Tonio Buonassisi

28 papers A* 1Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Batch Bayesian Optimization for High-Dimensional Experimental Design: Simulation and Visualization. CoRR Imon Mia, Armi Tiihonen, Anna Ernst, Anusha Srivastava, Tonio Buonassisi, William G. Vandenberghe, Julia W. P. Hsu
2025	J	`jnl`	Closed-Loop Robotic Manipulation of Transparent Substrates for Self-Driving Laboratories using Deep Learning Micro-Error Correction. CoRR Kelsey Fontenot, Anjali Gorti, Iva Goel, Tonio Buonassisi, Alexander E. Siemenn
2025	J	`jnl`	Kosmos: An AI Scientist for Autonomous Discovery. CoRR Ludovico Mitchener, Angela Yiu, Benjamin Chang, Mathieu Bourdenx, Tyler Nadolski, Arvis Sulovari, Eric C. Landsness, Daniel L. Barabasi, Siddharth Narayanan, Nicky Evans, Shriya Reddy, Martha Foiani, Aizad Kamal, Leah P. Shriver, Fang Cao, Asmamaw T. Wassie, Jon M. Laurent, Edwin Melville-Green, Mayk Caldas Ramos, Albert Bou, Kaleigh F. Roberts, Sladjana Zagorac, Timothy C. Orr, Miranda E. Orr, Kevin J. Zwezdaryk, Ali Essa Ghareeb, Laurie McCoy, Bruna Gomes, Euan A. Ashley, Karen E. Duff, Tonio Buonassisi, Tom Rainforth, Randall J. Bateman, Michael D. Skarlinski, Samuel G. Rodriques, Michaela M. Hinks, Andrew D. White
2024	J	`jnl`	Deep learning robotics using self-supervised spatial differentiation drive autonomous contact-based semiconductor characterization. CoRR Alexander E. Siemenn, Basita Das, Kangyu Ji, Fang Sheng, Tonio Buonassisi
2023	A*	`conf`	A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level. AAAI Iddo Drori, Sarah J. Zhang, Zad Chin, Reece Shuttleworth, Albert Lu, Linda Chen, Bereket Birbo, Michele He, Pedro Lantigua, Sunny Tran, Gregory Hunter, Bo Feng, Newman Cheng, Roman Wang, Yann Hicke, Saisamrit Surbehera, Arvind Raghavan, Alexander E. Siemenn, Nikhil Singh, Jayson Lynch, Avi Shporer, Nakul Verma, Tonio Buonassisi, Armando Solar-Lezama
2023	—	`conf`	Decreasing the Computing Time of Bayesian Optimization Using Generalizable Memory Pruning. HPEC Alexander E. Siemenn, Tonio Buonassisi
2023	J	`jnl`	Decreasing the Computing Time of Bayesian Optimization using Generalizable Memory Pruning. CoRR Alexander E. Siemenn, Tonio Buonassisi
2023	J	`jnl`	Vision-driven Autocharacterization of Perovskite Semiconductors. CoRR Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen, Hamide Kavak, Basita Das, Tonio Buonassisi
2022	J	`jnl`	Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization. CoRR Alexander E. Siemenn, Zekun Ren, Qianxiao Li, Tonio Buonassisi
2022	J	`jnl`	Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark. CoRR Vitali Petsiuk, Alexander E. Siemenn, Saisamrit Surbehera, Zad Chin, Keith Tyser, Gregory Hunter, Arvind Raghavan, Yann Hicke, Bryan A. Plummer, Ori Kerret, Tonio Buonassisi, Kate Saenko, Armando Solar-Lezama, Iddo Drori
2022	J	`jnl`	Introducing flexible perovskites to the IoT world using photovoltaic-powered wireless tags. CoRR Sai Nithin Reddy Kantareddy, Rahul Bhattacharya, Sanjay E. Sarma, Ian Mathews, Janak Thapa, Liu Zhe, Shijing Sun, Ian Marius Peters, Tonio Buonassisi
2022	J	`jnl`	Transfer Learning for Rapid Extraction of Thickness from Optical Spectra of Semiconductor Thin Films. CoRR Siyu Isaac Parker Tian, Zekun Ren, Selvaraj Venkataraj, Yuanhang Cheng, Daniil Bash, Felipe Oviedo, J. Senthilnath, Vijila Chellappan, Yee-Fun Lim, Armin G. Aberle, Benjamin P. MacLeod, Fraser G. L. Parlane, Curtis P. Berlinguette, Qianxiao Li, Tonio Buonassisi, Zhe Liu
2021	J	`jnl`	A robust low data solution: Dimension prediction of semiconductor nanorods. Comput. Chem. Eng. Xiaoli Liu, Yang Xu, Jiali Li, Xuanwei Ong, Salwa Ali Ibrahim, Tonio Buonassisi, Xiaonan Wang
2021	J	`jnl`	Autonomous Optimization of Fluid Systems at Varying Length Scales. CoRR Alexander E. Siemenn, Evyatar Shaulsky, Matthew Beveridge, Tonio Buonassisi, Sara M. Hashmi, Iddo Drori
2021	J	`jnl`	Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains. CoRR Qiaohao Liang, Aldair E. Gongora, Zekun Ren, Armi Tiihonen, Zhe Liu, Shijing Sun, James R. Deneault, Daniil Bash, Flore Mekki-Berrada, Saif A. Khan, Kedar Hippalgaonkar, Benji Maruyama, Keith A. Brown, John Fisher III, Tonio Buonassisi
2021	J	`jnl`	Interpretable and Explainable Machine Learning for Materials Science and Chemistry. CoRR Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
2021	J	`jnl`	Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing. CoRR Zhe Liu, Nicholas Rolston, Austin C. Flick, Thomas Colburn, Zekun Ren, Reinhold H. Dauskardt, Tonio Buonassisi
2021	J	`jnl`	Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop. CoRR Alexander E. Siemenn, Matthew Beveridge, Tonio Buonassisi, Iddo Drori
2021	J	`jnl`	Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up. CoRR Rishi E. Kumar, Armi Tiihonen, Shijing Sun, David P. Fenning, Zhe Liu, Tonio Buonassisi
2020	J	`jnl`	A robust low data solution: dimension prediction of semiconductor nanorods. CoRR Xiaoli Liu, Yang Xu, Jiali Li, Xuanwei Ong, Salwa Ali Ibrahim, Tonio Buonassisi, Xiaonan Wang
2020	J	`jnl`	Inverse design of crystals using generalized invertible crystallographic representation. CoRR Zekun Ren, Juhwan Noh, Siyu I. P. Tian, Felipe Oviedo, Guangzong Xing, Qiaohao Liang, Armin Aberle, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, Tonio Buonassisi
2019	J	`jnl`	Bayesim: A tool for adaptive grid model fitting with Bayesian inference. Comput. Phys. Commun. Rachel C. Kurchin, Giuseppe Romano, Tonio Buonassisi
2019	J	`jnl`	Long Range Battery-Less PV-Powered RFID Tag Sensors. IEEE Internet Things J. Sai Nithin R. Kantareddy, Ian Mathews, Rahul Bhattacharyya, Ian Marius Peters, Tonio Buonassisi, Sanjay E. Sarma
2019	J	`jnl`	Long range battery-less PV-powered RFID tag sensors. CoRR Sai Nithin R. Kantareddy, Ian Mathews, Rahul Bhattacharyya, Ian Marius Peters, Tonio Buonassisi, Sanjay E. Sarma
2019	J	`jnl`	Perovskite PV-powered RFID: enabling low-cost self-powered IoT sensors. CoRR Sai Nithin R. Kantareddy, Ian Mathews, Shijing Sun, Mariya Layurova, Janak Thapa, Juan Pablo Correa-Baena, Rahul Bhattacharyya, Tonio Buonassisi, Sanjay E. Sarma, Ian Marius Peters
2018	J	`jnl`	Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing. CoRR Juan Pablo Correa-Baena, Kedar Hippalgaonkar, Jeroen van Duren, Shaffiq Jaffer, Vijay Ramaseshan Chandrasekhar, Vladan Stevanovic, Cyrus Wadia, Supratik Guha, Tonio Buonassisi
2018	J	`jnl`	Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks. CoRR Felipe Oviedo, Zekun Ren, Shijing Sun, Charlie Settens, Zhe Liu, Noor Titan Putri Hartono, Ramasamy Savitha, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi
2018	J	`jnl`	Machine learning enables polymer cloud-point engineering via inverse design. CoRR Jatin Nitin Kumar, Qianxiao Li, Karen Y. T. Tang, Tonio Buonassisi, Anibal L. Gonzalez-Oyarce, Jun Ye