Giulia Scalet
Papers
9
Total Citations
529
H-Index
8
About
Giulia Scalet is a leading researcher at the intersection of smart materials and soft robotics, with a primary focus on shape memory polymers (SMPs) and 4D printing. Her work has fundamentally advanced the design and application of two-way and multiple-way SMPs—materials that can reversibly change shape under stimuli like heat or light, enabling untethered, programmable soft robotic systems. Her 2020 overview on SMPs for soft robotics has garnered 193 citations, establishing it as a foundational reference in the field. Scalet has pioneered multi-material 3D and 4D printing techniques, including light-activated SMPs with embedded gold nanoparticles (38 citations) and stress-free two-way shape memory effects in semicrystalline networks (42 citations). Her 2024 work on advanced materials for energy harvesting and soft robotics (75 citations) further expands the frontier by integrating piezoelectric performance with SMP functionality. Notable achievements include developing pre-programmed tri-layer electro-thermal actuators with carbon nanotubes (49 citations) and phenomenological models for shape-memory behavior (35 citations). Through these contributions, Scalet has enabled the fabrication of complex, programmable structures that respond autonomously to environmental cues, positioning her as a key innovator in next-generation soft robotics and adaptive materials.
Research Focus
Key Achievements
Top Papers
- 1Two-Way and Multiple-Way Shape Memory Polymers for Soft Robotics: An Overview193 citations · 2020
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