Results 201 to 210 of about 492,142 (334)

Morphotype-based risk stratification in patients with patent foramen ovale using computational fluid dynamics. [PDF]

Sci Rep
Morelli F, Guadagno V, Mencarini T, Brambilla M, Fusini L, Bozzi S, Trabattoni D, Camera M, Redaelli A.   +8 more
europepmc   +1 more source

Powering the Future: A Cobalt‐Based Catalyst for Longer‐Lasting Zinc–Air Batteries

Advanced Functional Materials, EarlyView.
A novel N‐doped graphitic shell‐encapsulated Co catalyst reveals superior bifunctional ORR/OER activity in alkaline media, empowering outstanding liquid and quasi‐solid‐state ZAB activity. The system delivers long‐term durability, a peak power density of 127 mW cm−2 and successfully powers an LED and a mini fan.
Manami Banerjee, Peng Ren, Greesh Kumar, Lucie Lindenbeck, Byoung Joon Park, Anna Rokicińska, Piotr Kuśtrowski, Adam Slabon, Francesco Ciucci, Ramendra Sundar Dey, Shoubhik Das   +10 more
wiley   +1 more source

3D printing of hydrogels: a synergistic approach of rheology and computational fluid dynamics (CFD) modeling. [PDF]

RSC Adv
Ahmad S, Alam H, Thareja P.
europepmc   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Correction: Hemodynamic predictors of rupture in abdominal aortic aneurysms: a case series using computational fluid dynamics. [PDF]

Front Cardiovasc Med
Moon K, Lee Y, Lee J, Son Y, Woo Y, Jang E, Yun S, Park S, Kim J.   +8 more
europepmc   +1 more source

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Computational Fluid Dynamics Approach for Direct Nose-to-Brain Drug Delivery: A Systematic Review and Meta-Analysis. [PDF]

J Pers Med
Vishnumurthy P, Radulesco T, Bouchet G, Regard A, Michel J.   +4 more
europepmc   +1 more source

Inpainting Computational Fluid Dynamics with Deep Learning [PDF]

Dule Shu, Wilson Zhen, Zijie Li, Amir Barati Farimani   +3 more
openalex   +1 more source

Prediction of the bubble nucleation rate in a quasi-stable cavitating nozzle using 2D computational fluid dynamics and enhanced classical nucleation theory [PDF]

, 2015
Zhen Hong Ban, Kok Keong Lau, Azmi Mohd Shariff   +2 more
openalex   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source