Results 191 to 200 of about 1,927,735 (291)

Influence of microwave excitation mode and antenna-sample orientation on rebar detection using microwave infrared thermography. [PDF]

Sci Rep
Szymanik B, Keo SA, Brachelet F, Defer D.   +3 more
europepmc   +1 more source

Hydration Behavior of Tricalcium Silicate in Seawater Relevant Salt Systems: A Hybrid Study with the Aid of Machine Learning

Advanced Intelligent Discovery, EarlyView.
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun, Chen Zhang, Ting Zhang, Mengze Hong, Peiliang Shen, Chi Sun Poon, Gang Li   +6 more
wiley   +1 more source

Experimental activation assessment of open-type yoke in a PET cyclotron by non-destructive/destructive γ-ray measurement approaches. [PDF]

Med Phys
Yoshida G, Matsumura H, Toyoda A, Nakamura H, Masumoto K, Miura T, Watanabe E, Tsugane K, Saito K, Koumura I, Uno H, Kozaki M, Yamamoto A, Toyohara J, Wagatsuma K.   +14 more
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Experimentally recreated workplace environments contain submicron crystalline silica particles, including ultrafine particles, which have been identified in the mediastinal lymph nodes of construction workers. [PDF]

Occup Environ Med
Bazin D, Bressot C, Colboc H, Meunier L, Begueret H, Bachmeyer A, Heng-Pradere TT, Tranca I, Rodriguez F, Tielens F, Tang E, Audouin C, Letavernier E, Cambrelin M, Bernaudin JF, Brochard P.   +15 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Effective restoration can avoid peatland fires: Large scale counterfactual assessment in Kalimantan, Indonesia. [PDF]

iScience
Castro M, Ritonga R, Masuda Y, Asyhari A, Novita N, Gangga A, Erbaugh J, Cheptoo G, Yeo S, Leavitt S.   +9 more
europepmc   +1 more source

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source

Experimental Study on Flexural Behavior of Simply Supported Beams with All-Light Shale Ceramsite Concrete. [PDF]

Materials (Basel)
He R, Zhou X, Liu K.
europepmc   +1 more source

A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing

Advanced Intelligent Systems, EarlyView.
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti, Weng Buxiu, Petr Trunin, Muhammad Sunny Nazeer, Lucia Beccai, Perla Maiolino, Cecilia Laschi   +6 more
wiley   +1 more source