1：Experimental Design and Method Selection:

The study involved synthesizing a shape memory polymer (SMP) with graphene nanoplatelets to create a photothermal-responsive nanocomposite. The design focused on achieving remote and dynamic control of shape transformation using near-infrared (NIR) light. Theoretical models included thermomechanical reprogramming and photothermal effects.

2：Sample Selection and Data Sources:

Samples were prepared with varying graphene concentrations (0%, 4%, 8%, 12%, 16%, 20%) in the SMP. Neural stem cells (NSCs) from mouse neuroectoderm (NE-4C) were used for biological evaluations.

3：List of Experimental Equipment and Materials:

Equipment included a rheometer (MCR 302, Anton Paar), Raman spectroscope (LabRAM HR Evolution, HORIBA Scientific), SEM (FEI FIBSEM), DSC (TA Instruments), mechanical tester (MTS Criterion Model 43), NIR laser device (PSU-III-LED, 808 nm), potentiostat (DY2000 Series, Digi-Ivy), 4-Point sheet resistance meter (R-CHEK), confocal microscopy (Carl Zeiss LSM 710), and spectrophotometer (Thermo). Materials included bisphenol A diglycidyl ether, decylamine, poly(propylene glycol) bis(2-aminopropyl) ether, graphene nanoplatelets (Strem Chemicals Inc.), and cell culture reagents.

4：Experimental Procedures and Operational Workflow:

The nanocomposite inks were prepared by mixing monomers and graphene, followed by stirring and sonication. Viscosity was measured. 3D architectures were designed using Autodesk123D and printed using a dual printing technique (fused deposition modeling and extrusion printing). Samples were cured and characterized for thermal, mechanical, electrical, and biological properties. Shape memory tests involved bending samples and measuring recovery under thermal or NIR stimulation. Cell culture involved seeding NSCs on constructs and assessing viability, proliferation, and differentiation.

5：Data Analysis Methods:

Data were analyzed using statistical methods for mechanical properties, thermal analysis, electrochemical measurements, and cell assays. Software included TW for mechanical data and standard analytical tools for spectroscopy and microscopy.