Results 171 to 180 of about 112,978 (252)

Quantitative analysis of ex vivo colorectal epithelium using an automated feature extraction algorithm for microendoscopy image data. [PDF]

J Med Imaging (Bellingham), 2016
Prieto SP, Lai KK, Laryea JA, Mizell JS, Muldoon TJ.   +4 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Intelligent Thinning Decision for Strawberry Quality Optimization: A Lightweight Peduncle-Fruit Topological Relationship Perception Method. [PDF]

Foods
Luo H, Li Z, Xie F, Yue Y, He Y, Quan G.
europepmc   +1 more source

Pulsed Laser‐Assisted Phase Engineering of Multimetallic Colloidal Nanocrystals With Complex Compositions

Advanced Materials, EarlyView.
The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela, Sergio Triviño‐Sánchez, Andrés Guerrero‐Martínez, Luis M. Liz‐Marzán, Guillermo González‐Rubio   +4 more
wiley   +1 more source

Differential Sedimentation and Cryo‐TEM Mapping Resolve Structural Heterogeneity in Conjugated Polymer Nanowires for Programmable Stretchable Electronics

Advanced Materials, EarlyView.
Density‐driven differential sedimentation fractionates solution‐assembled P3HT nanowires into crystalline and disordered constituents. High‐resolution cryo‐TEM directly visualizes the molecular chain packing within individual nanowires in real space, and recombining the fractions programs the mobility–stretchability trade‐off without chemical ...
Junyeon Yoon, Jun Ho Hwang, Eunji Lee
wiley   +1 more source

Automated Installation Checking and Hanger Pre-Adjustment for Stone Curtain Walls Based on UAV Photogrammetry and Terrestrial Laser Scanning. [PDF]

Sensors (Basel)
Lin P, Cai M, Mo D, Luo X, Wang Y, Cui H, Li J, Chen J, Wen S, Tan Y.   +9 more
europepmc   +1 more source

Microgels Enable iPSCs to Assemble, Expand, and Differentiate Into Organoids—From Sizable to High‐Throughput

Advanced Materials, EarlyView.
A chemically defined PEG‐based microgel platform enables scalable, reproducible production of three‐dimensional microgel‐iPSC constructs in multiple sizes. The system is compatible with high‐throughput automation and supports human iPSC expansion and differentiation within a single construct, including directed differentiation into cardiac organoids ...
Laura Klasen, Matthias Mork, Ramin Nasehi, Vasudha Turuvekere Krishnamurthy, Kira Zeevaert, Aaron Babendreyer, Jacopo Di Russo, Wolfgang Wagner, Laura De Laporte   +8 more
wiley   +1 more source

Fiber‐Format Flexible Linear Electrostatic Motors

Advanced Materials, EarlyView.
A flexible coaxial fibre‐format electrostatic motor enables backdrivable and reversible linear actuation with high force density and functionality under bending, offering a scalable actuation platform for soft and wearable robotics. ABSTRACT Linear motion is fundamental to robotics, yet existing solutions are either rigid electromagnetic motors or ...
Sylvain Schaller, Herbert Shea
wiley   +1 more source

Automated Renal Tumor Segmentation in Computed Tomography Images Using a Global Attention-Based DeepLabV3+ Model: Algorithm Development and Validation. [PDF]

JMIR Med Inform
Zhao Y, Liu J, Shao L, Li L, Liu Z, Liu Y, Wen J, Hao X, Li S, Zhao J, Song B.   +10 more
europepmc   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source