Results 201 to 210 of about 245,006 (326)
Analyzing Large-Scale Multiuser Molecular Communication via 3D Stochastic Geometry
Yansha Deng+4 more
openalex +2 more sources
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang+3 more
wiley +1 more source
Intermolecular Coulombic decay in liquid water competes with proton transfer and non-adiabatic relaxation. [PDF]
Zhang P+5 more
europepmc +1 more source
The Impact of Local Geometry and Batch Size on Stochastic Gradient Descent for Nonconvex Problems
Vivak Patel
openalex +2 more sources
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park+8 more
wiley +1 more source
Partial differential equations in data science. [PDF]
Bertozzi AL+3 more
europepmc +1 more source
UltRAP‐Net: Reverse Approximation of Tissue Properties in Ultrasound Imaging
This study proposes a reverse approximation neural network (UltRAP‐Net) to extract underlying physics‐aware properties using multiple images with distinct appearances obtained at the same location of tissues. Through this robust approximation, the study advances the use of ultrasound images by opening potentials for various applications such as physics‐
Yingqi Li+4 more
wiley +1 more source
Ultrafast entropy production in nonequilibrium magnets. [PDF]
Tietjen F, Geilhufe RM.
europepmc +1 more source