Results 111 to 120 of about 156 (151)
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 +10 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
Advanced Intelligent Systems, EarlyView.This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
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 +2 more
wiley +1 more source
Angewandte Chemie, EarlyView.An electrochemical α‐C─H functionalization of nitramines enables the synthesis of molecules containing bifunctional energetic heterocycles with promising properties. A telescoped, HNO3‐free sequence involving nitration and azolation steps offers a safer, modular, and scalable platform for the synthesis of energetic compounds.
Wan‐Chen Cindy Lee +4 more
wiley +2 more sources
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 +9 more
wiley +1 more source
A Theory‐Driven Moderation Strategy for Electrolyte Design Unlocks Stable Aqueous Zinc Deposition
Angewandte Chemie, EarlyView.Guided by the Sabatier principle and theoretical calculations, this work establishes a non‐extremum model for additive screening to balance the relationship between additive theoretically properties and the solvation/interface stability in aqueous Zn‐ion battery electrolytes.
Jingyi Wang +9 more
wiley +2 more sources
Dispersion of First Sound in a Weakly Interacting Ultracold Fermi Liquid
Annalen der Physik, EarlyView.The weak‐interaction, low‐temperature region of the phase diagram of a Fermi gas the so‐called Fermi liquid regime, which has been somewhat overlooked in ultracold gases‐is investigated. Precise and measurable predictions are presented for the viscosity and dispersion of first sound to leading order in the scattering length.
Thomas Repplinger +4 more
wiley +1 more source