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Defect-to-Defect Energy Transfer Got a Calculator
The open-source PyRET package predicts how tiny flaws in solids exchange energy from first principles.
Summary
The open-source PyRET package predicts how tiny flaws in solids exchange energy from first principles.
Argonne National Laboratory and University of Chicago researchers released PyRET, an open-source Python package for predicting resonance energy transfer between defects in solid materials. The tool connects first-principles calculations with longer-scale energy migration, helping researchers evaluate optical-memory, quantum and microelectronic materials. It is a modeling package, not proof that a particular device will meet performance targets.
Why it matters
The open-source PyRET package predicts how tiny flaws in solids exchange energy from first principles.
Limits and context
- Argonne National Laboratory and University of Chicago researchers released PyRET, an open-source Python package for predicting resonance energy transfer between defects in solid materials.
- It is a modeling package, not proof that a particular device will meet performance targets.
Key claims
The open-source PyRET package predicts how tiny flaws in solids exchange energy from first principles.
Qualification: Argonne National Laboratory and University of Chicago researchers released PyRET, an open-source Python package for predicting resonance energy transfer between defects in solid materials.
Evidence: source-2026-07-31-011
Sources
- Argonne National Laboratory via Newswise: PyRET predicts defect energy transferArgonne National Laboratory · secondary reporting
Corrections
No corrections have been recorded for this story.