Results 281 to 290 of about 63,696 (324)

Kinetically Consistent Coarse Graining Using Kernel-Based Extended Dynamic Mode Decomposition. [PDF]

J Chem Theory Comput
Nateghi V, Nüske F.
europepmc   +1 more source

Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach

Advanced Intelligent Systems, EarlyView.
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera, Sanmeel Lagad, Rolf Müller   +2 more
wiley   +1 more source

Speed up Multi-Scale Force-Field Parameter Optimization by Substituting Molecular Dynamics Calculations with a Machine Learning Surrogate Model. [PDF]

Chemphyschem
Strickstrock R, Hagg A, Reith D, Kirschner KN.   +3 more
europepmc   +1 more source

Haptic Perception via the Dynamics of a Flexible Body Inspired by an Ostrich's Neck

Advanced Intelligent Systems, EarlyView.
Inspired by avian anatomy, this study uses a flexible robotic neck to investigate haptic perception driven by musculoskeletal dynamics. By applying physical reservoir computing, the robot encodes external force interactions into its body dynamics, allowing effective object classification.
Kazashi Nakano, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model. [PDF]

Proc Natl Acad Sci U S A
Chau HY, Miller KD, Palmigiano A.
europepmc   +1 more source

Generative Adversarial Framework to Calibrate Excursion Set Models for the 3D Morphology of All‐Solid‐State Battery Cathodes

Advanced Intelligent Systems, EarlyView.
Worklow for calibrating excursion sets of random fields using methods from generative artificial intelligence. This article presents a computational method for generating virtual 3D morphologies of functional materials using low‐parametric stochastic geometry models, that is, digital twins, calibrated with 2D microscopy images.
Orkun Furat, Sabrina Weber, Anina Dufter, Johannes Schubert, René Rekers, Maximilian Luczak, Erik Glatt, Andreas Wiegmann, Jürgen Janek, Anja Bielefeld, Volker Schmidt   +10 more
wiley   +1 more source

Fast and Fourier features for transfer learning of interatomic potentials. [PDF]

NPJ Comput Mater
Novelli P, Meanti G, Buigues PJ, Rosasco L, Parrinello M, Pontil M, Bonati L.   +6 more
europepmc   +1 more source

Elastic Fast Marching Learning from Demonstration

Advanced Intelligent Systems, EarlyView.
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados, Brendan Hertel, Ramon Barber, Reza Azadeh   +3 more
wiley   +1 more source

Evaluating and Improving Light Absorption Retrievals of Black Carbon Using In Situ Polar Nephelometry. [PDF]

Environ Sci Technol
Xu Q, Bertozzi B, Modini RL, Brem BT, Müller T, Romshoo B, Mohr C, Gysel-Beer M.   +7 more
europepmc   +1 more source