001 UNATE: UNsupervised ATomic Embedding for crystal structures property prediction arXiv Paper Laura Sola-Garcia, Àlex Solé et al. May 25 002 Forward Dynamics of Variable Topology Mechanisms - The Case of Constraint Activation arXiv Paper Andreas Mueller Apr 21 003 From Kepler to Newton: Inductive Biases Guide Learned World Models in Transformers arXiv Paper Ziming Liu et al. Feb 6 004 Equilibrium Propagation for Non-Conservative Systems arXiv Paper Antonino Emanuele Scurria et al. Feb 3 005 A Physical Theory of Backpropagation: Exact Gradients from the Least-Action Principle arXiv Paper A. Scurria Feb 2 006 Fitting magnetization data using continued fraction of straight lines arXiv Paper Vijay Prakash S Dec 11, 2025 007 Parametric Design of a Cable-Driven Coaxial Spherical Parallel Mechanism for Ultrasound Scans arXiv Paper Maryam Seraj et al. Dec 7, 2025 008 Is Phase Really Needed for Weakly-Supervised Dereverberation ? arXiv Paper Marius Rodrigues, Louis Bahrman et al. Nov 20, 2025 009 Universality of physical neural networks with multivariate nonlinearity arXiv Paper Benjamin Savinson, David J. Norris et al. Sep 6, 2025 010 An $O(n$)-Algorithm for the Higher-Order Kinematics and Inverse Dynamics of Serial Manipulators using Spatial Representation of Twists arXiv Paper Andreas Mueller Jun 12, 2025 011 Impacts between multibody systems and deformable structures arXiv Paper Lipinski Krzysztof Jun 10, 2025 012 Constants of motion network revisited arXiv Paper Wenqi Fang et al. Apr 13, 2025 013 AI-Newton: A Concept-Driven Physical Law Discovery System without Prior Physical Knowledge arXiv Paper You-Le Fang et al. Apr 2, 2025 014 Hamiltonian-based neural networks for systems under nonholonomic constraints arXiv Paper T. IgnacioPuiggros, A. Phani Dec 4, 2024 015 Continuous Design and Reprogramming of Totimorphic Structures for Space Applications arXiv Paper Dominik Dold et al. Nov 22, 2024 016 Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics? arXiv Paper Tae-Geun Kim et al. Oct 28, 2024 017 Bi-stable thin soft robot for in-plane locomotion in narrow space arXiv Paper Xi Wang et al. Sep 30, 2024 018 Variational approach to nonholonomic and inequality-constrained mechanics arXiv Paper A. Rothkopf et al. Sep 17, 2024 019 EMVD dataset: a dataset of extreme vocal distortion techniques used in heavy metal arXiv Paper Modan Tailleur et al. Jun 24, 2024 020 New Reservoir Computing Kernel Based on Chaotic Chua Circuit and Investigating Application to Post-Quantum Cryptography arXiv Paper Matthew John Cossins, Sendy Phang Jun 18, 2024 021 A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems arXiv Paper Victor Matray, Faisal Amlani et al. Jun 3, 2024 022 Energy-conserving intermittent-contact motion in complex models arXiv Paper Sergey Pankov Feb 25, 2024 023 The Physics of Learning: From Autoencoders to Truly Autonomous Learning Machines arXiv Paper Alex Ushveridze Feb 12, 2024 024 A new economic and financial theory of money arXiv Paper Michael E. Glinsky et al. Oct 8, 2023 025 Generative Diffusion From An Action Principle arXiv Paper Akhil Premkumar Oct 6, 2023 026 On Physical Origins of Learning arXiv Paper Alex Ushveridze Jul 27, 2023 027 Input Decoupling of Lagrangian Systems via Coordinate Transformation: General Characterization and its Application to Soft Robotics arXiv Paper Pietro Pustina, C. D. Santina et al. Jun 12, 2023 028 Discovering New Interpretable Conservation Laws as Sparse Invariants arXiv Paper Ziming Liu et al. May 31, 2023 029 Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks arXiv Paper Qiyu Kang, Kai Zhao et al. May 30, 2023 030 Hamel's Equations and Geometric Mechanics of Constrained and Floating Multibody and Space Systems arXiv Paper Andreas Mueller May 9, 2023 031 Pendulum Actuated Spherical Robot: Dynamic Modeling & Analysis for Wobble & Precession arXiv Paper Animesh Singhal, Sahil Modi et al. Jan 14, 2023 032 Continuous Methods : Adaptively intrusive reduced order model closure arXiv Paper Emmanuel Menier et al. Nov 30, 2022 033 Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General Relativity arXiv Paper Benyamin Ghojogh, Smriti Sharma Oct 30, 2022 034 Data-driven soliton mappings for integrable fractional nonlinear wave equations via deep learning with Fourier neural operator arXiv Paper Ming Zhong, Zhenya Yan Aug 29, 2022 035 Constants of motion network arXiv Paper Muhammad Kasim, Yi Heng Lim Aug 22, 2022 036 Deep Machine Learning Reconstructing Lattice Topology with Strong Thermal Fluctuations arXiv Paper Xiao-Han Wang, Peilu Shi et al. Aug 8, 2022 037 Benchmarking Bayesian neural networks and evaluation metrics for regression tasks arXiv Paper Brian Staber, Sébastien da Veiga Jun 8, 2022 038 Towards Understanding Grokking: An Effective Theory of Representation Learning arXiv Paper Ziming Liu, Ouail Kitouni et al. May 20, 2022 039 AI Poincaré 2.0: Machine Learning Conservation Laws from Differential Equations arXiv Paper Ziming Liu, Varun Madhavan et al. Mar 23, 2022 040 Analytic Solutions for Wheeled Mobile Manipulator Supporting Forces arXiv Paper Goran R. Petrović et al. Feb 21, 2022 041 Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning arXiv Paper Ziming Liu et al. Sep 28, 2021 042 Machine-learning hidden symmetries arXiv Paper Ziming Liu, Max Tegmark Sep 20, 2021 043 Mean absorption estimation from room impulse responses using virtually supervised learning arXiv Paper C. Foy, Antoine Deleforge et al. Sep 1, 2021 044 A deep learning approach for inverse design of the metasurface for dual-polarized waves arXiv Paper F. Ghorbani, Javad Shabanpour et al. May 12, 2021 045 Deep learning in physics: a study of dielectric quasi-cubic particles in a uniform electric field arXiv Paper Zhe Wang, C. Guet May 11, 2021 046 Discovering conservation laws from trajectories via machine learning arXiv Paper Seungwoong Ha, Hawoong Jeong Feb 8, 2021 047 Global minimization via classical tunneling assisted by collective force field formation arXiv Paper Francesco Caravelli et al. Feb 5, 2021 048 AdS/Deep-Learning made easy: simple examples arXiv Paper Keun-Young Kim, Mugeon Song et al. Nov 27, 2020 049 Learning Principle of Least Action with Reinforcement Learning arXiv Paper Zehao Jin, Joshua Yao-Yu Lin et al. Nov 24, 2020 050 A robust solution of a statistical inverse problem in multiscale computational mechanics using an artificial neural network arXiv Paper F. Pled, C. Desceliers et al. Nov 16, 2020 051 AI Poincaré: Machine Learning Conservation Laws from Trajectories arXiv Paper Ziming Liu, Max Tegmark Nov 9, 2020 052 A Possible Method of Carbon Deposit Mapping on Plasma Facing Components Using Infrared Thermography arXiv Paper R Mitteau et al. Sep 25, 2020 053 Input-Shaping for Feed-Forward Control of Cable-Driven Parallel Robots arXiv Paper Sana Baklouti et al. Sep 9, 2020 054 Thermal deflection decoupled 6-DOF pose measurement of hexapods arXiv Paper Vinayak Jagannathrao Kalas et al. Jun 8, 2020 055 Random number generation & distribution out of thin (or thick) air arXiv Paper Nicholas Bornman et al. Nov 5, 2019 056 Machine-learning techniques for the optimal design of acoustic metamaterials arXiv Paper A. Bacigalupo, G. Gnecco et al. Aug 28, 2019 057 Learning and Interpreting Potentials for Classical Hamiltonian Systems arXiv Paper Harish S. Bhat Jul 26, 2019 058 Discovery of Physics from Data: Universal Laws and Discrepancies arXiv Paper Brian M. de Silva et al. Jun 19, 2019 059 The Newton Scheme for Deep Learning arXiv Paper Junqing Qiu, G. Zhong et al. Oct 16, 2018 060 The dynamics of scattering in undulatory active collisions arXiv Paper Jennifer M. Rieser et al. Dec 1, 2017