Results 141 to 150 of about 4,310 (263)

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Jericho open resistive data logger: An open-source modular weather station and monitoring system for long-term solar photovoltaic outdoor experimentation. [PDF]

HardwareX
Hayibo KS, Pearce JM.
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

TiO₂ Thin Films Obtained via Two-Phase Dip-Coating: Impact on Surface Roughness and Application to Heterostructures. [PDF]

ACS Omega
Pedrini LFK, de Oliveira NC, de Andrade Scalvi LV.   +2 more
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Cobalt‐Catalyzed Intramolecular C─H Silylation of Arenes

Angewandte Chemie, EarlyView.
Direct C─Si bond formation via C─H silylation is an atom‐economical route to organosilanes but is largely limited to noble metals. We report the first cobalt‐catalyzed intramolecular arene C–H silylation enabled by HCo(PMe3)4, which activates Si–H and C–H bonds to form diverse silacycles and silafluorenes in high yields with broad functional‐group ...
Yongqiang Xu, Valentin Poirier, Gilles Lemière, Julie Oble, Marc Petit   +4 more
wiley   +2 more sources

Decentralized electric vehicle charging enables large-scale photovoltaic integration in tropical cities. [PDF]

Nat Commun
Zhou J, Dong T, Yang H, Yean S, Lee BS, Schläpfer M.   +5 more
europepmc   +1 more source

A Steerable and Expandable Magnetic Aspiration Catheter for Enhanced Aspiration Thrombectomy

Advanced Intelligent Systems, EarlyView.
This article presents a novel magnetic aspiration catheter (MAC) that can be both actively steered and undergo distal‐end expansion via externally applied magnetic fields. The MAC facilitates precise branch selection and enhances clot engagement by improving endovascular navigation and aspiration efficiency. Phantom experiments validate its feasibility
Hakjoon Lee, Xiao Dong, Dong‐in Kim, A. M. Masum Bulbul Chowdhury, Nader Latifi Gharamaleki, Jin‐young Kim, Sung Won Youn, Hongsoo Choi   +7 more
wiley   +1 more source

Solar‐Driven Ammonia Synthesis From Nitrate Reduction Paired With CO2 Capture for Sustainable Agriculture via a Robust CuPd Heterojunction

Angewandte Chemie, EarlyView.
Laser‐assisted synthesis of CuPd amorphous/crystalline heterojunction demonstrates >80% Faradaic efficiency for nitrate‐to‐ammonia electroreduction across wide potential windows. The integrated solar‐powered electrolyzer achieves 6% solar‐to‐ammonia energy efficiency at 0.4 sun, 6–20 mg h−1 CO2 capture rate, and stability exceeding 100 h.
Weihua Guo, Xiaofeng Huang, Yangbo Ma, Yun Song, Zihao Li, Qiang Zhang, Yinger Xin, Jianjun Su, Mingming He, Ruixuan Wang, Rui Xue, Xing Li, Shibo Xi, Jian Wang, Shenlong Zhao, Siwei Zhang, Ben Zhong Tang, Alex K. Y. Jen, Ruquan Ye   +18 more
wiley   +2 more sources

High-resolution energy data from a sustainable industrial production area in Karlsruhe. [PDF]

Sci Data
Sievers J, Bischof S, Blank T, Simon F.
europepmc   +1 more source