Results 171 to 180 of about 12,301 (257)

Tunable Plug‐and‐Play Meta‐Nanogenerator Materials for Multi‐Range Force Measurements

Advanced Science, EarlyView.
The multifunctional and tunable meta‐nanogenerator material system combines a mechanical metamaterial and a triboelectric nanogenerator enabling self‐powered, real‐time force sensing across application‐specific ranges. Geometrical tuning adjusts stiffness and the force sensing range, while modular integration streamlines assembly.
Roshira Premadasa, Pouya Almasi, Samriddhi Ghimire, Wenkui Dong, Chenjie Zhang, Pengcheng Jiao, Qianyun Zhang   +6 more
wiley   +1 more source

Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections. [PDF]

Sci Rep
Sorour SS, Saleh CA, Shazly M.
europepmc   +1 more source

From Cell‐Free Transcriptomes to Single‐Cell Landscapes: Biomarker Discovery and Originating Cell Alteration Analysis via Graph Matrix Factorization

Advanced Science, EarlyView.
CellFreeGMF traces plasma cfRNA to likely originating cell types by integrating single‐cell atlases with graph‐regularized matrix factorization. The method decomposes cfRNA profiles into sample–cell contributions to reconstruct pseudo single‐cell expression.
Wenxiang Zhang, Wenjing Zhang, Hang Wei, Shiyan Liu, Junliang Shang, Weijie Gong, Hanwen Cheng, Xiujuan Lei, Yuhui Kou, Baoguo Jiang   +9 more
wiley   +1 more source

Liquid Metals in Radio Frequency Applications: A Review of Physics, Manufacturing, and Emerging Technologies

Advanced Electronic Materials, EarlyView.
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley   +1 more source

Symbolic regression for strength prediction of eccentrically loaded concrete-filled steel tubular columns. [PDF]

Sci Rep
Megahed K.
europepmc   +1 more source

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source

STM-based symbolic regression for strength prediction of RC deep beams and corbels. [PDF]

Sci Rep
Megahed K.
europepmc   +1 more source

Accelerating the Development of Organic Solar Cells: A Standardized Protocol with Machine Learning Integration

Advanced Energy Materials, EarlyView.
This publication introduces a streamlined method for evaluating new organic solar cell materials, focusing on layer thickness and efficiency optimization—enhanced by machine‐learning‐driven UV–vis spectral deconvolution. It outlines a degradation testing protocol, emphasizing half‐cell vs. full‐cell comparisons and environmental stress factors. Finally,
Jonas Wortmann, Larry Luer, Chao Liu, Jerrit Wagner, Tobias Osterrieder, Simon Arnold, Jens Hauch, Thomas Heumüller, Christoph J. Brabec   +8 more
wiley   +1 more source

Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach. [PDF]

Anaesthesia
Arina P, Ferrari D, Tetlow N, Dewar A, Stephens R, Martin D, Moonesinghe R, Curcin V, Singer M, Whittle J, Mazomenos EB.   +10 more
europepmc   +1 more source

Function Space Optimization: A Symbolic Regression Method for Estimating Parameter Transfer Functions for Hydrological Models. [PDF]

Water Resour Res, 2020
Feigl M, Herrnegger M, Klotz D, Schulz K.   +3 more
europepmc   +1 more source