Targets with microstructured front surfaces have shown great potential in improving high-intensity laser–matter interaction.We present cone-shaped microstructures made out of silicon and titanium created by ultrashor...Targets with microstructured front surfaces have shown great potential in improving high-intensity laser–matter interaction.We present cone-shaped microstructures made out of silicon and titanium created by ultrashort laser pulse processing with different characteristics.In addition,we illustrate a process chain based on moulding to recreate the laser-processed samples out of polydimethylsiloxane,polystyrol and copper.With all described methods,samples of large sizes can be manufactured,therefore allowing time-efficient,cost-reduced and reliable ways to fabricate large quantities of identical targets.展开更多
Achieving targeted microstructures through composition design is a core challenge in developing structural materials for high-performance applications.This study introduces a multiscale Integrated Computational Materi...Achieving targeted microstructures through composition design is a core challenge in developing structural materials for high-performance applications.This study introduces a multiscale Integrated Computational Materials Engineering(ICME)framework that combines CALPHAD-based thermodynamic modeling,machine learning,molecular dynamics,and diffusion kinetics to link alloy chemistry to microstructural evolution.Machine learning models trained on 750,000 CALPHAD-derived datapoints enabled rapid screening of two billion compositions based on thermodynamic criteria.An advanced screening step incorporated nanoscale physical descriptors that capture mechanisms governing precipitate coarsening and dynamic recrystallization.Applied towroughtNi-based superalloys,the framework identified twelve compositions predicted to form fine intragranularγ′precipitates within coarseγgrains;one was experimentally validated,with microscopy confirming the predicted microstructure.While demonstrated forNi-based systems,themethodology is broadlygeneralizable.This work highlights the power of integrating high-throughput composition screening with atomistic-scale evaluation to accelerate microstructure-driven materials design beyond equilibrium thermodynamics.展开更多
Ultrashort laser pulses are used to create surface structures on thin(25 μm) silicon(Si) wafers. Scanning the wafer with a galvanometric mirror system creates large homogeneously structured areas. The variety of stru...Ultrashort laser pulses are used to create surface structures on thin(25 μm) silicon(Si) wafers. Scanning the wafer with a galvanometric mirror system creates large homogeneously structured areas. The variety of structure shapes that can be generated with this method is exemplified by the analysis of shape, height and distance of structures created in the ambient media air and isopropanol. A study of the correlation between structure height and remaining wafer thickness is presented. The comparatively easy manufacturing technique and the structure variety that allows for custom-tailored targets show great potential for high repetition rate ion acceleration experiments.展开更多
基金the DFG in the framework of the Excellence Initiative,Darmstadt Graduate School of Excellence Energy Science and Engineering(GSC 1070)the BMBF(05P19RDFA1)and the Hessian Ministry for Science and the Arts(HMWK)through the LOEWE Research Cluster Nuclear Photonics at TU Darmstadt.
文摘Targets with microstructured front surfaces have shown great potential in improving high-intensity laser–matter interaction.We present cone-shaped microstructures made out of silicon and titanium created by ultrashort laser pulse processing with different characteristics.In addition,we illustrate a process chain based on moulding to recreate the laser-processed samples out of polydimethylsiloxane,polystyrol and copper.With all described methods,samples of large sizes can be manufactured,therefore allowing time-efficient,cost-reduced and reliable ways to fabricate large quantities of identical targets.
基金supported by the National Research Foundation of Korea(NRF)funded by theMinistry ofScience and ICT,Korea(NRF-2022R1A5A1030054 and RS-2024-00451579).
文摘Achieving targeted microstructures through composition design is a core challenge in developing structural materials for high-performance applications.This study introduces a multiscale Integrated Computational Materials Engineering(ICME)framework that combines CALPHAD-based thermodynamic modeling,machine learning,molecular dynamics,and diffusion kinetics to link alloy chemistry to microstructural evolution.Machine learning models trained on 750,000 CALPHAD-derived datapoints enabled rapid screening of two billion compositions based on thermodynamic criteria.An advanced screening step incorporated nanoscale physical descriptors that capture mechanisms governing precipitate coarsening and dynamic recrystallization.Applied towroughtNi-based superalloys,the framework identified twelve compositions predicted to form fine intragranularγ′precipitates within coarseγgrains;one was experimentally validated,with microscopy confirming the predicted microstructure.While demonstrated forNi-based systems,themethodology is broadlygeneralizable.This work highlights the power of integrating high-throughput composition screening with atomistic-scale evaluation to accelerate microstructure-driven materials design beyond equilibrium thermodynamics.
基金financial support by the DFG in the framework of the Excellence Initiative, Darmstadt Graduate School of Excellence Energy Science and Engineering (GSC 1070)the target laboratory of the Nuclear Physics Department, TU Darmstadt, for their support
文摘Ultrashort laser pulses are used to create surface structures on thin(25 μm) silicon(Si) wafers. Scanning the wafer with a galvanometric mirror system creates large homogeneously structured areas. The variety of structure shapes that can be generated with this method is exemplified by the analysis of shape, height and distance of structures created in the ambient media air and isopropanol. A study of the correlation between structure height and remaining wafer thickness is presented. The comparatively easy manufacturing technique and the structure variety that allows for custom-tailored targets show great potential for high repetition rate ion acceleration experiments.
