KEYNOTE TALKS AT THE COMSOL CONFERENCE 2019 BOSTON

If you would like to see firsthand how experts from industry are using multiphysics modeling to innovate, be sure to attend the keynote talks at the COMSOL Conference 2019 Boston. After each talk, you have the opportunity to connect with the speaker and ask questions about their presentation. The Keynote session also features sneak previews of future versions of COMSOL Multiphysics®.

KEYNOTE SPEAKERS

Svante Littmarck Svante Littmarck COMSOL October 2
About the Speaker

Svante Littmarck is the president and CEO of COMSOL, Inc. He cofounded the COMSOL Group in 1986. In 2004, Littmarck received an honorary doctoral degree from the Royal Institute of Technology (KTH) in Stockholm, Sweden, for the development and international reach of high-quality software for scientific computations through his company COMSOL.

Bjorn Sjodin Bjorn Sjodin COMSOL October 2
About the Speaker

Bjorn Sjodin is the VP of product management at COMSOL. He has been with COMSOL since 1995 and started out as a member of the development team in Stockholm, Sweden. He joined the COMSOL office in Burlington in 2002.

Bjorn Sjodin Kristian E. Jensen COMSOL October 2
About the Speaker

Kristian E. Jensen is part of the optimization group at COMSOL. He studied at the Technical University of Denmark, where he worked on topology optimization and differential constitutive equations for viscoelastic flow. He then focused on the combination of mesh adaptation and topology optimization at Imperial College London.

Danick Gallant Danick Gallant National Research Council of Canada (NRC) October 3
Development of Corrosion-Resistant Automotive Designs Using COMSOL Server Apps and Machine Learning Algorithms

In the automotive manufacturing industry, with the increasing use of very high strength steels, carbon-fiber reinforced polymers and magnesium, aluminum alloys no longer stands alone in the lightweighting materials category. Joining these materials using a variety of techniques such as spot welding (fusion & solid state), riveting, clinching and adhesive bonding generate complex assemblies with impressive lightweighting capabilities, but somewhat challenging to manage from the long-term in-service durability standpoint. This presentation will discuss how numerical simulation of corrosion, in conjunction with machine learning algorithms, can be used to successfully predict the corrosion performance of materials in service environments.

Danick Gallant holds a PhD in physical chemistry from Laval University, with a specialty in spectroelectrochemistry applied to corrosion sciences. Since 2007, he has worked as a research officer at the National Research Council of Canada (NRC). Since the beginning of his career, he has completed more than 100 projects on behalf of private companies and has written nearly 200 technical reports. In 2012, he was appointed to the position of technical leader with the mandate to establish and implement, for the benefit of the industry, NRC's vision for future automotive corrosion challenges. In this context, he initiated numerous industrial activities aimed at developing digital simulation models, machine learning algorithms, and laboratory facilities in order to replicate the on-road service environment.

Sam Zhang Sam Zhang Analog Devices, Inc. October 3
High-Performance MEMS Sensor for Autonomous Vehicles and the Quest for High-Fidelity Simulations

Analog Devices, Inc. (ADI), is making an unprecedented effort to develop highly accurate and reliable inertial measurement units (IMUs) to be the “kernel of navigation” for autonomous driving vehicles. For Level 4 (high automation) and Level 5 (full automation) autonomous vehicles, when the GPS loses signal inside an underground tunnel and vision sensor (camera, lidar, or radar) falters during hazardous weather or blinding conditions (e.g., under direct sunlight and strong interference signal), the IMUs that measure the invincible physics of inertial rotation and acceleration will navigate our cars and our loved ones to safety. Can an inertial sensor be built to behave with uncompromised accuracy and robustness? This presentation will introduce the challenges and development of navigation-grade inertial sensors and the state-of-the-art navigation performance delivered by ADI’s IMUs. Simulation methodology is undoubtedly key to the sensor design's success and will be discussed in the talk.

Sam Zhang is an Analog Devices Fellow and has been the principal designer of Analog Devices, Inc.'s (ADI's) high-performance inertial MEMS products, including the company’s first three-axis accelerometer and first MEMS microphone. To date, Sam has been awarded 25 U.S. patents and his latest groundbreaking contributions have been in the area of ultralow noise accelerometers, reshaping the way condition-based monitoring (CBM) is being addressed today. His efforts are modernizing the CBM industry from single-point monitoring to diagnostic networks and are being applied across such areas as general machinery, aerospace, and autonomous vehicles. Sam joined ADI in 2001 after earning an MS degree in mechanical engineering from George Washington University. He also holds a BS and a BA from Tsinghua University.

Karen-Thomas-Alyea Karen Thomas-Alyea Lockheed Martin October 3
Electrochemical Models for Battery Design

Batteries are an integral component of the energy economy of the future, from electric cars to the internet of things to mobile phones. In particular, batteries are enabling greater use of renewable energy on the electricity grid. Batteries inherently involve multiple physics, coupling ion and electron transport with reaction rates, often affected by temperature, stress, and velocity distributions and often over multiple length scales. We will discuss electrochemical systems modeling of batteries along with some of the common pitfalls in their practical application.

Dr. Karen Thomas-Alyea’s work on batteries has spanned both theoretical derivation of new electrochemical models and practical management of materials development and battery design. After earning her PhD with Prof. John Newman at the University of California, Berkeley, she developed new models to explain experimental behavior and improve cell performance for TIAX LLC’s cathode materials, A123 Systems’ batteries and battery management systems, Samsung Research America’s solid electrolytes, and now Lockheed Martin Advanced Energy Systems’ flow batteries. For several years at A123, she managed the chemistry development team, responsible for cathode, anode, separator, and electrolyte from selection to pilot-scale production.