Temperature evolution of dense gold and diamond heated by energetic laser-driven aluminum ions
At a Glance
Section titled âAt a Glanceâ| Metadata | Details |
|---|---|
| Publication Date | 2022-09-07 |
| Journal | Scientific Reports |
| Authors | Changhui Song, Soohyung Lee, WooâSuk Bang |
| Institutions | Institute for Basic Science, Gwangju Institute of Science and Technology |
| Citations | 7 |
| Analysis | Full AI Review Included |
Executive Summary
Section titled âExecutive SummaryâThis study investigates the temporal evolution of temperature uniformity in solid-density gold and diamond samples heated by energetic laser-driven aluminum (Al) ion beams.
- Core Achievement: Demonstrated that a laser-driven ion beam with a specific energy spread can achieve highly uniform heating (2-5% nonuniformity) in Warm Dense Matter (WDM) samples on a nanosecond timescale.
- Heating Mechanism: Uniformity is achieved through a balance: low-energy ions heat the front surface, while high-energy ions deposit energy near the rear surface.
- Temporal Dynamics: The heating process is not uniformly smooth. Nonuniformity is initially low, but significantly worsens during the peak energy deposition phase (45-87 ps), reaching up to 11.3% in diamond.
- Final State Uniformity: The temperature uniformity gradually improves after the peak heating phase, resulting in a final state nonuniformity of 2-3% for gold and ~5% for diamond at 125 ps.
- Simulation Tools: The analysis relies on Monte Carlo simulations (SRIM) for ion stopping power and SESAME Equation-of-State (EOS) tables for calculating time-dependent temperatures.
- Material State: The samples remain at near-solid density throughout the heating process, reaching temperatures above 10,000 K (e.g., 5.13 eV for gold).
Technical Specifications
Section titled âTechnical Specificationsâ| Parameter | Value | Unit | Context |
|---|---|---|---|
| Target Material 1 | Gold (Au) | N/A | 10 ”m thickness, solid density |
| Target Material 2 | Diamond (C) | N/A | 15 ”m thickness, solid density |
| Ion Beam Type | Aluminum (Al) | N/A | Laser-driven, quasi-monoenergetic |
| Average Ion Energy | 140 (±33) | MeV | Input energy spectrum |
| Ion Incidence Angle | 45 | ° | Angle relative to sample surface normal |
| Laser Intensity (Source) | ~2 x 1020 | W/cm2 | Used to generate Al ion beam |
| Total Heating Duration | 0-125 | ps | Time frame studied |
| Peak Heating Power (Au) | 14.9 | MeV/ion/ps | Occurs at 69.2 ps |
| Final Temperature (Au) | 5.13 (±0.12) | eV | At 125 ps (using SESAME 2705) |
| Final Temperature (Diamond) | 1.91 (±0.10) | eV | At 125 ps (using SESAME 7834) |
| Peak Heating Nonuniformity (Diamond) | 11.3 | % | Maximum observed at 87 ps |
| Final Temperature Nonuniformity (Au) | 2-3 | % | Achieved at the end of the 125 ps heating process |
| Volume Expansion | <3 | % | Estimated volume increase during heating |
| Global Thermal Equilibrium Time (Au) | ~1 | ”s | Time required after heating completes |
Key Methodologies
Section titled âKey MethodologiesâThe temporal temperature evolution was calculated using a combination of simulation and tabulated material properties:
-
Ion Beam Generation and Filtering:
- An intense ultrashort laser pulse (2 x 1020 W/cm2) irradiated a 110 nm thick aluminum foil to generate the energetic Al ion beam.
- A 5 ”m thick Al filter was placed 2.0 mm before the samples to block low-energy contaminants (protons <0.5 MeV and Al ions <10 MeV).
-
Stopping Power Calculation:
- The energy deposited on the samples over time was calculated using the Monte Carlo simulation code SRIM (Stopping and Range of Ions in Matter).
- The input data for SRIM was the measured energy spectrum of 10,000 incident Al ions (average 140 ± 33 MeV).
- Calculations used cold stopping power data, acknowledging potential errors (up to 4% for Au) if warm dense plasma effects were included.
-
Temperature Determination:
- The calculated deposited energy was converted into temperature using the SESAME Equation-of-State (EOS) tables.
- Specific tables used were No. 2700/2705 for gold and No. 7830/7834 for diamond.
-
Uniformity Quantification:
- Heating nonuniformity was defined as the ratio of the standard deviation of the stopping power to the average stopping power, multiplied by 100%.
- The temperature nonuniformity was similarly defined using the standard deviation of temperature divided by the average temperature.
-
Thermal Equilibrium Assessment:
- Local thermal equilibrium (electron-ion coupling) was expected to be reached within several picoseconds.
- Global thermal equilibrium (uniformity across the sample depth) was calculated to require much longer timescales (~1 ”s for Au, ~20 ”s for diamond), confirming the necessity of studying temporal uniformity during the rapid heating phase.
Commercial Applications
Section titled âCommercial ApplicationsâThis research is critical for engineering applications requiring precise, rapid, and uniform energy deposition into materials under extreme conditions, particularly in the field of High-Energy Density Physics (HEDP).
- Warm Dense Matter (WDM) Research: Enables highly accurate measurements of material properties (e.g., thermal conductivity, EOS) by minimizing temperature gradients, which are necessary for validating theoretical models.
- Inertial Confinement Fusion (ICF) / Fast Ignition: Uniform heating by ion beams is a key requirement for pre-heating fusion fuel capsules (like diamond ablators) to the WDM state, improving ignition efficiency and stability.
- Advanced Material Testing: Provides a controlled method for studying ultrafast phase transitions (e.g., melting) and material response to intense, rapid energy deposition while maintaining solid density, relevant for materials used in high-radiation environments.
- High-Power Laser System Design: The findings inform the design and optimization of laser-driven ion sources, specifying the required ion energy spread to achieve desired heating profiles in target materials.
- EOS Model Validation: The experimental framework supports the validation and refinement of complex EOS tables (like SESAME) by providing time-resolved temperature data under controlled, uniform heating conditions.