1：Experimental Design and Method Selection:

The study used a spatial confining forced network assembly (SCFNA) method involving a hot embossing process to compress PDMS composites and densify the conductive filler network. Theoretical models included percolation theory and Ohm's Law to explain conductivity enhancements.

2：Sample Selection and Data Sources:

PDMS composites were prepared with short carbon fibers (SCF) at various weight percentages (0.5 to 8 wt%) and hybrid fillers (carbon nanotubes, graphene, or carbon black at 1 wt%). Samples were compressed to different thicknesses (1.0 to 0.1 mm).

3：5 to 8 wt%) and hybrid fillers (carbon nanotubes, graphene, or carbon black at 1 wt%). Samples were compressed to different thicknesses (0 to 1 mm). List of Experimental Equipment and Materials:

3. List of Experimental Equipment and Materials: Equipment included a HAAKE MiniLab twin-screw compounder, a custom hot embossing device with PLC control, SEM (Hitachi S4700), Keithley 4200-SCS for electrical measurements, ZC-90D resistivity meter, universal testing machine (UTM-1422), and video measuring system (JTVMS-1510T). Materials included PDMS (SYLGARD 184), SCF, graphene, carbon black (BP2000), and CNTs.

4：Experimental Procedures and Operational Workflow:

PDMS was mixed with fillers using the compounder, then compressed in the embossing device in two stages: initial compression to 1.0 mm and further compression to lower thicknesses. Samples were cured at 100°C. Electrical and mechanical properties were measured post-processing.

5：0 mm and further compression to lower thicknesses. Samples were cured at 100°C. Electrical and mechanical properties were measured post-processing. Data Analysis Methods:

5. Data Analysis Methods: Electrical conductivity was analyzed using percolation theory equations. Morphology was studied via SEM imaging. Statistical analysis of mechanical properties was performed.