Anna M. Hiszpanski - Publications, H-index & Citations

Anna M. Hiszpanski

Lawrence Livermore National Laboratory

19H指数

65论文数

1.7K被引数

收录论文 30

发表时间

Exploiting Intersubband Plasmons in Vertically Aligned Carbon Nanotubes for Near-Infrared Electrochromic Windows 利用垂直排列碳纳米管中的层间等离激元实现近红外电致变色窗口

Nano Letters

IF9.1

2025-07-25

PREAI

Alex Abelson; Philip M. Jean-Remy; Tom Nakotte; Paul E. Munger; Steven F. Buchsbaum; Sei Jin Park; Anna M. Hiszpanski

Ab Initio Crystal Structure Prediction of the Energetic Materials LLM-105, RDX, and HMX

CRYSTAL GROWTH & DESIGN

IF3.4

2023-08-17

OAAI

O'Connor, Dana; Bier, Imanuel; Tom, Rithwik; Hiszpanski, Anna M.; Steele, Brad A.; Marom, Noa

Deep learning of electrochemical CO2 conversion literature reveals research trends and directions 深度学习电化学CO2转化文献揭示研究趋势和方向

JOURNAL OF MATERIALS CHEMISTRY A

IF9.5

2023-01-01

PREAI

Choi, Jiwoo; Bang, Kihoon; Jang, Suji; Choi, Jaewoong; Ordonez, Juanita; Buttler, David; Hiszpanski, Anna; Yong-Jin Han, T.; Sohn, Seok Su; Lee, Byungju; Lee, Kwang-Ryeol; Han, Sang Soo; Kim, Donghun

Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property Predictions

JOURNAL OF CHEMICAL INFORMATION AND MODELING

IF5.3

2022-10-31

OAAI

Antoniuk, Evan R.; Li, Peggy; Kailkhura, Bhavya; Hiszpanski, Anna M.

Explainable machine learning in materials science 材料科学中的可解释机器学习

NPJ COMPUTATIONAL MATERIALS

IF11.9

2022-09-22

121

OAAI

Zhong, Xiaoting; Gallagher, Brian; Liu, Shusen; Kailkhura, Bhavya; Hiszpanski, Anna; Han, T. Yong-Jin

Attribution-Driven Explanation of the Deep Neural Network Model via Conditional Microstructure Image Synthesis

ACS OMEGA

IF4.3

2022-01-07

OAAI

Liu, Shusen; Kailkhura, Bhavya; Zhang, Jize; Hiszpanski, Anna M.; Robertson, Emily; Loveland, Donald; Zhong, Xiaoting; Han, T. Yong-Jin

Colloidal quantum dot based infrared detectors: extending to the mid-infrared and moving from the lab to the field

JOURNAL OF MATERIALS CHEMISTRY C

IF5.1

2022-01-01

OAAI

Nakotte, Tom; Munyan, Simon G.; Murphy, John W.; Hawks, Steven A.; Kang, ShinYoung; Han, Jinkyu; Hiszpanski, Anna M.

Predicting Energetics Materials' Crystalline Density from Chemical Structure by Machine Learning

JOURNAL OF CHEMICAL INFORMATION AND MODELING

IF5.3

2021-04-26

OAAI

Nguyen, Phan; Loveland, Donald; Kim, Joanne T.; Karande, Piyush; Hiszpanski, Anna M.; Han, T. Yong-Jin

Data-driven materials research enabled by natural language processing and information extraction 基于自然语言处理和信息提取的数据驱动材料研究

APPLIED PHYSICS REVIEWS

IF11.6

2020-12-21

167

OAAI

Olivetti, Elsa A.; Cole, Jacqueline M.; Kim, Edward; Kononova, Olga; Ceder, Gerbrand; Han, Thomas Yong-Jin; Hiszpanski, Anna M.

Automated Identification of Molecular Crystals' Packing Motifs

JOURNAL OF CHEMICAL INFORMATION AND MODELING

IF5.3

2020-11-27

OAAI

Loveland, Donald; Kailkhura, Bhavya; Karande, Piyush; Hiszpanski, Anna M.; Han, T. Yong-Jin

Predicting compressive strength of consolidated molecular solids using computer vision and deep learning

MATERIALS & DESIGN

IF7.9

2020-05-01

OAAI

Gallagher, Brian; Rever, Matthew; Loveland, Donald; Mundhenk, T. Nathan; Beauchamp, Brock; Robertson, Emily; Jaman, Golam G.; Hiszpanski, Anna M.; Han, T. Yong-Jin

Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge

JOURNAL OF CHEMICAL INFORMATION AND MODELING

IF5.3

2020-04-14

OAAI

Hiszpanski, Anna M.; Gallagher, Brian; Chellappan, Karthik; Li, Peggy; Liu, Shusen; Kim, Hyojin; Han, Jinkyu; Kailkhura, Bhavya; Buttler, David J.; Han, Thomas Yong-Jin

Reliable and explainable machine-learning methods for accelerated material discovery 用于加速材料发现的可靠且可解释的机器学习方法

NPJ COMPUTATIONAL MATERIALS

IF11.9

2019-11-14

123

OAAI

Kailkhura, Bhavya; Gallagher, Brian; Kim, Sookyung; Hiszpanski, Anna; Han, T. Yong-Jin

Degradation of ultra-thin boron films in air

APPLIED SURFACE SCIENCE

IF6.9

2018-08-01

OAAI