Results 181 to 190 of about 3,458,417 (246)

Balancing Hydrophobicity and Hydrophilicity: Dual Filler‐Engineered Proton Exchange Membranes for Durable, High‐Power Fuel Cells

Advanced Functional Materials, EarlyView.
Polarity‐matched Zr–MOFs program Nafion's nanoscale morphology during solution casting. Hydrophilic UiO‐66 preserves hydrated pathways, while hydrophobic UiO‐67 increases the proton hopping sites by densifying ionic clusters. Combining both fillers yields a membrane that delivers 176 mS cm−1 conductivity, reaches 1.46 W cm−2 under 200 kPa, and triples ...
Yonghwi Cho, Yunseong Ji, Minkyu Choi, Junsu Kim, Yejin Kim, Su Jeong Lee, Wooyoung Choi, Choong Hoo Lee, Ju Yeon Kim, Ohchan Kwon, Hanim Kim, Du Yeol Ryu, Ki Chul Kim, Dae Woo Kim   +13 more
wiley   +1 more source

Physics-informed neural network framework for predicting drilling-induced delamination in GFRP composites. [PDF]

PLoS One
Arunadevi M, M S S, B R N M, M C G.
europepmc   +1 more source

3D Bioprinted Glioblastoma Multiforme Models: How the Extracellular Matrix Glycosignature Influences Drug Response

Advanced Functional Materials, EarlyView.
Aberrant glycosylation in the glioblastoma tumor microenvironment drives therapeutic resistance. Here, a 3D bioprinted model was engineered by incorporating α‐NeuNAc‐(2→3)‐β‐D‐Gal‐ and chondroitin sulfate. Combined multiplex immunofluorescence and synchrotron‐based nanoCT analysis revealed that glycan‐matrix interactions dictate specific drug‐escape ...
Francesca Cadamuro, Marco Piazzoni, Ilaria Borghi, Alberto Baeri, Alessandro Fumagalli, Federica Perillo, Hafiz Muhammad Fahad, Martina Ghizzi, Luca Crippa, Gabriella Nicolini, Angela Bentivegna, Daniele Ramazzotti, Valentina Zuliani, Mirko Rivara, Carlo Giorgio Giussani, Andrea Di Cristofori, Guido Cavaletti, Federica Facciotti, Sobhan Sheikhi, Claire Seydoux, Murielle Salome, Peter Cloetens, Alberto Bravin, Paola Coan, Francesco Nicotra, Laura Russo   +25 more
wiley   +1 more source

Bridging Materials and Performance in Batteries: The Role of Accurate Models in Electrode Design and Manufacturing. [PDF]

Small Methods
Zhao L, Ren D, Wang L, He X.
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Efficient Automatic Design of a 2D TMD FET via Machine Learning-Assisted TCAD Simulation. [PDF]

Micromachines (Basel)
Shi N, Wei ZJ, Wu T.
europepmc   +1 more source

Bone‐Inspired Recyclable Composites for Damage‐Tolerant Circular Materials

Advanced Functional Materials, EarlyView.
Bone‐inspired architected composites are developed by combining osteon‐like reinforcements with a recyclable Elium thermoplastic matrix. The hierarchical architecture redirects cracks and promotes energy dissipation, while enabling recovery of intact, aligned, load‐bearing reinforcement units that retain their original stiffness, revealing a route ...
Alessandro Stagni, Nastaran Bahrami Novin, Luigi Benvenuto, Enrico Lertora, Flavia Libonati   +4 more
wiley   +1 more source

AI-Physics-Experiment Trinity for Integrated Protein Dynamics Modeling. [PDF]

Adv Sci (Weinh)
Shi C, Low M, Xiu P, Lindorff-Larsen K, Wang Y.   +4 more
europepmc   +1 more source

Water Organization and Hydration‐Dependent Hydroxide Transport in Anion Exchange Membranes (AEM)

Advanced Functional Materials, EarlyView.
Hydroxide transport in anion exchange membranes is governed by the organization of water within the polymer rather than by hydration alone. A hydration‐window framework is presented to unify transport, swelling, and mechanical stability, providing guidance for designing durable membranes for fuel cells and other hydroxide‐based electrochemical ...
Phumlani F. Msomi
wiley   +1 more source

Learning variable-order time fractional diffusion equations using Physics-Informed Neural Networks. [PDF]

PLoS One
Ren L, Jin S.
europepmc   +1 more source