Data-driven prediction and analysis of chaotic origami dynamics

Discovering Physical Concepts with Neural Networks

(2020) Raban Iten et al.   PHYSICAL REVIEW LETTERS

Bayesian neural networks for flight trajectory prediction and safety assessment

(2020) Xiaoge Zhang et al.   DECISION SUPPORT SYSTEMS

Dynamic morphoskeletons in development

(2020) Mattia Serra et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Origami-based impact mitigation via rarefaction solitary wave creation

(2019) Hiromi Yasuda et al.   Science Advances

Data-driven discovery of coordinates and governing equations

(2019) Kathleen Champion et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Numerical investigation of stress states in buckled laminated composite plates under dynamic loading

(2019) Han-Gyu Kim et al.   COMPOSITE STRUCTURES

Machine learning and the physical sciences

(2019) Giuseppe Carleo et al.   REVIEWS OF MODERN PHYSICS

Wave physics as an analog recurrent neural network

(2019) Tyler W. Hughes et al.   Science Advances

Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach

(2018) Jaideep Pathak et al.   PHYSICAL REVIEW LETTERS

Data-assisted reduced-order modeling of extreme events in complex dynamical systems

(2018) Zhong Yi Wan et al.   PLoS One

Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks

(2018) Pantelis R. Vlachas et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Deep learning algorithm for data-driven simulation of noisy dynamical system

(2018) Kyongmin Yeo et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Nonlinear dynamics of an adaptive origami-stent system

(2017) Guilherme V. Rodrigues et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

Origami-based tunable truss structures for non-volatile mechanical memory operation

(2017) Hiromi Yasuda et al.   Nature Communications

Data-driven discovery of partial differential equations

(2017) Samuel H. Rudy et al.   Science Advances

Bistable Behavior of the Cylindrical Origami Structure With Kresling Pattern

(2015) Cai Jianguo et al.   JOURNAL OF MECHANICAL DESIGN

A review of the recent research on vibration energy harvesting via bistable systems

(2013) R L Harne et al.   Smart Materials and Structures

A heuristic method for identifying chaos from frequency content

(2012) R. Wiebe et al.   CHAOS

Numerical Techniques for Approximating Lyapunov Exponents and Their Implementation

(2010) Luca Dieci et al.   Journal of Computational and Nonlinear Dynamics