Horacio D. Espinosa

According to our database, Horacio D. Espinosa authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Machine Learning-Driven Creep Law Discovery Across Alloy Compositional Space.

Hongshun Chen, Ryan Zhou, Rujing Zha, Zihan Chen, Wenpan Li, Rowan Rolark, John Patrick Reidy, Jian Cao, Ping Guo, David C. Dunand, Horacio D. Espinosa

CoRR, January, 2026

2025

Data-Driven Multiscale Topology Optimization of Soft Functionally Graded Materials with Large Deformations.

Shiguang Deng, Horacio D. Espinosa, Wei Chen

CoRR, June, 2025

Data-Driven Multiscale Topology Optimization of Spinodoid Architected Materials with Controllable Anisotropy.

Shiguang Deng, Doksoo Lee, Aaditya Chandrasekhar, Stefan Knapik, Liwei Wang, Horacio D. Espinosa, Wei Chen

CoRR, June, 2025

2023

Mechanical Characterization and Inverse Design of Stochastic Architected Metamaterials Using Neural Operators.

Hanxun Jin, Enrui Zhang, Boyu Zhang, Sridhar Krishnaswamy, George Em Karniadakis, Horacio D. Espinosa

CoRR, 2023

Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review.

Hanxun Jin, Enrui Zhang, Horacio D. Espinosa

CoRR, 2023