Henry Chan

According to our database, Henry Chan authored at least 12 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AutoMOOSE: An Agentic AI for Autonomous Phase-Field Simulation.

Sukriti Manna, Henry Chan, Subramanian K. R. S. Sankaranarayanan

CoRR, March, 2026

Physics-Informed Tree Search for High-Dimensional Computational Design.

Suvo Banik, Troy D. Loeffler, Henry Chan, Sukriti Manna, Orcun Yildiz, Tom Peterka, Subramanian Sankaranarayanan

CoRR, January, 2026

2025

Comparison of Deterministic and Probabilistic Machine Learning Algorithms for Precise Dimensional Control and Uncertainty Quantification in Additive Manufacturing.

Dipayan Sanpui, Anirban Chandra, Henry Chan, Sukriti Manna, Subramanian K. R. S. Sankaranarayanan

CoRR, September, 2025

Adaptive AI decision interface for autonomous electronic material discovery.

Yahao Dai, Henry Chan, Aikaterini Vriza, Fredrick Kim, Yunfei Wang, Wei Liu, Naisong Shan, Jing Xu, Max Weires, Yukun Wu, Zhiqiang Cao, C. Suzanne Miller, Ralu Divan, Xiaodan Gu, Chenhui Zhu, Sihong Wang, Jie Xu

CoRR, April, 2025

2024

Automated defect identification in coherent diffraction imaging with smart continual learning.

Orcun Yildiz, Krishnan Raghavan, Henry Chan, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka

Neural Comput. Appl., December, 2024

2023

Opportunities for Retrieval and Tool Augmented Large Language Models in Scientific Facilities.

Michael H. Prince, Henry Chan, Aikaterini Vriza, Tao Zhou, Varuni K. Sastry, Matthew T. Dearing, Ross J. Harder, Rama K. Vasudevan, Mathew J. Cherukara

CoRR, 2023

2022

Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging.

Orcun Yildiz, Henry Chan, Krishnan Raghavan, William Judge, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka

Proceedings of the IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, 2022

2021

AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Coherent Imaging.

Yudong Yao, Henry Chan, Subramanian Sankaranarayanan, Prasanna Balaprakash, Ross J. Harder, Mathew J. Cherukara

CoRR, 2021

2020

Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning.

Henry Chan, Youssef S. G. Nashed, Saugat Kandel, Stephan Hruszkewycz, Subramanian Sankaranarayanan, Ross J. Harder, Mathew J. Cherukara

CoRR, 2020

BLAST: Bridging Length/time scales via Atomistic Simulation Toolkit.

Henry Chan, Badri Narayanan, Mathew J. Cherukara, Troy D. Loeffler, Michael G. Sternberg, Anthony Avarca, Subramanian K. R. S. Sankaranarayanan

CoRR, 2020

2019

Heterogeneous Hierarchical Workflow Composition.

Orcun Yildiz, Jorge Ejarque, Henry Chan, Subramanian Sankaranarayanan, Rosa M. Badia, Tom Peterka

Comput. Sci. Eng., 2019

2018

Fast mosquito acoustic detection with field cup recordings: an initial investigation.

Yunpeng Li, Ivan Kiskin, Marianne Sinka, Davide Zilli, Henry Chan, Eva Herreros-Moya, Theeraphap Chareonviriyaphap, Rungarun Tisgratog, Kathy Willis, Stephen J. Roberts

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018