# LLNL Scientists Uncover Recipe for Recoverable Carbon Dioxide Polymer as High-Energy Material

> LLNL team discovers recipe for stable, recoverable CO2-based polymer energetic materials using quantum simulations. Potential for propellants, explosives from compressed CO and O2 mixtures. Published Jan 2026 in Communications Chemistry.

- Canonical URL: https://coreiten.com/en/article/llnl-scientists-uncover-recipe-for-recoverable-carbon-dioxide-polymer-as-high-energy-material
- Language: en
- Section: Physics Chemistry
- Author: Sami
- Published: 2026-01-28T15:11:25+03:00
- Modified: 2026-01-31T02:40:41+03:00
- Publisher: CoreITen (https://coreiten.com)
- Keywords: Lawrence Livermore National Laboratory, recoverable carbon dioxide polymer, high-energy-density material, CO-O2 mixture compression, quantum molecular dynamics simulations, Stanimir Bonev

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Lawrence Livermore National Laboratory (LLNL) researchers identified a first-of-its-kind carbon dioxide-equivalent polymer recoverable from high-pressure conditions on January 27, 2026. Led by scientist Stanimir Bonev, the team published their findings in *Communications Chemistry*, revealing a recipe for new energetic materials useful in propellants and explosives.

### Breakthrough in High-Pressure Material Recovery

The innovation centers on transforming fleeting high-pressure atomic arrangements into stable materials under ambient conditions. Traditional carbon dioxide under compression forms dense structures, but they revert upon pressure release. LLNL's approach locks atoms into a covalently bonded network, creating a polymeric form that stores significantly more energy per unit mass or volume than ordinary CO2.

### Key Methodology: Simulations and Mixture Compression

Researchers combined quantum molecular dynamics simulations with large-scale machine-learning models to predict polymer formation pathways. They explored broad pressure and temperature ranges, identifying optimal conditions. The pivotal strategy: compressing a mixture of carbon monoxide (CO) and oxygen (O2) instead of pure CO2. This lowers required pressures, enables flexible reactions, and favors amorphous solids over crystals for better stability post-decompression.

- Quantum simulations modeled high-pressure behavior and release dynamics.
- Machine learning accelerated exploration of conditions.
- CO + O2 mixture forms carbon-carbon bonds, stabilizing the structure.

### Physical Explanation of Stability

Carbon-carbon bonds emerge readily in the mixture, forming a distinct structure that persists after pressure release. Amorphous nature avoids crystal defects that destabilize upon decompression. Bonev explained: "A polymeric form of carbon dioxide stores far more energy... representing a high-energy-density material." This distinguishes it from transient high-pressure phases.

### Potential Applications and Broader Impact

Energetic materials from this polymer could advance propellants and explosives with superior energy density. The method extends to light-element systems like carbon, oxygen, nitrogen, hydrogen, potentially yielding new functional materials. LLNL provides a concrete experimental target: compress CO-O2 mixtures under specified conditions to synthesize and recover the polymer.

### Comparison to Prior High-Pressure Research

Unlike pure CO2 studies, which fail at ambient recovery, the mixture approach succeeds at lower pressures. Previous efforts yielded only transient phases; this identifies a stable, amorphous polymer. No direct competitors match this CO2-equivalent recoverability, positioning LLNL's work as pioneering in energetic material design.

Experimental validation could follow simulations, with machine-learning guidance optimizing synthesis. Related LLNL code developments for non-equilibrium simulations, like foam targets at National Ignition Facility, suggest synergies for atomistic-hydrodynamic modeling. Success here may enable materials releasing energy controllably, advancing defense and aerospace applications backed by the polymer's predicted high density.

## Sources

- [phys.org](https://phys.org/news/2026-01-fleeting-stable-scientists-uncover-recipe.html)