Results 71 to 80 of about 104,496 (248)

Initial evaluation of 2D and 3D simulated high-speed 1000 fps vascular contrast-flow image sequences using computational fluid dynamics (CFD)

, 2022
Allison Shields, Kyle Williams, Sricharan S. Veeturi, Vincent M. Tutino, Ciprian N. Ionita, Daniel R. Bednarek, Stephen Rudin   +6 more
openalex   +2 more sources

Enhanced Responsivity, Accuracy, and Stability of Aerosol Jet Printing via Mechanical Switching Valve Assisted Internal Shuttering

Advanced Science, EarlyView.
This work demonstrates ultra‐high ON‐OFF responsivity of AJP by mechanical switching valve assisted shuttering. The jet relaxation and ON‐OFF delay are substantially eliminated from greater than 35 s, maintaining patterning quality independent of the variations of printing parameters, permitting excellent process stability and universality.
Jinhang Wang, Li Meng, Shuhuan Zhang, Pan Chen, Kaiwen Wei, Beibei Zhu, Xiaoyan Zeng   +6 more
wiley   +1 more source

Wind-resistant structural optimization of irregular tall building using CFD and improved genetic algorithm for sustainable and cost-effective design [PDF]

, 2022
Fadi Alkhatib, Narimah Kasim, Shaker Qaidi, ‎Hadee Mohammed Najm, Mohanad Muayad Sabri Sabri   +4 more
openalex   +1 more source

Recent Progress on Photoelectrochemical Organic Upgrading: A Review from Direct and Indirect Charge Transfer Pathway

Advanced Energy Materials, EarlyView.
Photoelectrochemical (PEC) organic upgrading at the anode, coupled with hydrogen evolution at the cathode, presents a promising strategy for enhancing solar energy utilization while simultaneously generating value‐added chemicals. An overview of directional photoanodic conversion of organic substrates is presented, distinctively with an eye to the ...
Cheng Lin, Yoonjun Cho, Kan Zhang, Jong Hyeok Park   +3 more
wiley   +1 more source

Spin Matters: A Multidisciplinary Roadmap to Understanding Spin Effects in Oxygen Evolution Reaction During Water Electrolysis

Advanced Energy Materials, EarlyView.
This roadmap offers a forward‐looking perspective on spin enhancement in the oxygen evolution reaction. It highlights how combining systematic experiments, advanced computational modeling, and novel magnetic, chiral, or hybrid materials can deepen the understanding of spin‐dependent catalytic mechanisms.
Emma van der Minne, Priscila Vensaus, Vadim Ratovskii, Seenivasan Hariharan, Jan Behrends, Cesare Franchini, Jonas Fransson, Sarnjeet S. Dhesi, Felix Gunkel, Florian Gossing, Georgios Katsoukis, Ulrike I. Kramm, Magalí Lingenfelder, Qianqian Lan, Yury V. Kolen'ko, Yang Li, Ramsundar Rani Mohan, Jeffrey McCord, Lingmei Ni, Eva Pavarini, Rossitza Pentcheva, David H. Waldeck, Michael Verhage, Anke Yu, Zhichuan J. Xu, Piero Torelli, Silvia Mauri, Narcis Avarvari, Anja Bieberle‐Hütter, Christoph Baeumer   +29 more
wiley   +1 more source

Redox‐Acidity Interplay in Eu‐Promoted PtSn2 Catalysts for Selective and Stable Propane Dehydrogenation

Angewandte Chemie, EarlyView.
Eu‐promoted PtSn2 catalysts leverage the redox activity of Eu and tailored acidity to reduce coke formation, enhancing selectivity and stability in propane dehydrogenation. This synergy significantly improves propylene yield and extends catalyst lifespan, providing an effective strategy for efficient PDH processes.
María I. Valls, Jesús Ara, Sonia Escolástico, Sonia Remiro‐Buenamañana, David Catalán‐Martínez, Julien Grand, Moritz Kindelmann, Joachim Mayer, Simona Somacescu, Daniel Curulla‐Ferré, Jose M. Serra   +10 more
wiley   +2 more sources

Digital Twin of Solid Oxide Electrochemical Cells: From 3D Microstructure Reconstruction to Multiphysics Modeling

Advanced Energy Materials, EarlyView.
This review outlines the implementation of digital twin frameworks for solid oxide electrochemical cells (SOCs), encompassing 3D microstructure reconstruction, quantitative morphological analysis, and microstructure‐resolved multiphysics modeling. Emphasis is placed on recent advances that position digital twins as powerful tools for microstructure ...
Seungsoo Jang, Yejin Kang, Kyung Taek Bae, Seong Hyun Park, Young Je Park, Dongyeon Kim, Hyeongmin Yu, Hyunjin Kim, Siwon Yu, Kang Taek Lee   +9 more
wiley   +1 more source

CFD analysis on heat transfer in a building wall using Phase Change Materials (PCM)

, 2020
Shiva Prakash, M. Prabhahar, Alen Varghese Kurian, S Girishanker, Kurian K. Mani   +4 more
openalex   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source