research

USACM Student Chapter Monthly Seminar.

Thursday, March 27, at 4PM - 5PM (Eastern time - New York). 

Speaker: Yifan Du, Johns Hopkins University

Title: The Evolutional deep neural network for time dependent PDEs

Fusion-based manufacturing techniques, such as laser welding and additive manufacturing, are revolutionising how we produce complex components across industries. Yet, one critical challenge persists: how do we reliably control and predict melt-pool behaviour to ensure high-quality outcomes? This question was at the heart of my PhD research, completed at Delft University of Technology in the Netherlands.

I am pleased to share our newest open-access article just published in #ActaMaterialia. 

While stacked objects are ubiquitous, there are few works devoted to modeling their dynamics. In a new paper “On the Dynamics of a Collapsing Stack of Blocks”, coauthored with Theresa Honein we use a generalized alpha numerical method developed by Capobianco et al [1] to simulate the collapse. The examples we consider include the Leaning Tower of Lyre and the collapse of a stack of blocks that is produced by harmonic excitation of a foundation.

Dear colleagues,

Dear Colleagues,

I am sharing a recent paper titled "Designing Physicochemically‐Ordered Interphases for High‐Performance Composites" published in Advanced Functional Materials. Here is the link to the paper:  https://doi.org/10.1002/adfm.202502972

I am happy to share our recent paper published in Cell Reports Physical Science: Inhomogeneous substrate strain-driven long-range cellular patterning

Smart soft materials have gained increasing attention in recent years because of their adaptive behaviors to external multi-physics stimuli, enabling diverse applications across multiple fields. Here, we show programmable wrinkling morphological patterns on liquid crystal network (LCN) bilayers bonded to compliant substrates under thermal load, by tuning the orientation of directors between LCN bilayers. We propose a solid-shell formulation that merges enhanced and natural assumed strain approaches to investigate the pattern formation and morphological transition of LCN bilayers.

Liquid crystal elastomers (LCEs), as a unique class of smart soft materials combining the properties of liquid crystals and hyperelasticity, are capable of rapid, anisotropic, and reversible deformations in response to mechanical, thermal or optical stimuli. Here, we report a hitherto unknown stretching-induced twisting behavior of LCE bilayer strips. Under uniaxial stretching, we reveal that due to the spontaneous mismatch strain arising from interlayer anisotropy, the bilayer strips exhibit notable twisting deformations.

Our latest paper, " Exploring the Effects of Temperature, Transverse Pressure, and Strain Rate on Axial Tensile Behavior of Perfect UHMWPE Crystals Using Molecular Dynamics," is accessible freely for 50 days from this link: https://authors.elsevier.com/a/1kT-A4rCEkw1es

The key findings can be summarized as follows:

• Elevated temperatures significantly reduce the strength of UHMWPE crystals, with the reduction in strength being more pronounced than that in modulus.