11 citations · 12 across the 6 of their papers we have counts for
6 papers
Tensor Methods: A Unified and Interpretable Approach for Material Design
Shaan Pakala, Aldair E. Gongora, Brian Giera +1
When designing new materials, it is often necessary to tailor the material design to have some desired properties. As the set of material design parameters grows, the search space…
Toward Autonomous Laboratory Safety Monitoring with Vision Language Models: Learning to See Hazards Through Scene Structure
Trishna Chakraborty, Udita Ghosh, Aldair Ernesto Gongora +5
Laboratories are prone to severe injuries from minor unsafe actions, yet continuous safety monitoring -- beyond mandatory pre-lab safety training -- is limited by human availabilit…
Surrogate Modeling for the Design of Optimal Lattice Structures using Tensor Completion
Shaan Pakala, Aldair E. Gongora, Brian Giera +1
When designing new materials, it is often necessary to design a material with specific desired properties. Unfortunately, as new design variables are added, the search space grows…
Autonomous Discovery of Tough Structures
Kelsey L. Snapp, Benjamin Verdier, Aldair Gongora +6
A key feature of mechanical structures ranging from crumple zones in cars to padding in packaging is their ability to provide protection by absorbing mechanical energy. Designing s…
Designing Composites with Target Effective Young's Modulus using Reinforcement Learning
Aldair E. Gongora, Siddharth Mysore, Beichen Li +5
Advancements in additive manufacturing have enabled design and fabrication of materials and structures not previously realizable. In particular, the design space of composite mater…
Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains
Qiaohao Liang, Aldair E. Gongora, Zekun Ren +12
In the field of machine learning (ML) for materials optimization, active learning algorithms, such as Bayesian Optimization (BO), have been leveraged for guiding autonomous and hig…