Latest Research
Electroelastic guided wave dispersion in piezoelectric plates: spectral methods and laser-ultrasound experiments
Electroelastic waves in piezoelectric media are widely used in sensing and filtering applications.
Applied Physics Computational Physics 74J05
Theory of Microphase Separation in Elastomers
Inspired by recent experiments, we present a phase-field model of microphase separation in an elastomer swollen with a solvent.
Soft Condensed Matter Materials Science Statistical Mechanics
Finite Element Neural Network Interpolation. Part II: Hybridisation with the Proper Generalised Decomposition for non-linear surrogate modelling
AlexandreDabySeesaram/NeuROM
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The framework is illustrated through linear and non-linear elasticity problems, showing the flexibility of the method in terms of changes in physics.
Computational Physics
PDMD: Potential-free Data-driven Molecular Dynamics for Variable-sized Water Clusters
TACC/PDMD
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Conventional molecular dynamics (MD) simulation approaches, such as ab initio MD and empirical force field MD, face significant trade-offs between physical accuracy and computational efficiency.
Disordered Systems and Neural Networks Chemical Physics
Computing sessile droplet shapes on arbitrary surfaces with a new pairwise force smoothed particle hydrodynamics model
Recently, particle methods, such as pairwise force smoothed particle hydrodynamics (PF-SPH), have been used to conveniently forego explicit enforcement of the contact angle.
Fluid Dynamics Numerical Analysis Numerical Analysis 76-10
Core-periphery detection in multilayer networks
Multilayer networks provide a powerful framework for modeling complex systems that capture different types of interactions between the same set of entities across multiple layers.
Physics and Society Numerical Analysis Numerical Analysis
Method-independent cusps for atomic orbitals in quantum Monte Carlo
We present an approach for augmenting Gaussian atomic orbitals with correct nuclear cusps.
Chemical Physics
From Magic State Distillation to Dynamical Systems
By concatenating efficient codes with exotic codes, we can reduce the overhead of the exotic MSD protocols.
Quantum Physics Mathematical Physics Mathematical Physics
ACE2-SOM: Coupling to a slab ocean and learning the sensitivity of climate to changes in CO$_2$
ai2cm/ace
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With CO$_2$ increasing gradually at a rate of 2% year$^{-1}$, ACE2-SOM can accurately emulate the global annual mean trends of surface and lower-to-middle atmosphere fields but produces unphysical jumps in stratospheric fields.
Atmospheric and Oceanic Physics
A Graph Neural Network Approach to Dispersed Systems
We present a Graph Neural Network (GNN) that accurately simulates a multidisperse suspension of interacting spherical particles.
Computational Physics
