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Anna M. Hiszpanski

Observed names: A. M. Hiszpanski, A.M. Hiszpanski, Anna Hiszpanski, Anna M Hiszpanski, Hiszpanski, A.M., Hiszpanski, Anna, Hiszpanski, Anna M., Hiszpanski, Anna Maria
ORCID: 0000-0002-2705-3263
Observed ORCID: 0000-0002-2705-3263
OpenAlex ID: A5057088606
Explainable machine learning in materials science
2022 · Xiaoting Zhong, Brian Gallagher, et al. · npj Computational Materials · 543
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Data-driven materials research enabled by natural language processing and information extraction
2020 · Elsa A. Olivetti, Jacqueline M. Cole, et al. · Applied Physics Reviews · 325
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Reliable and explainable machine-learning methods for accelerated material discovery
2019 · Bhavya Kailkhura, Brian Gallagher, et al. · npj Computational Materials · 213
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Using Self-Organization To Control Morphology in Molecular Photovoltaics
2013 · Seok Ju Kang, Seokhoon Ahn, et al. · Journal of the American Chemical Society · 135
Tuning Polymorphism and Orientation in Organic Semiconductor Thin Films via Post-deposition Processing
2014 · Anna M. Hiszpanski, Robin M. Baur, et al. · Journal of the American Chemical Society · 100
Directing the film structure of organic semiconductors via post-deposition processing for transistor and solar cell applications
2013 · Anna M. Hiszpanski, Yueh-Lin Loo · Energy & Environmental Science · 86
Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property Predictions
2022 · Evan R. Antoniuk, Peggy Li, et al. · Journal of Chemical Information and Modeling · 81
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Predicting Energetics Materials’ Crystalline Density from Chemical Structure by Machine Learning
2021 · Phan Nguyen, Donald Loveland, et al. · Journal of Chemical Information and Modeling · 76
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Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge
2020 · Anna M. Hiszpanski, Brian Gallagher, et al. · Journal of Chemical Information and Modeling · 68
Halogenation of a Nonplanar Molecular Semiconductor to Tune Energy Levels and Bandgaps for Electron Transport
2015 · Anna M. Hiszpanski, Jonathan D. Saathoff, et al. · Chemistry of Materials · 60
Post-deposition Processing Methods To Induce Preferential Orientation in Contorted Hexabenzocoronene Thin Films
2012 · Anna M. Hiszpanski, Stephanie S. Lee, et al. · ACS Nano · 52
Colloidal quantum dot based infrared detectors: extending to the mid-infrared and moving from the lab to the field
2021 · Tom Nakotte, Simon G. Munyan, et al. · Journal of Materials Chemistry C · 47
Predicting compressive strength of consolidated molecular solids using computer vision and deep learning
2020 · Brian Gallagher, Matthew Rever, et al. · Materials & Design · 47
Unusual Molecular Conformations in Fluorinated, Contorted Hexabenzocoronenes
2010 · Yueh-Lin Loo, Anna M. Hiszpanski, et al. · Organic Letters · 43
Metal nanocluster light-emitting devices with suppressed parasitic emission and improved efficiency: exploring the impact of photophysical properties
2015 · T.-W. Koh, A. M. Hiszpanski, et al. · Nanoscale · 42
The Diffraction Pattern Calculator(DPC) toolkit: a user-friendly approach to unit-cell lattice parameter identification of two-dimensional grazing-incidence wide-angle X-ray scattering data
2014 · Anna K. Hailey, Anna M. Hiszpanski, et al. · Journal of Applied Crystallography · 34
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Structure–Property Relationship Study of Substitution Effects on Isoindigo-Based Model Compounds as Electron Donors in Organic Solar Cells
2014 · Yi Ren, Anna M. Hiszpanski, et al. · ACS Applied Materials & Interfaces · 34
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Isoindigo-Containing Molecular Semiconductors: Effect of Backbone Extension on Molecular Organization and Organic Solar Cell Performance
2014 · Yi Ren, Anna K. Hailey, et al. · Chemistry of Materials · 33
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Design Rules for Tailoring Antireflection Properties of Hierarchical Optical Structures
2017 · Juan J. Diaz Leon, Anna M. Hiszpanski, et al. · Advanced Optical Materials · 28
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Crystal structure prediction of energetic materials and a twisted arene with Genarris and GAtor
2021 · Imanuel Bier, Dana O'Connor, et al. · CrystEngComm · 26
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BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models
2025 · Evan Antoniuk, Shehtab Zaman, et al. · neural information processing systems · 23
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Deep learning of electrochemical CO 2 conversion literature reveals research trends and directions
2023 · Jiwoo Choi, Kihoon Bang, et al. · Journal of Materials Chemistry A · 18
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Altering the Polymorphic Accessibility of Polycyclic Aromatic Hydrocarbons with Fluorination
2017 · Anna M. Hiszpanski, Arthur R. Woll, et al. · Chemistry of Materials · 18
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Active learning enables generation of molecules that advance the known Pareto front
2026 · Evan R. Antoniuk, Peggy Li, et al. · npj Computational Materials · 15
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Ab Initio Crystal Structure Prediction of the Energetic Materials LLM-105, RDX, and HMX
2023 · Dana O’Connor, Imanuel Bier, et al. · Crystal Growth & Design · 15
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Works count: 61
Citation count: 2,285
H-index: 21
I10-index: 31
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