Results 191 to 200 of about 37,005 (331)

MODAL EXCITATION OF A FLEXIBLE CYLINDER UNDERGOING VORTEX-INDUCED VIBRATIONS

, 2014
Harrison Zimmer
openalex   +2 more sources

VORTEX INDUCED VIBRATION OF CIRCULAR CYLINDER : Part II Model of vortex induced vibration

Transactions of the Architectural Institute of Japan, 1979
openaire   +2 more sources

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Regulation of Crystallization Kinetics via Zwitterionic Additive for Efficient and Operationally Stable Formamidinium Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
This study introduces a zwitterionic additive, Cl‐PPS, to regulate crystallization kinetics and passivate defects in formamidinium‐based perovskite solar cells. Cl‐PPS promotes direct α‐phase formation, minimizes necessary MACl loading, and induces highly crystalline, vertically oriented grains.
Shuai Li, Bohong Chang, Jianqiu Gong, Xianglang Sun, Francesco Vanin, Chunlei Zhang, Zexin Yu, Ning Wang, Dong Zhang, Baoze Liu, Liangchen Qian, Xinhui Lu, Haipeng Lu, Mingjie Li, Danpeng Gao, Bo Li, Zonglong Zhu   +16 more
wiley   +1 more source

Numerical investigation of the vortex-induced vibration of an elastically mounted circular cylinder at high Reynolds number (Re = 104) and low mass ratio using the RANS code. [PDF]

PLoS One, 2017
Khan NB, Ibrahim Z, Nguyen LTT, Javed MF, Jameel M.   +4 more
europepmc   +1 more source

Glucosinolate and Isothiocyanate Profiles in Different Varieties of Raphanus sativus Seed via Multivariate Data Analysis

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Through HPLC–MS/MS analysis and multivariate statistics, raphani semen (RS) varieties with high functional components were screened. The white raphani semen “Xuebawang” was identified as ideal for further study due to its high bioactive content: glucoraphenin (9010.27 mg/100 g), glucoraphanin (1027.76 mg/100 g), sulforaphane (66.14 mg/100 g), and ...
Yonghua Li, Dongmei Lin, Peng Wu, Rui Gao, Jingxiu Bi, Yuying Jiang, Tong Zhao, Xuexia Yuan, Jianhan Xu, Pingxiang Liu, Yutao Wang   +10 more
wiley   +1 more source

Mitigation Effect of Vortex-Induced Vibration of Suspension Bridge Hangers with Stockbridge dampers

, 2016
방민규
openalex   +1 more source

A study of the vortex-induced lateral vibration and heat transfer characteristics of elastic supported single tubes with different cross-sectional shapes

, 2019
Yancai Su, Liying Gao, Lei Li, Xiaofang Li, Chengliang Zhang   +4 more
openalex   +2 more sources

Challenges and enablers in fluidization technology

AIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source