Tag: science

• Introducing Glimpse (07 Mar 2024)
  Introducing Glimpse


• Thoughts on AI (03 Mar 2024)
  Everything in moderation


• Some open questions in battery electrochemistry (03 Mar 2024)
  


• Paper published: Pulse-induced activation of LFP (18 Feb 2024)
  Surprising benefits of high-rate battery operation


• Updates on "knees" paper (18 Feb 2024)
  WSJ interview and EU regulations for the "knees" paper


• Engineering confidence (05 Jan 2023)
  Decision making under uncertainty


• Data work in batteries (05 Jan 2023)
  My perspective on what the battery academic community should focus on


• Your call is important to us: Resourcing teams to keep up with demand (10 Jul 2022)
  A brief intro to queueing theory


• Paper published: Knees in lithium-ion battery aging trajectories (10 Jul 2022)
  Why do batteries suddenly lose capacity?


• My perpetual motion machine (05 Dec 2021)
  My best shot at a perpetual motion machine


• Adding milk to coffee: An optimization problem (30 Oct 2021)
  Quick simulations on the best time to add milk to coffee


• Paper published: Formation signals (21 Oct 2021)
  Detecting signals in formation


• Paper published: Statistical learning for battery lifetime prediciton (26 Sep 2021)
  Statistical learning for battery lifetime prediciton


• Manufacturing: An ode (12 Sep 2021)
  My case for why more people should make stuff


• Why open access is important to me (06 Jun 2021)
  The case for open access


• Paper published: Fast battery formation (06 Jun 2021)
  Understanding the fundamentals of battery formation


• Paper published: ENPOLITE (06 Jun 2021)
  Benchmarking batteries


• Talk on time dependence of SEI growth (06 Jun 2021)
  The ECS meeting talk that wasn't


• Battery data careers FAQ (03 Apr 2021)
  FAQ on battery data scientist careers


• Cyclic voltammetry simulation error (20 Sep 2020)
  Error in cyclic voltammetry simulation


• Paper published: Revisiting the time dependence of SEI growth (17 May 2020)
  Meta-analysis of the time dependence of SEI growth published in JES


• Visualizing COVID-19 growth (01 Apr 2020)
  Visualizations illustrating the growth of COVID-19


• Paper published: Closed-loop optimization of fast-charging protocols for batteries with machine learning (27 Feb 2020)
  Machine learning for battery fast charging published in Nature


• Graduate school application resources (26 Sep 2019)
  My graduate school application materials


• On writing (04 Sep 2019)
  Slides from a talk I gave on writing well


• Paper published: SEI visualized via cryo-EM (20 Aug 2019)
  SEI microscopy paper published in Nano Letters


• PhD defense! (11 Jun 2019)
  PhD defense


• Paper published: Data-driven prediction of battery cycle life (09 Apr 2019)
  Machine learning for batteries paper published in Nature Energy


• Papers published: SEI kinetics via electrochemistry (01 Mar 2019)
  Electrochemical kinetics of SEI growth, Parts I and II


• Explaining my research with xkcd's Simple Writer (26 Jan 2019)
  Explaining scientific concepts with the 1000 most common English words


• Paper published: Surface diffusion in LFP (20 Sep 2018)
  Co-authored paper published in Nature Materials


• Visualizing battery charging and discharging (14 Jun 2018)
  In-situ optical imaging of batteries


• Galvanostatic simulation web app (06 Mar 2018)
  Introducing my galvanostatic simulation web app, built with plotly.js


• Thermal modeling of cylindrical batteries (09 Nov 2017)
  Using MATLAB to do simple thermal modeling of cylindrical batteries


• Cyclic voltammetry simulation web app (24 Sep 2017)
  Introducing my cyclic voltammetry web app, built with plotly.js


• Automating science (18 Sep 2017)
  Thoughts on accelerating scientific innovation through automation


• Headspace: Thoughts on mentoring (15 Sep 2017)
  Lessons learned from mentoring junior students


• Battery breakthroughs vs incremental progress (31 Aug 2017)
  My "realist" perspective of scientific innovation


• Cyclic voltammetry app tutorial (19 Aug 2017)
  Introducing my cyclic voltammetry MATLAB app & tutorial