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ORCIDAnna M. Hiszpanski
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2020 – today
- 2024
[i6]Gyeong Hoon Yi, Jiwoo Choi, Hyeongyun Song, Olivia Miano, Jaewoong Choi, Kihoon Bang, Byungju Lee, Seok Su Sohn
, David Buttler, Anna M. Hiszpanski, Sang Soo Han, Donghun Kim:
MaTableGPT: GPT-based Table Data Extractor from Materials Science Literature. CoRR abs/2406.05431 (2024)- 2022
- [j4]Evan R. Antoniuk, Peggy Li, Bhavya Kailkhura, Anna M. Hiszpanski:
Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property Predictions. J. Chem. Inf. Model. 62(22): 5435-5445 (2022) - [i5]Evan R. Antoniuk, Peggy Li, Bhavya Kailkhura, Anna M. Hiszpanski:
Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property Predictions. CoRR abs/2205.13757 (2022) - [i4]Ioannis C. Tsaknakis, Bhavya Kailkhura, Sijia Liu, Donald Loveland, James Diffenderfer, Anna Maria Hiszpanski, Mingyi Hong:
Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning. CoRR abs/2206.02785 (2022) - 2021
- [j3]Phan Nguyen, Donald Loveland, Joanne Taery Kim, Piyush Karande, Anna M. Hiszpanski, Thomas Yong-Jin Han:
Predicting Energetics Materials' Crystalline Density from Chemical Structure by Machine Learning. J. Chem. Inf. Model. 61(5): 2147-2158 (2021) - [i3]Donald Loveland, Shusen Liu, Bhavya Kailkhura, Anna M. Hiszpanski, Yong Han:
Reliable Graph Neural Network Explanations Through Adversarial Training. CoRR abs/2106.13427 (2021) - 2020
- [j2]Anna M. Hiszpanski, Brian Gallagher, Karthik Chellappan, Peggy Li, Shusen Liu, Hyojin Kim, Jinkyu Han, Bhavya Kailkhura, David J. Buttler, Thomas Yong-Jin Han:
Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge. J. Chem. Inf. Model. 60(6): 2876-2887 (2020) - [j1]Donald Loveland, Bhavya Kailkhura, Piyush Karande, Anna M. Hiszpanski, Thomas Yong-Jin Han:
Automated Identification of Molecular Crystals' Packing Motifs. J. Chem. Inf. Model. 60(12): 6147-6154 (2020) - [i2]Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, Thomas Yong-Jin Han:
Actionable Attribution Maps for Scientific Machine Learning. CoRR abs/2006.16533 (2020) - [i1]Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, Thomas Yong-Jin Han:
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design. CoRR abs/2007.08631 (2020)
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