58 citations · 110 across the 7 of their papers we have counts for
7 papers
Closed-Loop Robotic Manipulation of Transparent Substrates for Self-Driving Laboratories using Deep Learning Micro-Error Correction
Kelsey Fontenot, Anjali Gorti, Iva Goel +2
Self-driving laboratories (SDLs) have accelerated the throughput and automation capabilities for discovering and improving chemistries and materials. Although these SDLs have autom…
A Self-Supervised Robotic System for Autonomous Contact-Based Spatial Mapping of Semiconductor Properties
Alexander E. Siemenn, Basita Das, Kangyu Ji +2
Integrating robotically driven contact-based material characterization techniques into self-driving laboratories can enhance measurement quality, reliability, and throughput. While…
Decreasing the Computing Time of Bayesian Optimization using Generalizable Memory Pruning
Alexander E. Siemenn, Tonio Buonassisi
Bayesian optimization (BO) suffers from long computing times when processing highly-dimensional or large data sets. These long computing times are a result of the Gaussian process…
Using Scalable Computer Vision to Automate High-throughput Semiconductor Characterization
Alexander E. Siemenn, Eunice Aissi, Fang Sheng +4
High-throughput materials synthesis methods have risen in popularity due to their potential to accelerate the design and discovery of novel functional materials, such as solution-p…
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI)
Alexander E. Siemenn, Zekun Ren, Qianxiao Li +1
Needle-in-a-Haystack problems exist across a wide range of applications including rare disease prediction, ecological resource management, fraud detection, and material property op…
Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop
Alexander E. Siemenn, Matthew Beveridge, Tonio Buonassisi +1
High-performance semiconductor optoelectronics such as perovskites have high-dimensional and vast composition spaces that govern the performance properties of the material. To cost…
A Machine Learning and Computer Vision Approach to Rapidly Optimize Multiscale Droplet Generation
Alexander E. Siemenn, Evyatar Shaulsky, Matthew Beveridge +3
Generating droplets from a continuous stream of fluid requires precise tuning of a device to find optimized control parameter conditions. It is analytically intractable to compute…