Tonio Buonassisi

According to our database1, Tonio Buonassisi authored at least 21 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Vision-driven Autocharacterization of Perovskite Semiconductors.
CoRR, 2023

Decreasing the Computing Time of Bayesian Optimization Using Generalizable Memory Pruning.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark.
CoRR, 2022

Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization.
CoRR, 2022

Transfer Learning for Rapid Extraction of Thickness from Optical Spectra of Semiconductor Thin Films.
CoRR, 2022

Introducing flexible perovskites to the IoT world using photovoltaic-powered wireless tags.
CoRR, 2022

2021
Interpretable and Explainable Machine Learning for Materials Science and Chemistry.
CoRR, 2021

Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up.
CoRR, 2021

Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing.
CoRR, 2021

Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains.
CoRR, 2021

Autonomous Optimization of Fluid Systems at Varying Length Scales.
CoRR, 2021

Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop.
CoRR, 2021

A robust low data solution: Dimension prediction of semiconductor nanorods.
Comput. Chem. Eng., 2021

2020
Inverse design of crystals using generalized invertible crystallographic representation.
CoRR, 2020

2019
Long Range Battery-Less PV-Powered RFID Tag Sensors.
IEEE Internet Things J., 2019

Bayesim: A tool for adaptive grid model fitting with Bayesian inference.
Comput. Phys. Commun., 2019

Perovskite PV-powered RFID: enabling low-cost self-powered IoT sensors.
CoRR, 2019

2018
Machine learning enables polymer cloud-point engineering via inverse design.
CoRR, 2018

Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks.
CoRR, 2018

Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing.
CoRR, 2018


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