Results 161 to 170 of about 3,159 (258)
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Demonstration of a thermoelectric generator system for low-temperature heat harvesting in fuel cell. [PDF]
Zhang S, Luo L, Zhang X, Zhang H.
europepmc +1 more source
Elastic thermoelectric generators
Shen Xinyi, Luo Jun, Li Wen
openaire +2 more sources
Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh +4 more
wiley +1 more source
Real-Time Wireless Detection of Heavy Metal Ions Using a Self-Powered Triboelectric Nanosensor Integrated with an Autonomous Thermoelectric Generator-Powered Robotic System. [PDF]
Huang YT +8 more
europepmc +1 more source
Wearable multi-sensing double-chain thermoelectric generator. [PDF]
Wen DL +5 more
europepmc +1 more source
Modeling and Characterization of a Self‐Sensing Soft Hydraulic Muscle
This article presents the self‐sensing soft hydraulic muscle (SSHM), a novel soft actuator capable of simultaneously sensing force and length without external sensors. A comprehensive model accurately predicts SSHM behavior, validated experimentally with minimal errors. Using propylene glycol enhances durability and reduces hysteresis.
Nhu An Phan +8 more
wiley +1 more source
A Zn2+‐coordinated BMIM–ZnBr ionogel forms a rigid cationic scaffold and a directed anion‐migration channel, enabling pronounced thermodiffusion and an exceptional ionic Seebeck coefficient of −128 mV K−1, a high power factor of 16.7 µW cm−1 K−2, and a promising ZT of 1.1 at room temperature for harvesting low‐grade heat.
Chenyang Zhang +9 more
wiley +2 more sources
An Effective Flux Framework for Linear Irreversible Heat Engines: Case Study of a Thermoelectric Generator. [PDF]
Kaur J, Johal RS.
europepmc +1 more source
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee +4 more
wiley +1 more source

