Results 191 to 200 of about 143,605 (296)

Mechanical, half-metallic ferro-magnetic and thermoelectric properties double perovskites Li₂W(Cl/Br)₆ for spintronic and energy devices: DFT-calculations. [PDF]

Sci Rep
Ahmad M, Khan R, Sohaib MU, Noor NA, Mumtaz S, Elansary HO, Ibrahim A.   +6 more
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

Modeling thermoelectric performance of p-type Cu3SbSe4-based chalcogenide materials using decision trees and structural risk error minimization intelligent computational methods. [PDF]

PLoS One
Alharbi FS.
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

Modeling and Characterization of a Self‐Sensing Soft Hydraulic Muscle

Advanced Intelligent Systems, EarlyView.
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, Phuong Linh Dao, Duc Tu Vu, The Doan Le, Sy Trung Ngo, Minh Tri Phan, T. Thang Vo‐Doan, Ke Wu, Mai Thanh Thai   +8 more
wiley   +1 more source

Band Gap Tuneability in Antiperovskite‐Based Nitrides AE3PnN and Imides AE5Pn2(NH)2 (AE = Ca, Sr; Pn = As, Sb, Bi)

Angewandte Chemie, EarlyView.
A series of imide‐based defect antiperovskites AE5Pn2(NH)2 (AE = Ca, Sr; Pn = As, Sb, Bi) has been synthesized using the ammonothermal method. DFT calculations and spectroscopy revealed direct band gaps suitable for photovoltaic absorber materials. The discovered compounds can further be used as precursors for the synthesis of AE3PnN antiperovskites as
Thanh G. Chau, Florian Wolf, Dan Han, Saloni, Teak D. Boyko, Stefan S. Rudel, Thomas Bein, Hubert Ebert, Alexander Moewes, Wolfgang Schnick   +9 more
wiley   +2 more sources

Terrestrial Cyborg Insects for Real‐Life Applications

Advanced Intelligent Systems, EarlyView.
This article reviews the development of terrestrial cyborg insects from their emergence in 1997 to mid‐2025, examining three key aspects: locomotion control methods, associated challenges with proposed solutions, and practical applications. Framing these biohybrid systems as insect‐scale mobile robots, the review provides foundational insights for new ...
Hai Nhan Le, Lachlan Fitzgerald, Phuoc Thien Phan, Robbie Wilson, Christofer Clemente, Huu Duoc Nguyen, Hirotaka Sato, Hoang‐Phuong Phan, Peter Ross McAree, Thanh Nho Do, Tat Thang Vo‐Doan   +10 more
wiley   +1 more source

Thermoelectric properties of M2BS2 (M = Ti, Zr, Hf) monolayers: An Ab initio study. [PDF]

PLoS One
Wang S, Chen L, Song J.
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

A Yolk@Shell Photothermal Structure for Integrated Solar-Driven Undrinkable Water Purification and Thermoelectric Power Generation. [PDF]

Adv Sci (Weinh)
Zhan M, Fu X, He Y, Zhao M, Zhang X, Liu R, Yang H, Yang M, Yang H, Lyu P, Du J, Gu S, Liu X, Shang B.   +13 more
europepmc   +1 more source