-08-19 08:00:002020-08-19 09:00:00Smart Mobility: Next Generation Transportation Enabled by SensorizationUnited StatesSEMI.org[email protected]America/Los_Angelespublic
Future mobility disruptions include the development of autonomous and connected vehicles, electric powertrains, and shared mobility solutions. These trends will shape and impact the semiconductor design value chain:
The development of autonomous vehicles will impact chip design, verification, and IP through demand for high-performance computing, connectivity, functional safety, security, and reliability.
Software-rich automotive solution-specific EDA products will serve the needs of automotive OEMs and Tier 1 suppliers to accelerate R&D, verification, and testing.
Partnerships in the semiconductor value chain will play an important role to make these mobility disruptions reality. Suppliers in the design ecosystem could partner on system architecture, design, development, and verification
Join McKinsey & Company and SEMI's Electronic System Design Alliance at this webinar to learn about emerging new opportunities in Design and IP being driven by the rapid growth and disruptions in the global automotive markets and supply chains.
United States
10:00 am
-
10:05 am
Moderator: Bob Smith
Executive Director, ESDA
SEMI
Welcome Remarks
10:05 am
-
10:10 am
Bettina Weiss
Chief of Staff and Global Smart Mobility Lead
SEMI
Introduction: Smart Mobility Initiative
10:10 am
-
10:25 am
Andreas Breiter
Partner
McKinsey & Company
Biography
Andreas leads McKinsey’s capital-investment work for advanced industries in North America as well as our Center for Future Mobility on the West Coast. In his advisory work, Andreas serves a broad range of companies in the automotive sector, including car and truck manufacturers and their suppliers, as well as companies in the utilities and renewables space. He helps executives make strategic choices around product development while reducing material costs and optimizing the purchasing function. Andreas helps companies stay ahead of emerging trends, such as autonomous driving, connectivity, electric vehicles, and shared mobility.
Andreas holds a PhD in Operations Management and studied in Germany, France, the USA and Canada.
10:25 am
-
10:40 am
Armen Mkrtchyan
Associate Partner
McKinsey & Company
Biography
Armen Mkrtchyan is an Associate Partner in McKinsey’s Los Angeles Office and is a co-leader of McKinsey’s Center for Future Mobility on the West Coast.
At the Firm, Armen’s clients primarily include Automotive passenger and truck manufacturers and their suppliers. He also serves electronics and semiconductor players across the value chain both on operational and strategic topics.
Previously, Armen was the Founding Director of the Entrepreneurship and Product Innovation Center (EPIC) at the American University of Armenia and served as an Assistant Professor in the College of Engineering.
Armen has a PhD in Aeronautics and Astronautics from MIT and has worked on the development of various autonomous air and ground vehicles. He received his Bachelor’s degree in Electrical Engineering from the University of North Dakota and has multiple publications in the area of control systems, test and simulation, product development optimization.
As a testament to the strategic importance of our industry, the fabs continue to produce. Many parts of our industry supply chain became officially designated as essential businesses.
SEMICON West Exhibitors are taking the opportunity to position their organizations as lead solution providers as the industry transforms once again.
Discover how simple it is to exhibit in the digital world. Leverage a flexible virtual space to customize your exhibitor booth, offer on-demand content, and provide chat forums, for optimal prospect engagement. You'll get:
Convenience—Manage From Anywhere
Easy Lead Generation Solutions
Broad Attendee Reach
A Unique Way to Showcase Your Company
Visit our Exhibitor Directory to see who will exhibit at Virtual SEMICON West 2020.
[SMART MedTech Virtual Workshop 4] Automation, Augmentation, and AI
Registration
Registration Includes:
Live access to four (4) webinars
Post-webinar access to recordings and presentations
Member Price: $199
Non-Member Price: $399
Non-Member Price for Government, Military, and Academia: $249
(Contact Michelle Fabiano at [email protected] for discount code. Must have a valid .gov, .mil or .edu email address)
Recent developments in both biological data acquisition and analysis provide new opportunities for data driven modeling of the health state of an organism. In this talk we explore geometric ideas and manifold learning methods for analyzing such data sets. In one example we examine the evolution of temperature patterns generated by telemetry data collected from healthy and infected Collaborative Cross mice challenged with Salmonella typhimurium. We visualize the interruption in circadian patterns and characterize the severity of infection within three days after exposure. This work was conducted in collaboration with David Threadgill and Helena Andrews-Polymenis of Texas A&M University.
10:30 am
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10:55 am
Kevin Zhao
Co-Founder & CTO, Harmonize Health
Predictive & Prescriptive Analytics for Digital Health
A key to making digital care delivery easier is to augment biometric monitoring with predictive & prescriptive analytics. Optimized algorithms can efficiently tie together fragmented data sources, such as wearables & medical records. More importantly, they lay the foundation for intuitive workflows that guide clinical staff through effective triage & medical interventions.
10:55 am
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11:20 am
Mary Clare McCorry, PhD
Director of Technology and Process Development, ARMI | BioFabUSA
Bringing Sensors and Automation to Manufacturing of Replacement Tissue and Organs
The tissue engineered medical product (TEMP) industry has been held back historically by a lack of scalability, challenges with product consistency, and high final product costs. Over the last three decades, cutting edge science in the space has continued to advance while manufacturing tools and equipment specific to the needs of the field has lagged behind in development. To propel TEMP technologies into the commercial market, automation and sensor technologies need to be developed and implemented to make practical the scalable, consistent, cost-effective manufacturing of TEMPs. BioFabUSA is program of the Advanced Regenerative Manufacturing Institute (ARMI), an industry-led, member-driven, non-profit organization funded by the department of defense dedicated manufacturing of engineered tissues and tissue-related technologies. ARMI | BioFabUSA coordinates technology development projects that crosscut manufacturing areas in raw materials, automation, equipment, software, sensors and measurement tools, data management, preservation, processes, quality systems, and other pertinent elements of tissue engineered medical product manufacturing. With the combined effort of the ARMI membership, ARMI drives impactful advanced research and development activities that enable the development of a scalable, modular, automated and closed platform for the fabrication of TEMPs. This platform relies heavily on the integration of sensors and automation necessary to advance manufacturing technology development and demonstration, paving the way for compressed timelines for process design and development, as well as commercial, GMP-compliant manufacturing.
11:20 am
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11:45 am
Andreas Caduff
Industry Advisory Board Member, ETH Zürich
Using Digital Biomarkers and Diagnostics Towards More Holistic Health Mapping
With an ongoing shift from managing disease towards the inclusion of maintaining health the world has seen the rise of increasingly sophisticated body monitoring and analytics. These tools are aiming to empower the individual to better navigate own health. They are also seeking to generate powerful insights towards the detection of subclinical symptoms or processes via existing and novel digital biomarkers. In that context a topic that is receiving increasing interest is the modulation of human physiology around an individual ‘baseline’ in everyday life and the dynamic around that. Today, there is more and more fully contextualised and truly long-term physiological data becoming available that allows deeper insights into the response of the human body to our behaviour, exposed environment or health events per se. This provides real life data in an unprecedented way. Insights emerging from that are fascinating, sometimes surprising and increasingly instructional.
This talk will provide an overview of where we have come from, what we are currently at and what’s unfolding in the convergence of different domains towards such more integrated and holistic health mapping and new opportunities in real word evidence driven clinical trials.
