Results 111 to 120 of about 20,107 (303)

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Thermal Environment Effect on Machine Tool Ball Screw Based on Experimental Investigation and Numerical Simulation via Machine Learning Prediction

Journal of Engineering
Machine tools generate substantial heat, resulting in elevated operating temperatures that cause deformation of machine elements and subsequent machining inaccuracies.
null Kusnandar, null Nasril, Danny Mokhammad Gandana, Agus Widodo, Galang Ilman Islami   +4 more
doaj   +1 more source

Defining and Computing Machine Tool Accuracy

, 2009
Understanding machine tool performance is important for specifying or comparing machines and for determining capability for production. Machine accuracy has generally been described by the linear positioning accuracy and repeatability of the axes.
Longstaff, Andrew P., Fletcher, Simon, Myers, Alan   +2 more
core  

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

Advanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source

Thermal Error Transfer Prediction Modeling of Machine Tool Spindle with Self-Attention Mechanism-Based Feature Fusion

Machines
Thermal errors affect machining accuracy in high-speed precision machining. The variability of machine tool operating conditions poses a challenge to the modeling of thermal errors.
Yue Zheng, Guoqiang Fu, Sen Mu, Caijiang Lu, Xi Wang, Tao Wang   +5 more
doaj   +1 more source

Compensation of a ball end tool trajectory in complex surface milling [PDF]

, 2012
This work is consecrated to the minimising of machining errors based on a method for the compensation of the trajectory to be machined in hemispherical milling.
Baili, Maher, Smaoui, Moez, Zghal, Ali, Dessein, Gilles, Bouaziz, Zoubeir   +4 more
core  

Inverse Design of Amorphous Materials With Targeted Properties

Advanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer   +4 more
wiley   +1 more source

Thermally Modulated Metasurface Sensor for Dynamic and Time‐Resolved Isolation of Extracellular Vesicles

Advanced Materials, EarlyView.
A thermally adaptive plasmonic metasurface, functionalized with poly(N‐isopropylacrylamide) (PNIPAM) and anti‐CD63 antibodies, enables precise, on‐demand capture and release of extracellular vesicles (EVs). Delivering high recovery, improved purity, and intact vesicle structure, the platform offers a versatile, label‐free solution for real‐time EV ...
Beyza Nur Kucuk, Eylul Gulsen Yilmaz, Yusuf Aslan, Emre Ece, Özgecan Erdem, Murat Alp Gungen, Bengi Özgün Öztürk, Fatih Inci   +7 more
wiley   +1 more source