Results 171 to 180 of about 939,024 (297)

Capillary-Regulated Carbonized Lotus Stem for Efficient Solar-Driven Water Evaporation and Purification. [PDF]

Biomimetics (Basel)
Yuan Z, Li X, Deng S, Hu L, Li L, Zhang K, Zhang P, Yang Z, Huang J, Huang K, Shui L, Xue L.   +11 more
europepmc   +1 more source

Chemical modification of wood : dimensional stabilization of viscoelastic thermal compressed wood [PDF]

The tendency of wood to shrink and swell with changing moisture content remains as one of the most significant challenges to using wood in its many applications. Viscoelastic Thermal Compression (VTC) has been shown to significantly increase the density,
Gabrielli, Christopher P.
core  

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

Oil-impregnated densified wood veneer with high electrical insulation enabled by nanosized oil channels. [PDF]

Sci Adv
Wu M, Xu Y, Zhang Q, Brozena A, Mao Y, Liu Y, Xu L, Tejaswi S, Zhang Y, Zhao X, Zhang KC, Ramakrishnan K, Wang O, Nelson J, Bahadur V, Zhu JY, Hebner RE, Hu L.   +17 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

Adsorption Performance of Torrefied Wood Chips for Volatile Organic Compounds and Ethylene Gas

BioResources
Machine learning models were developed to predict volatile organic compound and ethylene gas adsorption performance of freshness-preserving agents based on torrefied oak wood chips.
Hyeon Cheol Kim, Si Young Ha, Jae-Kyung Yang   +2 more
doaj  

Design and measurement of 3D-printed variable-morphology and variable-density breast phantoms for mammography and breast CT dose assessment. [PDF]

3D Print Med
Paverd C, Piol G, Cester D.
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Advanced Intelligent Discovery, EarlyView.
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang, Bing Sun, Zhigang Chen, Chenyu Zhao, Eugene Bakker, Yaojie Lei, Lingfei Zhao, Shijian Wang, Chao Liu, Virginia Xiaojun He, Bahram Shirzadi, Hao Liu, Xin Xi, Ruiliu Liu, Dongqing Wu, Guodong Long, Guoxiu Wang   +16 more
wiley   +1 more source

Cell-Wall-Engineered Wood Enabling Metal-and-Adhesive-Free Cross-Laminated Timber. [PDF]

Research (Wash D C)
Zhang S, Li X, Chen X, Huang R, Shen H, Yang C, Zhang Y, Yang S, Qiu J, Yang Y, Liu L.   +10 more
europepmc   +1 more source