2018 Class of Fellows

Source: https://www.electrochem.org/234/fellows

Venkat R. Subramanian received his Bachelor of Technology degree in chemical and electrochemical engineering from the Central Electrochemical Research Institute, Karaikudi, India, in 1997 and his PhD degree in chemical engineering from the University of South Carolina, Columbia, SC in 2001. He is currently a Washington Research Foundation Innovation Professor of Chemical Engineering & Clean Energy and an adjunct professor of Electrical Engineering, at the University of Washington, Seattle. He holds a joint appointment at Pacific Northwest National Laboratory as a Chief Scientist.

His research interests include multiscale simulation of electrochemical systems, electrochemical engineering, energy-systems engineering, real time state-of-charge and state-of-health estimation of lithium-ion batteries, model-based battery management systems for electric transportation, and renewable microgrids and application of nonlinear model predictive control methods.

Subramanian’s group has the fastest algorithm reported in the literature for the simulation of battery models.

Subramanian is a past elected chair of the IE&EE division of The Electrochemical Society, received the student research award from the ECS battery division and the ECS IE&EE division student achievement award for his doctoral research. He was awarded the Dean’s award for excellence in graduate study in 2001 for his doctoral research. He acknowledges the influence of his undergraduate and graduate advisors/teachers, his past and current students, and many researchers/well-wishers in the ECS community.

September 13, 2018

ECS Data Science Showcase (2018)

ECS Data Science Showcase

Source:

https://www.electrochem.org/234/data-sciences-showcase

The ECS Data Science Showcase will highlight new electrochemical and solid state research and the open source software and datasets that underpin the work. Research talks will be complemented by a demonstration on how others can access, use, modify, and improve the open-source tools and data associated with the research project. The ECS Data Sciences Showcase is being led by the very capable and engaging team from the University of Washington—Matt Murbach, David Beck, and Dan Schwartz—who have brought you Hack Day (fall 2017) and Hack Week (spring 2018).

Because data science is a fast moving field, the Showcase will conclude with a “Late Breaking News” session to feature emerging electrochemical and solid state research that embraces open software and open data sets. Especially valued are contributions that feature early-stage research where alpha- and beta-testers can be solicited to improve new open research products. The organizers welcome direct email contact by prospective contributors to the Late Breaking News section, up to four weeks prior to the event.

The complete schedule may be found here.

Meet the organizers

Daniel Schwartz is the Boeing-Sutter Professor of Chemical Engineering and Director of the Clean Energy Institute at the University of Washington, and brings electrochemistry and modeling expertise to the team. David Beck is a Sr. Data Scientist with the eSciences Institute at the University of Washington, and leads regular hackathons; he is Associate Director of the NSF Data Intensive Research Enabling CleanTech (DIRECT) PhD training program. Matthew Murbach is past-president of the University of Washington ECS Student Chapter, and an advanced data sciences PhD trainee; he has been leading the student section software development sessions on the UW campus, and has practical experience coaching electrochemical scientists and engineers in software development.

Speakers

Open Software Tools for the Analysis of Electrochemical Impedance Spectra
Matthew D. Murbach and Daniel T. Schwartz, Department of Chemical Engineering and Clean Energy Institute, University of Washington

Tip–Surface electrode Interactions and the Effects of These Interactions on Scanning Electrochemical Microscopy Response
Alex Mirabal, Dr. Scott Calabrese Barton, Michigan State University

Detailed Chemistry Modeling via Cantera:
A Pathway to Understanding Battery Degradation Mechanisms
Steven C. DeCaluwe,¹ Daniel Korff,¹ Amy LeBar,¹ and Christopher H. Lee^1,2¹ Colorado School of Mines, Department of Mechanical Engineering
² University of Colorado, Colorado Springs, Department of Computer Science

A Data Science Approach for Quantitative Analysis of Total Differential Capacity Plots
L. Thompson,¹ S. Alamdari,¹* T. A. Cohen,^2,3,4* R. C. Masse, ²* G. Z. Cao,² V. C. Holmberg,¹ J. Pfaendtner,¹ and D. A. Beck^1,5¹Department of Chemical Engineering, University of Washington, Seattle, WA
² Department of Materials Science and Engineering, University of Washington, Seattle, WA
³Department of Chemistry, University of Washington, Seattle, WA
⁴ Molecular Engineering Institute, University of Washington, Seattle, WA
⁵eScience Institute, University of Washington, Seattle, WA

Using Image Recognition to Identify Platinum Surfaces with Cyclic Voltammetry Scans
Heather Baroody and Tasleem Muzaffar, Department of Chemistry, Simon Fraser University

Open Science Strategy to Accelerate Adoption of Nonlinear Electrochemical Impedance Spectroscopy as a Battery Diagnostic
V. W. Hu, M. D. Murbach, and D. T. Schwartz, Department of Chemical Engineering and Clean Energy Institute, University of Washington

What Can Electrochemistry Learn from Chess?
Neal Dawson-Elli,¹ Kishalay Mitra,² and Venkat R. Subramanian^1,3¹ Department of Chemical Engineering, University of Washington, Seattle, WA
² Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana, India
³ Pacific Northwest National Laboratory, Richland, WA

Open Software for Electrochemical Battery Modeling, Estimation, and Control
Scott Moura, Assistant Professor, Director of eCAL, Hector Perez, Zach Gima, Saehong Park, and Dong Zhang, University of California, Berkeley

July 13, 2018September 13, 2018

ECS Fellow Dan Schwartz Wins Highest U.S. Award for STEM Mentors

Source: https://www.electrochem.org/redcat-blog/dan-schwartz-wins-award-stem-mentors/

Daniel Schwartz, a University of Washington professor of chemical engineering and director of the Clean Energy Institute, received the Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring from the White House Office of Science and Technology Policy and the National Science Foundation this week. The OSTP and NSF recognized Schwartz for his commitment to interdisciplinary graduate education – helping students apply their research to societal and market needs – along with his dedication to recruiting and supporting Native American STEM (science, technology, engineering and mathematics) scholars at the UW.

“I’m proud to join this cadre of dedicated educators and mentors helping students become leading scientists and engineers,” said Schwartz. “Focusing on clean energy science, engineering and resource management at UW has brought top students from across the country to Seattle, where they have partnered with Northwest tribes and businesses to ensure the future of energy is being created here.”

Starting in 2007, Schwartz launched an NSF-funded interdisciplinary graduate training program that used tribal clean energy research partnerships to attract top Native American students to graduate degree programs in UW’s College of the Environment and College of Engineering. The program was continued and expanded in partnership with Washington State University and Salish Kootenai College with U.S. Department of Agriculture funding, eventually including an undergraduate summer research experience program. Since the program launched, 26 students have completed doctoral degrees, with four awarded to Native Americans and four to other underrepresented minorities. Six masters have also been awarded – including two to Native Americans – and a tribal student-led startup company was founded. A signature achievement was the 2016 Alaska Airlines flight from Seattle to Washington, D.C. on fuel partially made from tribal forest thinnings.

Listen to the ECS Podcast to learn more about Dan Schwatz and open science.

“When you take into consideration the low number of Native Americans succeeding in graduate school STEM programs, you must recognize the number of tribal scholars that Dan has helped succeed, in one way or another,” said UW doctoral student Laurel James. “I, for one, would not be where I am today without his mentorship and opportunities for employment as I worked my way through the majority of my Ph.D. as a single parent.”

In addition to his role as an educator and mentor, Schwartz is the founding director of the UW’s Clean Energy Institute, an interdisciplinary research unit that supports the advancement of next-generation solar energy and battery materials and devices, as well as their integration with systems and the grid. With funds from the state of Washington, CEI has supported 152 graduate fellows pursuing clean energy research at UW. Through CEI, fellows receive professional development training, network with industry professionals and top clean energy researchers from around the world, and lead K-12 STEM outreach programs for Washington state schools.

Daniel Schwartz is also an ECS fellow and organizer of Hack Week, an event held at ECS biannual meetings to raise awareness on the impact of data science tools, open source software, and shared datasets in electrochemistry and solid state science and technology, by bringing together people from different backgrounds to collaborate. Hack Week will be taking place this October at AiMES 2018.

June 1, 2018September 13, 2018

ECS Data Sciences Hack Week

Source: https://www.electrochem.org/233/meeting-highlights

Participants at work during the first ECS Data Sciences Hack Week.

Building on the success of the first ECS Data Sciences Hack Day (October 2017), the Society offered an expanded program at its Seattle meeting. The first ECS Data Sciences Hack Week kicked off on Monday and consisted of all-day sessions Wednesday through Friday, as well as optional software training tutorials during the week. These activities culminated with project presentations and an optional clamming expedition—a traditional activity in the Puget Sound area—on Saturday.

Like Hack Day, Hack Week was organized by Daniel Schwartz, David Beck, and Matthew Murbach of the University of Washington. Daniel Schwartz is the Boeing-Sutter Professor of Chemical Engineering and director of the Clean Energy Institute at the University of Washington. He brings electrochemistry and modeling expertise to the team. David Beck is a senior data scientist with the eSciences Institute at the University of Washington who leads regular hackathons. He is also the associate director of the NSF Data Intensive Research Enabling CleanTech PhD training program. Matthew Murbach is a past president of the ECS University of Washington Student Chapter and an advanced data sciences PhD trainee. He has been leading student section software development sessions on the UW campus and has practical experience coaching electrochemical scientists and engineers in software development.

The goal of the event was to increase the awareness and impact of data science tools, open source software, and shared datasets in electrochemistry and solid state science and technology by bringing together people from different backgrounds to collaborate.

February 13, 2018September 13, 2018

ECS Data Sciences Hack Week Application

ECS Data Sciences Hack Week

Source: https://www.electrochem.org/233/hack-week

May 14-19, 2018
Seattle, WA

Application Deadline: March 30, 2018

ECS Data Science Hack Week Building on the success of the first ECS Data Sciences Hack Day (October 2017), ECS is pleased to offer another opportunity at the ECS spring meeting in Seattle. In May 2018, the program will be expanded to an entire week as the next stage in ECS supporting a growing electrochemical data science and open source community. The goal of this event is to increase awareness and impact of data science tools, open source software, and shared datasets in electrochemistry and solid state science and technology, by bringing together people from different backgrounds to collaborate.

Hack Week will again be led by the very capable and engaging team from University of Washington: Dan Schwartz, David Beck, and Matt Murbach. The program will kick off on Monday, May 14 and have sessions all day Wednesday through Friday, as well as optional software training tutorials during the week. The activities will culminate with project presentations and an optional clamming expedition on Saturday, a traditional activity in the Puget Sound area.

Meet the organizers

Who should attend?

All electrochemical engineers can benefit from this workshop, whether experimentally or theoretically focused. Learning how to create, share, use, and improve open source software tools and public datasets is one way to accelerate research progress in our field.

Travel Grants

A number of travel awards made possible by generous grants from the Army Research Office and the University of Washington Clean Energy Institute will be available. Please indicate your interest in being considered for a travel award when completing your ECS Hack Day application.

Schedule

Monday, May 14

1300-1600h — (Optional Segment) Introduction to Data Science Tools #1 (using the shell/terminal, version control)
1930-2030h — Hack Week Kickoff Event

Tuesday, May 15

1300-1600h — (Optional Segment) Introduction to Data Science Tools #2 (introduction to Python using Conda and Jupyter)

Wednesday, May 16*

0830-1200h — Intermediate Python Topics (documentation and testing)
1200-1300h — Project Updates/Ideation and Team Formation (over lunch)
1300-1800h — Project Hacking Time (1500h: breakout session for data visualization)

Thursday, May 17*

0830-1200h — Advanced Topics (cloud computing and machine learning w/ Python)
1200-1330h — Lunch Break
1330-1800h — Project Hacking Time (1500h: breakout session on reproducibility)

Friday, May 18

0830-1200h — Project Hacking Time
1200-1330h — Lunch Break
1330-1630h — Project Hacking Time
1700-1900h — Project Presentations and Wrap Up

Saturday, May 19 (Optional)

0900-1300h — (Optional) Social Event (clamming in the Puget Sound area)
1300-1700h — (Optional) Social Event Continues (cooking the catch and socializing)

* Note: The session room will remain open until 2330h for continued project hacking on Wednesday and Thursday.

Selection of attendees

The goal of this event is to increase awareness and impact of data science tools, open source software, and shared datasets in electrochemistry by bringing together people from different backgrounds to collaborate. We expect to have 42 slots for attendees, and will seek to build a cohort comprised of people with a diverse mix of experimental and theoretical electrochemical expertise, as well as a range of prior experiences creating and using open source software and python programing.

Interested?

The attendees of Hack Week are innovators, leaders, and emerging leadership in their fields, all interested in accelerating research progress through data science. If you or one of your colleagues would like to learn more, please contact Mary.Yess@electrochem.org. If you would like to sponsor Hack Week, please contact Ashley.Moran@electrochem.org to learn about opportunities. To be considered for a spot at hack week, those interested should complete this application form. Application deadline is March 30, 2018.