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2020 – today
- 2024
[i20]Alexander E. Siemenn, Basita Das, Kangyu Ji, Fang Sheng, Tonio Buonassisi:
Deep learning robotics using self-supervised spatial differentiation drive autonomous contact-based semiconductor characterization. CoRR abs/2411.09892 (2024)- 2023
- [c2]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:
A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level. AAAI 2023: 15921-15929 - [c1]Alexander E. Siemenn, Tonio Buonassisi:
Decreasing the Computing Time of Bayesian Optimization Using Generalizable Memory Pruning. HPEC 2023: 1-7 - [i19]Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen, Hamide Kavak, Basita Das, Tonio Buonassisi:
Vision-driven Autocharacterization of Perovskite Semiconductors. CoRR abs/2304.14408 (2023) - [i18]Alexander E. Siemenn, Tonio Buonassisi:
Decreasing the Computing Time of Bayesian Optimization using Generalizable Memory Pruning. CoRR abs/2309.04510 (2023) - 2022
- [i17]Sai Nithin Reddy Kantareddy, Rahul Bhattacharya, Sanjay E. Sarma, Ian Mathews, Janak Thapa, Liu Zhe, Shijing Sun
, Ian Marius Peters, Tonio Buonassisi:
Introducing flexible perovskites to the IoT world using photovoltaic-powered wireless tags. CoRR abs/2207.00227 (2022) - [i16]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:
Transfer Learning for Rapid Extraction of Thickness from Optical Spectra of Semiconductor Thin Films. CoRR abs/2207.02209 (2022) - [i15]Alexander E. Siemenn, Zekun Ren, Qianxiao Li, Tonio Buonassisi:
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization. CoRR abs/2208.13771 (2022) - [i14]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:
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark. CoRR abs/2211.12112 (2022) - 2021
- [j3]Xiaoli Liu, Yang Xu, Jiali Li, Xuanwei Ong, Salwa Ali Ibrahim, Tonio Buonassisi, Xiaonan Wang:
A robust low data solution: Dimension prediction of semiconductor nanorods. Comput. Chem. Eng. 150: 107315 (2021) - [i13]Alexander E. Siemenn, Matthew Beveridge, Tonio Buonassisi, Iddo Drori:
Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop. CoRR abs/2105.02858 (2021) - [i12]Alexander E. Siemenn, Evyatar Shaulsky, Matthew Beveridge, Tonio Buonassisi, Sara M. Hashmi, Iddo Drori:
Autonomous Optimization of Fluid Systems at Varying Length Scales. CoRR abs/2105.13553 (2021) - [i11]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:
Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains. CoRR abs/2106.01309 (2021) - [i10]Zhe Liu, Nicholas Rolston, Austin C. Flick, Thomas Colburn, Zekun Ren, Reinhold H. Dauskardt, Tonio Buonassisi:
Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing. CoRR abs/2110.01387 (2021) - [i9]Rishi E. Kumar, Armi Tiihonen, Shijing Sun, David P. Fenning, Zhe Liu, Tonio Buonassisi:
Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up. CoRR abs/2110.03923 (2021) - [i8]Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, Keith Butler:
Interpretable and Explainable Machine Learning for Materials Science and Chemistry. CoRR abs/2111.01037 (2021) - 2020
- [i7]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:
Inverse design of crystals using generalized invertible crystallographic representation. CoRR abs/2005.07609 (2020) - [i6]Xiaoli Liu, Yang Xu, Jiali Li, Xuanwei Ong, Salwa Ali Ibrahim, Tonio Buonassisi, Xiaonan Wang:
A robust low data solution: dimension prediction of semiconductor nanorods. CoRR abs/2010.14111 (2020)
2010 – 2019
- 2019
- [j2]Rachel C. Kurchin, Giuseppe Romano, Tonio Buonassisi:
Bayesim: A tool for adaptive grid model fitting with Bayesian inference. Comput. Phys. Commun. 239: 161-165 (2019) - [j1]Sai Nithin R. Kantareddy, Ian Mathews, Rahul Bhattacharyya, Ian Marius Peters, Tonio Buonassisi, Sanjay E. Sarma:
Long Range Battery-Less PV-Powered RFID Tag Sensors. IEEE Internet Things J. 6(4): 6989-6996 (2019) - [i5]Sai Nithin R. Kantareddy, Ian Mathews, Rahul Bhattacharyya, Ian Marius Peters, Tonio Buonassisi, Sanjay E. Sarma:
Long range battery-less PV-powered RFID tag sensors. CoRR abs/1909.05818 (2019) - [i4]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:
Perovskite PV-powered RFID: enabling low-cost self-powered IoT sensors. CoRR abs/1909.09197 (2019) - 2018
- [i3]Juan Pablo Correa-Baena, Kedar Hippalgaonkar, Jeroen van Duren, Shaffiq Jaffer, Vijay Ramaseshan Chandrasekhar, Vladan Stevanovic, Cyrus Wadia, Supratik Guha, Tonio Buonassisi:
Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing. CoRR abs/1803.11246 (2018) - [i2]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:
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks. CoRR abs/1811.08425 (2018) - [i1]Jatin Nitin Kumar, Qianxiao Li, Karen Y. T. Tang, Tonio Buonassisi, Anibal L. Gonzalez-Oyarce, Jun Ye:
Machine learning enables polymer cloud-point engineering via inverse design. CoRR abs/1812.11212 (2018)
Coauthor Index
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