Results 211 to 220 of about 61,168 (309)

Design and Optimization of Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces Based on Conditional Multi‐Task Deep Learning

Advanced Science, EarlyView.
A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong, Haodong Shi, Qi Wang, Yingchao Li, Hongyu Sun, Jiayu Wang, Guanlin Li, Jian Zhang, Qiang Fu, Huilin Jiang   +9 more
wiley   +1 more source

Optimizing sustainable pore design in MIL-125(Ti) for biomedicine using morphological tuning informed by Gaussian, Lorentzian, and Boltzmann fitting functions. [PDF]

Commun Chem
Daneshgar H, Bagherzadeh M, Sojdeh S, Rabiee N.   +3 more
europepmc   +1 more source

Segmentation of skull and scalp in 3‐D human MRI using mathematical morphology

, 2005
Belma Dogdas, David W. Shattuck, Richard M. Leahy   +2 more
openalex   +2 more sources

Sub‐Unit‐Cell Logic Governs Transport in TPMS Architectures

Advanced Science, EarlyView.
ABSTRACT Next‐generation energy, thermal, and chemical systems require architectures capable of highly efficient transport across multiple length scales. Triply periodic minimal surfaces (TPMS), first conceptualized in 1865, offer inherently scalable geometries with exceptional transport potential, yet mechanistic links between topology and performance
Haozhang Zhong, Yipei He, Jiaxuan Wang, Chenyi Qian, Gerd E Schröder‐Turk, Raj Das, Junye Shi, Qi Tang, Zheda Ning, Wenjue Yi, Chuanwei Li, Jiangping Chen, Zeyao Chen, Binbin Yu, Jian LU, Jianfeng Gu, Ma Qian   +16 more
wiley   +1 more source

Theoretical Considerations for Patient-Specific Modeling Based on Observable State Variables. [PDF]

J Biomech Eng
Ateshian GA, Deiters S, Weiss JA.
europepmc   +1 more source

Smoothing of binary raster images using mathematical morphology

, 2001
O. L. Konevsky
openalex   +1 more source

Magneto‐X Effects in Magnetic Soft Materials and Their Applications

Advanced Science, EarlyView.
This review systematically explores magnetic soft materials (MSMs), a novel class of composites that transform under magnetic fields. It catalogs fundamental “Magneto‐X” effects, classifies materials by their matrix and magnetic fillers, and highlights transformative applications in soft robotics, biomedical devices, flexible electronics, etc. Finally,
Ziyin Xiang, Xiangling Xia, Benjamin Ducharne, Yujie Ye, Jie Shang, Run‐Wei Li   +5 more
wiley   +1 more source

A Model-Based Approach to Neuronal Electrical Activity and Spatial Organization Through the Neuronal Actin Cytoskeleton. [PDF]

Methods Protoc
Rafati AH, Joca S, Vontell RT, Mallard C, Wegener G, Ardalan M.   +5 more
europepmc   +1 more source

Mathematical morphology-based approach to the enhancement of morphological features in medical images. [PDF]

J Clin Bioinforma, 2011
Kimori Y.
europepmc   +1 more source

The Mathematical Laws of Morphology and Biomechanics Through Ontogeny

Wijesooriya Kisal Wijesooriya
openalex   +1 more source