Results 131 to 140 of about 64,439 (239)

Interstitium‐Mimicking Porous Alveolar Membranes Enable Physiologic Aerosol Transport and Distinct Acute‐Chronic Lung Injury Responses

Advanced Functional Materials, EarlyView.
An interstitium‐mimicking membrane combines three‐dimensional alveolar geometry, high pore interconnectivity, and mechanical compliance to overcome transport limitations of conventional lung‐on‐chip barriers. The resulting platform supports physiologic aerosol transport, quantitative analysis of cross‐barrier particle movement, and reveals divergent ...
Jae‐Won Choi, Sheng Zhang, Abbas Jalili, August Kohls, Woo‐Youl Maeng, Sikandar Azam, Wu Liu, Barbie Varghese, Yixin Zhao, Xi Ren, Shimin Liu, Si‐Yang Zheng   +11 more
wiley   +1 more source

Modular 4WD agricultural robot for cutting, collection, and precision seeding: design and simulation-based evaluation. [PDF]

Sci Rep
Kumar A, Kamalaksha SA, Srividya R, Zuber M, Ahmad KA, Singh S, Nair VG.   +6 more
europepmc   +1 more source

Redirecting Nano‐Silicon Agglomeration: Dual‐Carbon Design Triggers Self‐Adaptive Nanoporous Si Sponge for Enhanced Lithium Storage

Advanced Functional Materials, EarlyView.
This study addresses silicon anode degradation using an engineered nSi/Gr/C dual‐carbon matrix. By restricting SEI infiltration, the architecture redirects silicon agglomeration into a beneficial structural self‐adaptive activation. During cycling, silicon nanoparticles self‐organize into a resilient nanoporous sponge. This dynamic network accommodates
Wei Zhang, Yuxia Zhong, Wen Ren, Lei Zhang, Yexin Pan, Mitch Guijun Li, Gary J. Cheng, Ruohan Yu   +7 more
wiley   +1 more source

Estimation of Newmark displacement of homogeneous soil slopes from static factor of safety and ground motion parameters

Japanese Geotechnical Society Special Publication
Park, Duhee, Kwon, Soonjae, Kim, ChaeYoung, Choi, Joonhun   +3 more
openaire   +1 more source

Expanding the Measurement of Suicidal Desire: The Creation and Evaluation of the Suicidal Desire Variability Scale in Three Adult Samples. [PDF]

J Psychopathol Behav Assess
Tucker RP, Gerner JL, Mitchell SM, Oakey-Frost N, Moscardini EH, Pardue-Bourgeois S, Capron DW, Hill RM.   +7 more
europepmc   +1 more source

Synthesis of AgBiS2 and AgInS2 Based on Formation Energies in Sulfur‐Rich Reducing Flame

Advanced Functional Materials, EarlyView.
High‐surface‐area AgInS2 and AgBiS2 nanoparticles were synthesized via enclosed flame spray pyrolysis by tuning flame conditions and formation energies to guide phase formation. Flame parameters were tuned to suppress oxides and enable pure sulfide phase growth.
Muhammad Ali Martuza, Marco Schowalter, Andreas Rosenauer, Olga V. Kuharenko, Christian Rossner, Johannes Birkenstock, Lutz Mädler, Suman Pokhrel   +7 more
wiley   +1 more source

Investigation into the interactive feedback and rock burst mechanism under mining disturbance. [PDF]

Sci Rep
Bai J, Dou L, Gong S, Cao A, Zhang X, Miao L, Guo H.   +6 more
europepmc   +1 more source

Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies

Advanced Functional Materials, EarlyView.
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke, Hattie R. Chisnall, Jesus Vazquez Chavez, Ana B. Jorge Sobrido   +3 more
wiley   +1 more source

Lightweight design of running prosthetic feet using honeycomb sandwich composites: a comparative FEA study. [PDF]

Front Bioeng Biotechnol
Akkaş Y, Alsancak S.
europepmc   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source