Results 161 to 170 of about 7,585,843 (289)
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
Dual-self-learning co-evolutionary algorithm for energy-efficient flexible job shop scheduling problem with processing- transportation composite robots. [PDF]
Zhang M, Zhou M, Zhang L, Zhang Z.
europepmc +1 more source
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu +5 more
wiley +1 more source
A reinforcement learning based memetic algorithm for energy-efficient distributed two-stage flexible job shop scheduling problem. [PDF]
Geng K, Liu L, Wu S.
europepmc +1 more source
The fabrication of wide‐bandgap perovskite thin films via green solvents integrated with inkjet printing is developed. Controlled crystallization of the perovskite layer is achieved by optimizing ink formulation and additive engineering, enabling power conversion efficiencies above 17% for single junctions and 28% for perovskite/silicon tandem solar ...
Uma Kousalya Dangudubiyyam +12 more
wiley +1 more source
Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford +3 more
wiley +1 more source
Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr +6 more
wiley +1 more source
Review of Gastrointestinal Capsule Robots: Materials, Actuation, Diagnostics, and Therapeutics
This review examines gastrointestinal capsule robots through a systems engineering lens, covering shell materials, actuation and localization strategies, diagnostic modalities, therapeutic interventions, and commercialization status. By mapping the complete technological chain from fabrication to clinical deployment, this work identifies critical gaps ...
Zengsheng Li +8 more
wiley +1 more source
A genetic algorithm for solving classical job shop scheduling problems [PDF]
Algabasi, Abdullatif, Maheri, Alireza
core
Stochastic Entanglement of Deterministic Origami Tentacles For Robust Robotic Grasping
This study introduces an origami tentacle gripper to robustly grasp objects‐in air, underwater, and even in orbital space‐by exploiting a synergy between local, deterministic deformation programming and global, stochastic entanglements. A single origami tentacle can be designed to coil with a simple tendon pull.
Alec Boron +4 more
wiley +1 more source

