Physical Simulations

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

15 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

3 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 52 papers with code (100 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Physics-based Deep Learning
  11 Sep 2021 6 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  This document is a hands-on, comprehensive guide to deep learning in the realm of physical simulations.
• Neural General Circulation Models for Weather and Climate
  13 Nov 2023 3 repositories listed Syntology ran 1 of 10 samples · 9 unverified
  Here we present the first GCM that combines a differentiable solver for atmospheric dynamics with ML components, and show that it can generate forecasts of deterministic weather, ensemble weather and climate on par with…
• DiffTaichi: Differentiable Programming for Physical Simulation
  1 Oct 2019 3 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  We present DiffTaichi, a new differentiable programming language tailored for building high-performance differentiable physical simulators.
• Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
  24 Feb 2025 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Large-scale physical systems defined on irregular grids pose significant scalability challenges for deep learning methods, especially in the presence of long-range interactions and multi-scale coupling.
• Simulation toolkit for digital material characterization of large image-based microstructures
  18 Jan 2023 2 repositories listed
  In this paper, an efficient image-based simulation toolkit for material characterization is presented, which is scalable to work from personal computers to workstations.
• HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
  14 Dec 2022 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  We propose a method that leverages graph neural networks, multi-level message passing, and unsupervised training to enable real-time prediction of realistic clothing dynamics.
• f-SfT: Shape-From-Template With a Physics-Based Deformation Model
  1 Jan 2022 2 repositories listed
  In contrast to previous works, this paper proposes a new SfT approach explaining 2D observations through physical simulations accounting for forces and material properties.
• Update 3.0 to “PuMA: The Porous Microstructure Analysis software”
  19 Jul 2021 2 repositories listed
  A major update of the Porous Microstructure Analysis (PuMA) software is presented.
• Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions
  9 Jun 2025 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We study Diffusion Schr\"odinger Bridge (DSB) models in the context of dynamical astrophysical systems, specifically tackling observational inverse prediction tasks within Giant Molecular Clouds (GMCs) for star…
• Adversarial Manhole: Challenging Monocular Depth Estimation and Semantic Segmentation Models with Patch Attack
  27 Aug 2024 1 repository listed
  Our experiments show that these adversarial patches cause a 43% relative error in MDE and achieve a 96% attack success rate in SS.
• Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale
  26 May 2024 1 repository listed Syntology ran 10 of 17 samples · 7 unverified
  In this paper, we introduce the Crystal Growth Neural Emulator (CGNE), a probabilistic model for efficient crystal growth emulation at the mesoscopic scale that overcomes these challenges.
• Interpolating neural network: A novel unification of machine learning and interpolation theory
  16 Apr 2024 1 repository listed
  Artificial intelligence (AI) has revolutionized software development, shifting from task-specific codes (Software 1.
• Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer
  8 Apr 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Humanoid-Gym is an easy-to-use reinforcement learning (RL) framework based on Nvidia Isaac Gym, designed to train locomotion skills for humanoid robots, emphasizing zero-shot transfer from simulation to the real-world…
• Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics
  25 Mar 2024 1 repository listed Syntology ran 12 of 19 samples · 7 unverified
  Learning physical simulations has been an essential and central aspect of many recent research efforts in machine learning, particularly for Navier-Stokes-based fluid mechanics.
• Urban Sound Propagation: a Benchmark for 1-Step Generative Modeling of Complex Physical Systems
  16 Mar 2024 1 repository listed
  Data-driven modeling of complex physical systems is receiving a growing amount of attention in the simulation and machine learning communities.
• Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
  19 Dec 2023 1 repository listed Syntology ran 12 of 17 samples · 5 unverified · 6 pointer-only (licence)
  These methods are typically designed to i) reduce the computational cost in solving physical dynamics and/or ii) propose techniques to enhance the solution accuracy in fluid and rigid body dynamics.
• Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations
  2 Dec 2023 1 repository listed
  Traditional partial differential equation (PDE) solvers can be computationally expensive, which motivates the development of faster methods, such as reduced-order-models (ROMs).
• Learning the dynamics of a one-dimensional plasma model with graph neural networks
  26 Oct 2023 1 repository listed
  We explore the possibility of fully replacing a plasma physics kinetic simulator with a graph neural network-based simulator.
• TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems
  10 Oct 2023 1 repository listed
  Learning complex multi-agent system dynamics from data is crucial across many domains, such as in physical simulations and material modeling.
• Climate-sensitive Urban Planning through Optimization of Tree Placements
  9 Oct 2023 1 repository listed
  We show the efficacy of our approach across a wide spectrum of study areas and time scales.
• DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
  3 Oct 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Our extensive experiments show that DeepZero achieves state-of-the-art (SOTA) accuracy on ResNet-20 trained on CIFAR-10, approaching FO training performance for the first time.
• Multi-Resolution Active Learning of Fourier Neural Operators
  29 Sep 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  To overcome this problem, we propose Multi-Resolution Active learning of FNO (MRA-FNO), which can dynamically select the input functions and resolutions to lower the data cost as much as possible while optimizing the…
• Predicting Fatigue Crack Growth via Path Slicing and Re-Weighting
  13 Sep 2023 1 repository listed
  Predicting potential risks associated with the fatigue of key structural components is crucial in engineering design.
• Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark
  25 May 2023 1 repository listed
  This paper presents Sim-Suction, a robust object-aware suction grasp policy for mobile manipulation platforms with dynamic camera viewpoints, designed to pick up unknown objects from cluttered environments.
• Grounding Graph Network Simulators using Physical Sensor Observations
  23 Feb 2023 1 repository listed
  Our method results in utilization of additional point cloud information to accurately predict stable simulations where existing Graph Network Simulators fail.
• Neural Cloth Simulation
  13 Dec 2022 1 repository listed
  Here, we propose the first methodology able to learn realistic cloth dynamics unsupervisedly, and henceforth, a general formulation for neural cloth simulation.
• ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field
  23 Nov 2022 1 repository listed
  Physical simulations produce excellent predictions of weather effects.
• Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN
  5 Oct 2022 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  Bi-stride pools nodes on every other frontier of the breadth-first search (BFS), without the need for the manual drawing of coarser meshes and avoiding the wrong edges by spatial proximity.
• LiDAR Snowfall Simulation for Robust 3D Object Detection
  28 Mar 2022 1 repository listed
  Due to the difficulty of collecting and annotating training data in this setting, we propose a physically based method to simulate the effect of snowfall on real clear-weather LiDAR point clouds.
• φ-SfT: Shape-from-Template with a Physics-Based Deformation Model
  22 Mar 2022 1 repository listed
  In contrast to previous works, this paper proposes a new SfT approach explaining 2D observations through physical simulations accounting for forces and material properties.

Syntology lines on 13 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.