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Posts by Collection
portfolio
Portfolio item number 2
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publications
Drop impact on small surfaces: thickness and velocity profiles of the expanding sheet in the air
Published in Journal of Fluid Mechanics, 2017
Conducting combined theoretical and experimental investigation into the sheet dynamics of fluid fragmentation upon drop impact
Recommended citation: Y. Wang, L. Bourouiba. "Drop impact on small surfaces: thickness and velocity profiles of the expanding sheet in the air." Journal of Fluid Mechanics, 814, 510-534.
https://doi.org/10.1017/jfm.2017.18
Non-isolated drop impact on surfaces
Published in Journal of Fluid Mechanics, 2018
Discovering the four regimes of interaction upon drop impact on solid surface with a neighbouring sessile droplets and quantify the impact condition for each regimes.
Recommended citation: Y. Wang, L. Bourouiba. (2018). "Non-isolated drop impact on surfaces." Journal of Fluid Mechanics, 755, 24-44.
https://doi.org/10.1017/jfm.2017.755
Universal Rim Thickness in Unsteady Sheet Fragmentation
Published in Physical Review Letters, 2018
Discovering the universal physical law that governs the rim dynamics for various fluid fragmentations
Recommended citation: Y. Wang, R. Dandekar, N. Bustos, S. Poulain, and L. Bourouiba. (2018). "Universal rim thickness in unsteady sheet fragmentation." Physical Review Letters, 120, 204503.
https://doi.org/10.1103/PhysRevLett.120.204503
Unsteady sheet fragmentation: droplet sizes and speeds
Published in Journal of Fluid Mechanics, 2018
Developing high-precision droplet-ligament tracking and linking algorithm to discover the universal local dynamics that governs the droplet breakups from the ligaments during fluid fragmentation
Recommended citation: Y. Wang, L. Bourouiba. (2018). "Unsteady sheet fragmentation: droplet sizes and speeds." Journal of Fluid Mechanics, 848, 946-967.
https://doi.org/10.1017/jfm.2018.359
Growth and breakup of ligaments in unsteady fragmentation
Published in Journal of Fluid Mechanics, 2021
Discovering the mechanism that governs the ligament growth and breakup on destabilized rim during fluid fragmentation
Recommended citation: Y. Wang, L. Bourouiba. (2021) "Growth and breakup of ligaments in unsteady fragmentation." Journal of Fluid Mechanics, 910, A39.
https://doi.org/10.1017/jfm.2020.698
Mass, momentum and energy partitioning in unsteady fragmentation
Published in Journal of Fluid Mechanics, 2022
Conducting a combined theoretical and experiental investigation into quantifying the mass, momentum and energy transfer among different subparts of fluid fragmentation upon drop impact
Recommended citation: Y. Wang, L. Bourouiba. (2022). "Mass, momentum and energy partitioning in unsteady fragmentation, 935, A29.
https://doi.org/10.1017/jfm.2021.625
Non-Galilean Taylor–Culick law governs sheet dynamics in unsteady fragmentation
Published in Journal of Fluid Mechanics, 2023
Discovering the Non-Galilean Taylor-Culick law that governs the sheet expansion during fluid fragmentation upon drop impact
Recommended citation: Y. Wang, L. Bourouiba. (2023). "Non-Galilean Taylor–Culick law governs sheet dynamics in unsteady fragmentation." Journal of Fluid Mechanics, 969, A19.
https://doi.org/10.1017/jfm.2020.519
Asymptotic self-similar blow-up profile for three-dimensional axisymmetric Euler equations using neural networks
Published in Physical Review Letters, 2023
Discovering the self-similar blow-up solutons for 3-D axisymmetric Euler equations using physics-informed neural networks
Recommended citation: Y. Wang, C.-Y. Lai, J.Gómez-Serrano, and T. Buckmaster. (2023). "Asymptotic self-similar blow-up profile for three-dimensional axisymmetric Euler equations using neural networks." Physical Review Letters, 130, 244002.
https://doi.org/10.1103/PhysRevLett.130.244002
Multi-stage Neural Networks: Function Approximator of Machine Precision
Published in Journal of Computational Physics, 2024
Introducing multi-stage training scheme for regression problems and PINNs to reach machine precision.
Recommended citation: Y. Wang, C.-Y. Lai. (2024). "Multi-stage Neural Networks: Function Approximator of Machine Precision." Journal of Computational Physics, 504, 112865.
https://doi.org/10.1016/j.jcp.2024.112865
Euler operators for mis-specified physics-informed neural networks
Published in ICML2024-AI4Science Workshop, 2024
Developing theoretical tools to detect the mis-specfication of inverse problems using PINNs and quantifying the generalized bounds for the mis-specified PINN problems.
Recommended citation: C. Cowen-Breen, Y. Wang, C.-Y. Lai. (2024). "Euler operators for mis-specified physics-informed neural networks." ICML2024-AI4Science Workshop.
https://openreview.net/forum?id=kkGR5fNq2J
Spectrum-informed multistage neural nework: Multiscale function approximator of machine precision
Published in ICML2024-AI4Science Workshop, 2024
Applying spectrum-informed initialization to accelerate multistage neural-network training.
Recommended citation: J. Ng, Y. Wang, C.-Y. Lai. (2024). "Spectrum-informed multistage neural nework: Multiscale function approximator of machine precision." ICML2024-AI4Science Workshop.
https://openreview.net/forum?id=59hdCpJyHx
Theoretical analysis of stress perturbations from a partially-lubricated viscous gravity current
In review at Journal of Fluid Mechanics
Developing theoretical models to quantify the stress perturbation for a viscous gravity current moving over a no-slip boundary with a finite-size slippery patch
Recommended citation: J. Rhines, C.-Y. Lai and Y. Wang. "Theoretical analysis of stress perturbations from a partially-lubricated viscous gravity current." arXiv preprint arXiv:2407.20565.
https://arxiv.org/abs/2407.20565
Theoretical stability of ice shelf basal crevasses with a vertical temperature profile
Published in Journal of Glaciology, 2024
Investigating the effect of temperature on the thresholding stress that can destabilize the basal crevasses to form rifts.
Recommended citation: N. B. Coffey, C.-Y. Lai, Y. Wang, et al. (2024). "Theoretical stability of ice shelf basal crevasses with a vertical temperature profile." Accepted at Journal of Glaciology.
https://doi.org/10.22541/essoar.169945580.00204993/v1
Deep learning the flow law of Antarctic ice shelves
Published in Science, 2025
Discovering the ice-shelf viscosity map and the underlying rheology via physics-informed deep learning
Recommended citation: Y. Wang, C.-Y. Lai, D. J. Prior, and C. Cowen-Breen. "Deep learning the flow law of Antarctic ice shelves." Science, 387, 1219-1224.
https://doi.org/10.1126/science.adp3300
Differentiable neural-network solver for data assimilation of ice shelves in JAX
Published in Journal of Open Source Software, 2025
Developing a differentiable neural-network solver for data assimilation of ICE shelves written in JAX.
Recommended citation: Y. Wang and C.-Y. Lai. (2025). "Differentiable neural-network solver for data assimilation of ice shelves in JAX." Journal of Open Source Software, 10, 7254.
https://doi.org/10.21105/joss.07254
talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Multi-stage neural networks for discovering self-similar blow-up solutions
Published:
Presenting the publication of Multistage Neural Networks and its application on discovering self-similar blow-up solutions to various fluid equations.
Multi-stage neural networks achieving machine precision
Published:
Presenting the publication of Multi-stage Neural Networks and discussing its general applications.
Recent Progress in Physics-Informed Neural Networks for Self-Similar Blow-Up Solutions
Published:
Talking about recently-developed advanced PINNs techniques that enables the discovery of self-similar blow-up solutions to various fluid equations with high precision.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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