Results 221 to 230 of about 54,055 (293)
Exploring Thermally Conductive and Form-Stable Phase Change Composites: A Review of Recent Advances and Thermal Energy Applications. [PDF]
Guo H, Hu B, Shan H, Yang X.
europepmc +1 more source
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka +2 more
wiley +1 more source
Evaluation of the Mechanical Properties of Pine, Larch, and Spruce Wood Subjected to Saline Treatment. [PDF]
Roman K +4 more
europepmc +1 more source
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Ammonium Bisulfite and Urea-Metabisulfite as Formaldehyde Scavengers in Low-Molar-Ratio Urea-Formaldehyde Resin for Medium-Density Fiberboard: Curing Behavior and Panel Performance. [PDF]
Dudeva V +6 more
europepmc +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
Experimental investigation of the impact of wood sawdust incorporation on the physical and thermal properties of fired clay bricks. [PDF]
Benjeddou O.
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Ecotoxicological effects of innovative wood protection treatments on freshwater bioindicator organisms. [PDF]
Nesto N +5 more
europepmc +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source

