Lithium Batteries May Help Unravel Mystery of Ancient Papyrus Scrolls

Reporting by NIST Taking MeasureRead the original at nist.gov

Executive Summary

A researcher developed an algorithm to unroll the layers of tightly wrapped lithium-ion battery X-ray images, similar to how Cyrus Daugherty did for batteries. This work shares a conceptual parallel with efforts to decipher ancient papyrus scrolls, specifically those preserved from the eruption of Mount Vesuvius. The preservation occurred when volcanic material encased artifacts, including papyrus scrolls, under hardened rock for nearly 1,700 years. Excavations in 1750 unearthed charred papyrus scrolls from Herculaneum. Subsequent efforts to read these scrolls were hampered by challenges like using carbon-based ink, which provides poor contrast against the charred papyrus material, and difficulties in unrolling fused layers. Researchers have applied the algorithm developed for batteries to test unrolling replicas of the Vesuvius scrolls. Additionally, research indicated that X-ray spectrometers could identify lead-based inks in these scrolls, suggesting a method for rapid identification. A collaborative effort is being pursued using Daugherty’s algorithmic approach with techniques involving carbon-based ink and high-temperature exposure to address the material challenges inherent in reading ancient texts.

Facts Only

* NIST researcher Cyrus Daugherty developed an algorithm to virtually unroll the tightly wrapped layers of a cylindrical lithium-ion battery using X-ray images taken at different angles.
* The study aims to extend the life of lithium-ion batteries.
* Volcanic material from Mount Vesuvius buried ancient papyrus scrolls in 79 C.E.
* In 1750, workers found charred papyrus scrolls in Herculaneum.
* Initial attempts to unroll Herculaneum scrolls resulted in crumbling or destroyed papyri.
* Researchers used X-rays and CT scans to examine some inked scrolls and develop algorithms for deciphering them.
* A collaboration involving Brent Seales, including computer scientist Seales, developed algorithms similar to Daugherty’s.
* An X-ray spectrometer was proposed as a method to identify lead salts in ancient ink.
* Replicas of the scrolls were created using modern papyrus inscribed with carbon-based ink mixed with lead sulfate.
* Daugherty's algorithm was adapted to examine the replicas, resulting in successful deciphering within days.

Full Take

The narrative demonstrates a powerful thread connecting abstract computational methods—like multi-layered structure analysis in battery science—to tangible historical reconstruction challenges. The core implication lies in the translation of methodology: an algorithm developed for analyzing modern physical layering is successfully adapted to address complex material obfuscation in ancient artifacts. This mirrors the recognition that sophisticated pattern recognition, whether in physics or paleography, depends on finding reliable indicators within obscured data, even when traditional methods fail due to confounding variables like ink composition (carbon versus lead salts). The progression from a practical engineering problem (battery unwrapping) to an esoteric historical puzzle highlights how fundamental principles of algorithmic thinking can bridge disparate fields.
The limitation arises in the transition from empirical success on replicas to the actual ancient scrolls; the successful application is contingent on known ground truth, which introduces a dependency on external validation. Furthermore, the acknowledgment that current methods fail due to elemental ambiguity (carbon vs. carbon) forces the narrative toward novel material science integration, such as using X-ray spectroscopy to exploit element-specific interactions with radiation. The tension between applying established AI/ML techniques and navigating the specific material physics of ancient artifacts suggests a pattern of innovation where existing tools are pushed to their limits to reveal new forms of knowledge that resist conventional observation.
Bridge questions: If the challenge of discerning carbon ink from charred papyrus is overcome through advanced spectroscopy, what other material or chemical ambiguities define the barrier to reading ancient documents? How can the successful adaptation of Daugherty’s model inform broader methods for interpreting historical data that lacks direct physical correlation with modern materials science? What are the long-term ethical and epistemological implications when computational power is used to reconstruct histories where the original evidence remains physically inaccessible?

From the original · NIST Taking Measure

Just a Standard Blog Four years ago, NIST researcher Cyrus Daugherty developed an algorithm to virtually unroll the tightly wrapped layers of a cylindrical lithium-ion battery. Daugherty’s software transformed X-ray images of the battery, taken at different angles, into a CT scan.

Read the full story at nist.gov

Sentinel — provisional

Raw score, 0 to 1 (uncalibrated)0.15

No strong signs of machine writing were found in the source article. Provisional estimate, not a finding that a person wrote it.

The model's own note (unverified)

LIKELY_HUMAN (confidence: 0.15)

This looks only at the wording of the original source article, not at this page's AI-written sections. A small local AI model made this estimate. It has not been checked against known human and machine texts, so treat it as provisional. It cannot show who wrote an article.

Image: nist.gov · rights & removal