Results 131 to 140 of about 175 (172)

Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness

Advanced Intelligent Discovery, EarlyView.
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng, Jianan Tang, Ningxuan Wen, Jason Shaw, Siddhartha Sarkar, Lionel Vargas‐Gonzalez, Nicholas Ku, Jianhua Tong, Rajendra K. Bordia, Dongsheng Li, Fei Peng   +10 more
wiley   +1 more source

Widened Attention‐Enhanced Atrous Convolutional Network for Efficient Embedded Vision Applications under Resource Constraints

Advanced Intelligent Systems, EarlyView.
The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus, Mahdi Abdelguerfi, Kendall N. Niles, Ken Pathak, Joe Tom   +4 more
wiley   +1 more source

Multifunctional Position and Stiffness Control of Soft Fluidic Actuators Using Supercooled Liquid

Advanced Intelligent Systems, EarlyView.
This work explores the use of supercooled liquid as a multifunctional working fluid for soft actuators to allow independent control of position and stiffness; the solution is used to both inflate the elastomer chambers while in liquid state and to achieve a dramatic increase in stiffness (up to 13 times) with rapid, reversible crystallization.
Hoseung Seo, Michael T. Tolley
wiley   +1 more source

Decreasing the Cost of Morphing in Adaptive Morphogenetic Robots

Advanced Intelligent Systems, EarlyView.
Shape‐morphing propulsive limbs enhance locomotion across land‐to‐water transitions, but prior designs rely on thermally responsive components, coupling performance to environmental temperature. This study introduces a pressure‐responsive mechanism that reduces morphing energy costs, enables rapid transitions, and minimizes failure modes.
Luis A. Ramirez, Robert Baines, Bilige Yang, Rebecca Kramer‐Bottiglio   +3 more
wiley   +1 more source

Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars

Advanced Intelligent Systems, EarlyView.
The knapsack problem, a nondeterministic polynomial‐time (NP)‐hard combinatorial optimization problem, is solved energy‐efficiently. This work presents an algorithm‐hardware co‐design and implementation for practical (non‐ideal) NP‐hard problems with destabilizing self‐feedback (non‐zero diagonal) and non‐binary Hamiltonian representations under analog
Jinzhan Li, Suhas Kumar, Su‐in Yi
wiley   +1 more source

Torque‐Transmitting Architected Metamaterials for Flexible and Extendable Tubular Robotics

Advanced Intelligent Systems, EarlyView.
Soft and continuum robots commonly rely on fluid, tendon, or rod‐based power transmissions, to control robotic form and actuation. This study presents an architected structure, based on patterned straight‐line mechanisms, that enables simultaneous bending, extending, and torsionally rigid (BETR) transmission.
Sawyer Thomas, Aman Garg, Jeffery Lipton
wiley   +1 more source

Self‐Healing Materials from Electronically Integrated Microscopic Robots

Advanced Intelligent Systems, EarlyView.
Submillimeter robots can use electronically controlled electrodeposition to assemble into a material structure. The resulting aggregate possesses ultralow density, high strength‐to‐weight ratio, and can heal from damage. Further afield, these results clear a path to materials that organize or adapt by directing matter and information at the microscale.
Lucas C. Hanson, William H. Reinhardt, Marc Z. Miskin   +2 more
wiley   +1 more source

Printed Zinc Tin Oxide Memristors for Reservoir Computing

Advanced Intelligent Systems, EarlyView.
Fully patterned zinc tin oxide memristors produced mostly with printing techniques that is programmed for physical reservoir computing. MNIST handwriting dataset is used to program the memristor and a 4‐bit and a 5‐bit cell. In this work, fully patterned zinc tin oxide (ZTO) memristors are introduced using inkjet printing.
Raquel Azevedo Martins, Carlos Silva, Jonas Deuermeier, Gianluca Milano, Mateo Rosero‐Realpe, Carolina Parreira, Elvira Fortunato, Rodrigo Martins, Asal Kiazadeh, Emanuel Carlos   +9 more
wiley   +1 more source

Maternal Sirolimus Treatment Reverses Cardiac Rhabdomyoma‐Induced Hydrops Fetalis in a Twin Gestation With Tuberous Sclerosis Complex

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Cardiac rhabdomyomas are often the presenting sign of tuberous sclerosis complex (TSC). Prior reports have shown that maternal sirolimus treatment can reduce rhabdomyomas. We used maternal sirolimus to reverse hydrops fetalis due to a massive cardiac rhabdomyoma in a twin gestation.
David M. Ritter, Kristin Schneider, Nkiru Ezeakudo, Darcy A. Krueger, Tomoyuki Mizuno, Timothy K. Knilans, David N. Franz   +6 more
wiley   +1 more source

Analytical Solutions of the Driven Time‐Dependent Jaynes–Cummings Model

Annalen der Physik, EarlyView.
Following the great strides made in the last decade towards the control and tunability of physical parameters in cavity quantum electrodynamics, this study presents new solutions to the dynamics of the time‐dependent Jaynes–Cummings model with variable external classical fields acting on the two‐level system and the quantized field mode.
Antonio Vidiella‐Barranco, Antonio Sérgio Magalhães de Castro, Alessandro Sergi, José Antonio Roversi, Antonino Messina, Agostino Migliore   +5 more
wiley   +1 more source