Mohammad Saber Hashemi
Papers
1
Total Citations
9
H-Index
1
About
Mohammad Saber Hashemi is a materials scientist and engineer whose research lies at the intersection of soft matter, multifunctional composites, and data-driven design. His work focuses on understanding and engineering the complex microstructure–property relationships in liquid metal embedded elastomers (LMEEs)—a class of materials with transformative potential for stretchable electronics, soft robotics, and adaptive thermal management. In his highly cited 2022 study, Hashemi pioneered the use of machine learning to link microstructural features—such as droplet size, distribution, and morphology—directly to the macroscopic electromechanical and thermal properties of LMEEs. This approach enables rapid, inverse design of these composites, bypassing costly trial-and-error experimentation. By integrating computational modeling with experimental validation, his work provides a systematic framework for tailoring material performance for specific applications. With his paper already garnering 9 citations in a short time, Hashemi is establishing himself as a rising voice in the field of materials informatics. His contributions are helping to bridge the gap between data science and physical materials design, offering new pathways for creating intelligent, responsive soft composites.
Research Focus
Key Achievements
Top Papers
- 1