Invite: DRT diagnostics workshop for Demo Battery Co.
In 30 minutes we will map your DRT peaks to actionable QC signals and share a concise take-home report.
- QC score snapshot you can use immediately
- DRT peak annotation map (CSV + image)
- An emailed report with recommended follow-ups
Register to receive a CSV template + an example report.
What to bring
- 1 impedance spectrum (CSV)
- Basic test context (cell/stack + conditions)
- Your primary question
Preview the artifacts
A DRT peak map plus a shareable report, formatted for your team.
PDF report preview
DRT peak map sample report
How Pulsenics has helped other teams
“We needed a diagnostics partner who could stick with us for the long term.”
Natasha Kostenuk, CEO & Founder, Ayrton Energy“AI analytics from Pulsenics helps us to offer the latest high-performance technology.”
Paul Sernia, CEO, Endua“Optimizing hydrogen efficiency and fuel cell durability will be key in providing total cost of ownership.”
Mark Mak, Chief Technology Officer, HyzonWhere this workshop helps most
Short, high-signal outcomes for faster QC decisions.
Based on public signals: DRT peak drift that slows root cause analysis
Based on public signals: impedance data that is hard to translate into clear QC thresholds
Based on public signals: fragmented spectra data across teams and experiments
Fast, technical, and output-focused
Short session. Clear deliverables. Built for electrochemistry teams.
Workshop flow
Short, precise, and built for technical teams.
5 min: quick context + data intake
12 min: live DRT mapping + diagnostics
7 min: QC signal plan + next actions
Quick answers
Fast, practical, and low-lift to join.
What file format should I bring?
CSV export of your impedance spectrum. We will send a template after registration.
Do I need to install anything?
No install. We run everything live in the workshop.
How is my data handled?
Data is processed live and discarded after the session unless you ask us to retain it.
Who should attend?
Battery, fuel cell, and electrolyser R&D, quality, process, and manufacturing teams.
Related case studies
Pick a segment-aligned example to review before the call.
Battery case study: identifying unfulfillable cells in 12 hours
Identified unfulfillable cells within the first 12 hours of formation and aging.
From black box to clarity: diagnostics for electrochemical systems
Endua + Pulsenics: AI electrolyser monitoring
Ayrton Energy case study
Relevant papers to share internally
Short, technical reads to align on DRT and EIS workflows.