Physical Simulations
38 papers with code • 0 benchmarks • 9 datasets
Benchmarks
These leaderboards are used to track progress in Physical Simulations
Datasets
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ABC Dataset
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PlasticineLab
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CAMELS Multifield Dataset
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ClimART
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Expressive Gaussian mixture models for high-dimensional statistical modelling: simulated data and neural network model files
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A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances
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2D_NACA_RANS
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Workshop Tools Dataset
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DrivAerNet
Most implemented papers
Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics
Process optimization of photovoltaic devices is a time-intensive, trial-and-error endeavor, which lacks full transparency of the underlying physics and relies on user-imposed constraints that may or may not lead to a global optimum.
Molecular Insights from Conformational Ensembles via Machine Learning
Biomolecular simulations are intrinsically high dimensional and generate noisy data sets of ever-increasing size.
DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials
DeePore is a deep learning workflow for rapid estimation of a wide range of porous material properties based on the binarized micro-tomography images.
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
Graphs are one of the most important data structures for representing pairwise relations between objects.
CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated Annealing
As a main result, we show that a gradual decrease of the momentum coefficient from the initial value close to unity until zero is equivalent to application of Simulated Annealing or slow cooling, in physical terms.
METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design
In answer, we posit that a smaller yet diverse set of unit cells leads to scalable search and unbiased learning.
Can I Pour into It? Robot Imagining Open Containability Affordance of Previously Unseen Objects via Physical Simulations
In this letter, we propose a novel method for robots to "imagine" the open containability affordance of a previously unseen object via physical simulations.
Investigating the relation between chaos and the three body problem
We review the properties of fractals, the Mandelbrot set and how deterministic chaos ties to the picture.
$ξ$-torch: differentiable scientific computing library
xitorch/xitorch
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In this work, we present $\xi$-torch, a library of differentiable functionals for scientific simulations.
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
xingyuansun/amorsyn
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NeurIPS 2021
We compare our approach to direct optimization of the design using the learned surrogate, and to supervised learning of the synthesis problem.
