Discover and read the best of Twitter Threads about #batterytwitter
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A Tweetorial about our recent work @acsnano on polymer-electrolyte nanopore. Super collaboration between @uarkfulbright @AstburyCentre @BraggRoyceLeeds brilliantly delivered by @Chalmazers @Fabio_Marcuccio @dsoulias
pubs.acs.org/doi/10.1021/ac…
pubs.acs.org/doi/10.1021/ac…
About 2 years agom we published @NanoLetters the discovery that 50% PEG generates a very large signal-to-noise enhancement in a nanopore. We attributed this effect to the macromolecular crowding properties of PEG…but is there more to it?
pubs.acs.org/doi/full/10.10…
pubs.acs.org/doi/full/10.10…
Recently @SConfederat @Gayathr06377645 and Ila have shown @BiophysJ that this approach enables the fingerprinting of supramolecular DNA nanostructures Sam will be presenting this work #SMPS3 if you want to know more! @cees_dekker @ChirlminJoo_Lab
cell.com/biophysj/fullt…
cell.com/biophysj/fullt…
Want to learn about continuum models for batteries? 🔋💻
Check our latest collaborative review paper on the topic!
🔗 iopscience.iop.org/article/10.108…
🧵1/6
@batterymodel @FaradayInst
#batterytwitter #battchat
Check our latest collaborative review paper on the topic!
🔗 iopscience.iop.org/article/10.108…
🧵1/6
@batterymodel @FaradayInst
#batterytwitter #battchat
In the article, we present the most common continuum models, from the microscale model to the Single Particle Model. We also highlight the connections between the various models, and how to derive a simpler model from a more complex one (Sections 2 and 3). 2/6
After presenting the models, in Section 4 we revisit them in order of increasing complexity, discussing the additional insight each model offers and what is the computational cost to pay. 3/6
BattCharts by #BattChat
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Aggregating random battery charts, figures, and forecasts from across #batterytwitter
🔋📈🔋📊🔋📉
Aggregating random battery charts, figures, and forecasts from across #batterytwitter
2. Global gigafactory capacity
(VDE Renewables)
(VDE Renewables)
