Results 171 to 180 of about 673 (204)
Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness
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
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
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
Programmable Microwaveable Chemistry in the Chemputer
The Chemputer integrates complementary microwave modules under χDL control, enabling fully automated syntheses of O‐alkylation products, Suzuki–Miyaura cross‐couplings, ring‐closing metathesis, and peptide sequences via solid‐phase methods. This modular, programmable platform delivers flexible and scalable microwave‐assisted workflows, broadening ...
Jacopo Zero +5 more
wiley +2 more sources
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
A Theory‐Driven Moderation Strategy for Electrolyte Design Unlocks Stable Aqueous Zinc Deposition
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
Self‐Healing Materials from Electronically Integrated Microscopic Robots
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

