Results 251 to 260 of about 977,116 (306)

Néel Tensor Torque in Polycrystalline Antiferromagnets

Advanced Materials, EarlyView.
This work introduces a Néel tensor torque based on a rank‐two symmetric tensor capturing spin correlations in a polycrystalline antiferromagnet. It shows the Néel tensor can be shaped and reshaped through the spin‐orbit torque (SOT) technique, enabling field‐free SOT switching with a specific polarity of the adjacent ferromagnet. This discovery opens a
Chao‐Yao Yang, Sheng‐Huai Chen, Chih‐Hsiang Tseng, Hsiu‐Hau Lin, Chih‐Huang Lai   +4 more
wiley   +1 more source

Assessing the ecological quality of Rheum tanguticum based on machine learning models and cultivation verification. [PDF]

NPJ Sci Food
Wang B, Xiong F, Li J, Wang L, Yang X, Zhou G.   +5 more
europepmc   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Multi-Solvent Graph Neural Network for Reduction Potential Prediction Across the Chemical Space. [PDF]

J Chem Inf Model
Fedorov R, Nihei A, Gryn'ova G.
europepmc   +1 more source

A Soft Microrobot for Single‐Cell Transport, Spheroid Assembly, and Dual‐Mode Drug Screening

Advanced Materials, EarlyView.
A soft, untethered hydrogel microrobot enables precise single‐cell delivery, self‐assembly into 3D spheroids, and real‐time thermal actuation. Driven by light‐induced convection and embedded with gold nanorods and temperature sensors, the microrobot guides cells, modulates local microenvironments, and supports drug testing.
Philipp Harder, Nergishan İyisan, Yukun Wang, Berna Özkale   +3 more
wiley   +1 more source

Estimation of Non-Optically Active Water Quality Parameters in Zhejiang Province Based on Machine Learning [PDF]

Lingfang Gao, Yulin Shangguan, Sun Zhong, Qiaohui Shen, Zhou Shi   +4 more
openalex   +1 more source

Full Crystallographic Imaging of Hexagonal Boron Nitride Monolayers with Phonon‐Enhanced Sum‐Frequency Microscopy

Advanced Materials, EarlyView.
A nonlinear optical microscopy technique is introduced that enables rapid imaging of hexagonal boron nitride monolayers, which are usually optically invisible. The nonlinear mixing of mid‐infrared and visible laser pulses enables full crystallographic imaging through phase‐resolved sum‐frequency generation microscopy, where the resonant excitation of a
Niclas S. Mueller, Alexander P. Fellows, Ben John, Andrew E. Naclerio, Christian Carbogno, Katayoun Gharagozloo‐Hubmann, Damián Baláž, Ryan A. Kowalski, Hendrik H. Heenen, Christoph Scheurer, Karsten Reuter, Joshua D. Caldwell, Martin Wolf, Piran R. Kidambi, Martin Thämer, Alexander Paarmann   +15 more
wiley   +1 more source

Artificial intelligence in glioma research: a bibliometric analysis of global trends, hotspots, and future directions. [PDF]

Front Neurol
Shao D, Lou S, Liu Y, Kou Z.
europepmc   +1 more source

Physical Intelligence in Small‐Scale Robots and Machines

Advanced Materials, EarlyView.
“Physical intelligence” (PI) empowers biological organisms and artificial machines, especially at the small scales, to perceive, adapt, and even reshape their complex, dynamic, and unstructured operation environments. This review summarizes recent milestones and future directions of PI in small‐scale robots and machines.
Huyue Chen, Metin Sitti
wiley   +1 more source

Assessing and optimizing Team-Based Learning in undergraduate cosmetic dermatology education: an empirical study using interpretable machine learning. [PDF]

BMC Med Educ
Ouyang P, Zhou L, Gao L, Lu J, Zeng J.
europepmc   +1 more source