Research & Insights

Ideas at the edge of battery science

Research notes, platform deep-dives and industry perspective from the Digital DNA™ team.

Why battery genomics is the missing layer in the energy transition

Cleaner energy depends on batteries we can trust, yet most are still treated as black boxes once they leave the factory. Reading the genome of each cell turns that uncertainty into intelligence — making every battery safer, longer-lasting and easier to value.

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How AI predicts battery ageing before it happens

A look at how models trained on real chemistry can forecast capacity loss long before it shows up in everyday use.

Spotting a battery fire weeks before it starts

The quiet warning signs of thermal runaway, and how early detection gives operators time to act.

The hidden cost of material variability at gigafactory scale

Tiny differences in raw materials add up fast — and quietly drain yield across a whole production line.

Building the Genomic Thread™: one record, mine to mission

How a single unbroken data record follows a battery from raw material all the way to recycling.

What a material's surface chemistry reveals

The outer layer of a battery material holds clues about how it will perform and how long it will last.

The EU Battery Regulation and the digital passport

What the coming rules mean in plain terms, and why traceable data is about to become essential.

Learning across battery fleets without sharing private data

How models can get smarter from many fleets at once while each operator's data stays their own.

From safety standards to everyday practice

Turning written safety standards into checks that actually run on real batteries, every day.

Silicon-carbon anodes: more range, new challenges

A promising material that stores more energy — and the trade-offs engineers need to manage.

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