Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research Interest Keywords
- Physics-enhanced machine learning
- Data-driven material modeling
- Composite
- Fracture mechanics
- Subsurface flow and transport
- AI in Geoscience
- Soft tissue modeling
- Scientific machine learning
- meshfree methods
- Metamaterials
- computational mechanics
- Reduced-order modeling
- Multiscale modeling
- Topology optimization
- Multiphysics simulation
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The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Using electric vehicle onboard data for pavement quality assessment and management
Marasteanu, M. (PI), He, Q. (CoI) & Stern, R. (CoI)
MN DEPARTMENT OF TRANSPORTATION, US DOT FEDERAL HIGHWAY ADMINISTRATION
7/1/23 → 6/30/25
Project: Research project
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Multiphysics Data Assimilation Framework Based on Process-Aware Neural Operator for Failure Prediction in Additive Manufacturing
8/1/22 → 12/31/23
Project: Internal Grant
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A multi-resolution physics-informed recurrent neural network: formulation and application to musculoskeletal systems
Taneja, K., He, X., He, Q. Z. & Chen, J. S., May 2024, In: Computational Mechanics. 73, 5, p. 1125-1145 21 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics
Du, H. & He, Q. Z., Jul 2024, In: Computer Methods in Applied Mechanics and Engineering. 427, 117024.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
A coupled reinforcement learning and IDAES process modeling framework for automated conceptual design of energy and chemical systems
Wang, D., Bao, J., Zamarripa-Perez, M. A., Paul, B., Chen, Y., Gao, P., Ma, T., Noring, A. A., Iyengar, A. K. S., Schwartz, D. T., Eggleton, E. E., He, Q., Liu, A., Marina, O. A., Koeppel, B. & Xu, Z., Sep 21 2023, In: Energy Advances. 2, 10, p. 1735-1751 17 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A hybrid deep neural operator/finite element method for ice-sheet modeling
He, Q. Z., Perego, M., Howard, A. A., Karniadakis, G. E. & Stinis, P., Nov 1 2023, In: Journal of Computational Physics. 492, 112428.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations -
Improved training of physics-informed neural networks for parabolic differential equations with sharply perturbed initial conditions
Zong, Y., He, Q. Z. & Tartakovsky, A. M., Sep 1 2023, In: Computer Methods in Applied Mechanics and Engineering. 414, 116125.Research output: Contribution to journal › Article › peer-review
Open Access13 Scopus citations