Markus Schilling
Markus Schilling
Technische Universität München
The Electrochemical Society hosted “Cobalt Dissolution from PtxCo/C Cathode Catalysts in PEM fuel cells: In Situ Quantification and Removal Methods,” a webinar by Markus Schilling (Technische Universität München), on April 15, 2026. A live Question and Answer session followed. Some questions not addressed during the broadcast are answered below.
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Proposals due on May 22, 2026Are you advancing research in green energy technologies? There’s still time to apply for the ECS Toyota Young Investigator Fellowship as the proposal deadline has been extended to May 22, 2026.
Offered through a collaboration between The Electrochemical Society and Toyota Research Institute of North America, this highly regarded fellowship provides a minimum of $50,000 to support innovative work in areas such as batteries, fuel cells, hydrogen, and other sustainable energy solutions. The program is open to applicants based in Canada, Europe, Mexico, and the United States.
Markus Schilling
Markus Schilling
Technische Universität München
Date: April 15, 2026
Time: 1000–1100h ET
Recognize the outstanding individuals who strengthen and inspire our community. Award winners are announced in November 2026.
ECS Awards honor excellence in research, education, leadership, service, and academic achievement. They recognize dedication and impact, increase visibility, and inspire continued excellence. Awards also support career advancement for professionals and expand academic and professional opportunities for students. Most importantly, they help foster a culture that values achievement, leadership, and service. (more…)
Noël Hallemans
Noël Hallemans
University of Oxford
Date: January 21, 2026
Time: 1000–1100h ET
The Electrochemical Society hosted “Physics-based battery model parametrization from impedance data,” a live webinar by Noël Hallemans (University of Oxford), on January 21, 2026. A live Question and Answer session followed. Answers to some of the questions not addressed during the broadcast follow.
Replay Webinar
Prof. Nagappan Ramaswamy
Prof. Nagappan Ramaswamy
Indian Institute of Technology Bombay
Date: February 18, 2026
Time: 1000-1100h ET
Heavy-Duty Vehicles (HDV) powered by hydrogen-based Proton Exchange Membrane (PEM) fuel cells offer a cleaner alternative to the diesel-powered internal combustions engine vehicles for decarbonization of long-haul transportation sectors. The development path of sub-components for HDV fuel cell applications is guided by the Total Cost of Ownership (TCO) analysis of the truck. TCO analysis suggests that the cost of the hydrogen fuel consumed over the lifetime of the HDV is more dominant due to the operation of the trucks for longer mileage (~a million miles) than the fuel cell stack Capital Expense (CapEx). Commercial HDV applications consume more H2 fuel and demand higher durability and hence the TCO of the vehicle is largely related to the fuel cell efficiency and durability of catalysts. This article is written to bridge the gap between the industrial requirements and academic activity for advanced cathode catalysts with an emphasis on durability. From a materials perspective, the underlying nature of the carbon support, Pt-alloy crystal structure, stability of the alloying element, cathode ionomer volume fraction, and catalyst-ionomer interface play a critical role in improving performance and durability. We provide our perspective on four major approaches, namely, mesoporous carbon supports, ordered PtCo intermetallic alloys, thrifting ionomer volume fraction, and shell-protection strategies that are currently being pursued. While each approach has its merits and demerits, their key developmental needs for the future are highlighted.
Noël Hallemans
Noël Hallemans
University of Oxford
Date: January 21, 2026
Time: 1000–1100h ET
Electrochemical impedance spectroscopy (EIS) offers rich insights into the physical processes within batteries—but how can these measurements directly inform physics-based models? Recent work presented in this webinar demonstrates how impedance data can be used to extract grouped parameters for physics-based models such as the Doyle-Fuller-Newman (DFN) model or the reduced-order single particle model with electrolyte (SPMe). (more…)
Jian-Sian Li
Jian-Sian Li
Micron Technology
University of Florida
Date: November 19, 2025
Time: 1300–1400h ET
