Lu Lu

15PUBLICATIONS
22CO-AUTHORS
Numerical solution of differential and integral equationsComputational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)Process control and simulationNumerical modelling and mechanical characterisationReceptors and membrane biology
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Publications (15)

|Apr 28, 2026
NOEM: efficient and scalable finite element method enabled by reusable neural operators.

|Apr 26, 2026
FunDiff: diffusion models over function spaces for physics-informed generative modeling.

|Sep 25, 2025
One-shot learning for solution operators of partial differential equations.

Anran Jiao, Haiyang He, Rishikesh Ranade

|Jul 14, 2025
Neural Topology Optimization Via Active Learning for Efficient Channel Design in Turbulent Mass Transfer.

Chenhui Kou, Yuhui Yin, Min Zhu

|Dec 09, 2024
A scalable framework for learning the geometry-dependent solution operators of partial differential equations.

Minglang Yin, Nicolas Charon, Ryan Brody

|Aug 02, 2024
Identifying Heterogeneous Micromechanical Properties of Biological Tissues via Physics-Informed Neural Networks.

Wensi Wu, Mitchell Daneker, Kevin T Turner

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Frequent Collaborators

7 joint publications

George Em Karniadakis

3 joint publications

Ming Dao

1 joint publications

Zhen Li

1 joint publications

Xuejin Li