Results 71 to 80 of about 33,273 (264)

Automated Alignment Powered by Computer Vision Streamlines the Two‐Photon Polymerization‐Based Micro 3D Printing of Multiscale and Multimaterial Structures

Advanced Intelligent Discovery, EarlyView.
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher, Valentina Mendoza Martinez, Marcin Piotr Piekarczyk, Stefan Sützl, Ada‐Ioana Bunea   +4 more
wiley   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Study on field-network hybrid numerical simulation of deep well heat hazard control

Gong-kuang zidonghua
Research on deep well heat hazard control mainly uses two types of numerical models: three-dimensional CFD models (field models) and one-dimensional ventilation network models (network models).
WANG Yu, SHI Xiaojun, JING Panyin, DONG Jianwei, KONG Xiangxi, SANG Junsheng, YU Minggao, WANG Liang, WANG Jiachen   +8 more
doaj   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Functionalization‐Mediated Synthesis of Bridge‐Coordinated Fe Atoms on MoS2 Nanosheets for PEM Water Electrolyzers

Angewandte Chemie, EarlyView.
We report a functionalization‐mediated strategy to synthesize robust iron (Fe) atoms selectively coordinated at bridge sites on molybdenum disulfide (MoS2) nanosheets. The resulting b‐Fe‐MoS2 catalyst exhibits enhanced activity and durability for the hydrogen evolution reaction in proton exchange membrane water electrolyzers compared to atop ...
Zakaria Anfar, Haitham Maslouh, Yuwei Yang, Mathilde Moderne, Jiefeng Liu, Loïc Assaud, Mikhael Bechelany, Chrystelle Salameh, Kun Qi, Yuying Meng, Huali Wu, Ji Li, Nicholas M. Bedford, Damien Voiry   +13 more
wiley   +2 more sources

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Technological Mineralogical Analysis and Flotation Test of a Refractory Lead-zinc Ore in Hebei

Kuangchan zonghe liyong
This is an article in the field of mineral processing engineering. The main valuable elements in a lead-zinc mine in Hebei are lead and zinc, with grades of 1.07% and 2.08%, respectively.
Guanglin QIN, Guangsheng LI, Xingfu ZHU, Qiang JI, Congquan YU   +4 more
doaj   +1 more source

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

Advanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula, Lynnicia N. Massenburg, Spenser R. Brown, Amber N. Bible, Chanda R. Harris, Lance X. Zhang, Kiara Parker, Scott T. Retterer, Jennifer L. Morrell‐Falvey, Rama K. Vasudevan, Alexis N. Williams   +10 more
wiley   +1 more source

Study on the Process Mineralogy for the Flotation Tailings of a Gold Mine in Shandong Province

Kuangchan zonghe liyong
This is anarticle in the field of process mineralogy. The grade of gold and sulfur in a gold mine from Shandong Province was 2.0 g/t and 1.56% respectively, which was a typical gold bearing ore with low sulfur.
Kai WU, Yingqiang MA, Hailong WANG, Hongliang DONG, Ruihui REN, Shuxin WANG   +5 more
doaj   +1 more source