Results 151 to 160 of about 20,438 (268)

An <i>n</i>-Type Ionic Thermoelectric Device Enabled by Synergistic Interactions Between Electrodes and PVA Hydrogel. [PDF]

Materials (Basel)
Ye C, Shan X.
europepmc   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
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

First-principles insights into the structural stability, spin-polarized electronic structure, and multifunctional properties of actinide antimonides U₃TSb₅ [T = Cr, Mn, Ti, and V]. [PDF]

RSC Adv
Kumar A.
europepmc   +1 more source

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

Advanced Intelligent Discovery, EarlyView.
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, Anton Bolyachkin, Hajime Nakamura, Tadakatsu Ohkubo, Hossein Sepehri‐Amin   +4 more
wiley   +1 more source

Confinement-induced giant ionic thermovoltage at minimal temperature gradients via series-integrated micro-thermoelectric cells in hierarchical hydrogels. [PDF]

Natl Sci Rev
Fu M, Yuan Y, Hu F, Xu L, Zhao D, Yue K.
europepmc   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

Research on Thermoelectric and Optoelectronic Properties of Two-Dimensional VSi₂N₄, VGe₂N₄, and Janus VSiGeN₄. [PDF]

ACS Omega
You Q, Chao L, Liu J, He S, Qiao J, Ma Y, Shang Y, Zhang M.   +7 more
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

First-Principles Insights into the Structural, Electronic, Optical, and Thermoelectric Properties of Novel Halide Double Perovskites Rb₂InCuX₆ (X = F, Cl, Br). [PDF]

Nanomaterials (Basel)
Israr N, Zhu P, Ali F, Maroof Z, He S, Wu P, Lu H, Sun W, Wu Z, Yuan F.   +9 more
europepmc   +1 more source

Bi₂Te₃-Based Thermoelectric Films Fabricated by Magnetron Sputtering. [PDF]

Materials (Basel)
Geng W, Du Y, Lou S, Sun H, Zong P.
europepmc   +1 more source