Results 41 to 50 of about 36,442 (281)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

The 50-year Landsat collection 2 archive

Science of Remote Sensing, 2023
The Landsat global consolidated data archive now exceeds 50 years. In recognition of the need for consistently processed data across the Landsat satellite series, the U.S.
Christopher J. Crawford, David P. Roy, Saeed Arab, Christopher Barnes, Eric Vermote, Glynn Hulley, Aaron Gerace, Mike Choate, Christopher Engebretson, Esad Micijevic, Gail Schmidt, Cody Anderson, Martha Anderson, Michelle Bouchard, Bruce Cook, Ray Dittmeier, Danny Howard, Calli Jenkerson, Minsu Kim, Tania Kleyians, Thomas Maiersperger, Chase Mueller, Christopher Neigh, Linda Owen, Benjamin Page, Nima Pahlevan, Rajagopalan Rengarajan, Jean-Claude Roger, Kristi Sayler, Pat Scaramuzza, Sergii Skakun, Lin Yan, Hankui K. Zhang, Zhe Zhu, Steve Zahn   +34 more
doaj   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Bioinspired Multifunctional Flexible C‐SiC Fibrous Aerogel for Superior Electromagnetic Interference Shielding Under Extreme Environments

Advanced Science, EarlyView.
This schematic presents a biomimetic C‐SiC fibrous aerogel inspired by the special structure of momordica charantia. It exhibits outstanding thermal insulation and ultrahigh specific electromagnetic shielding performance, together with excellent high‐temperature stability and mechanical flexibility, showing great promise for aerospace applications ...
Tianyue Yang, Yan Shen, Zhongqian Zhao, Xue Zhou, Qianji Chen, Xujing Wang, Chuchu Zheng, Zhaoxiang Lu, Yangzhong Zhao, Yanzi Gou   +9 more
wiley   +1 more source

Chemically Gradient Ordered Nanodomains Enable Large Tensile Ductility in Gigapascal Lightweight Refractory High‐Entropy Alloys

Advanced Science, EarlyView.
A high‐strength lightweight refractory high‐entropy alloy achieves extraordinary ductility owing to the introduction of coherent chemically gradient ordered nanodomains (CGONs). The CGONs not only serve as effective barriers to dislocation motion (strengthening) but also significantly promote dislocation nucleation and multiplication (ductilizing) upon
Wei Zhang, Dingshun Yan, Yong Zhang, Zhiming Li   +3 more
wiley   +1 more source

An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data

Remote Sensing, 2016
Regression tree models have been widely used for remote sensing-based ecosystem mapping. Improper use of the sample data (model training and testing data) may cause overfitting and underfitting effects in the model.
Yingxin Gu, Bruce K. Wylie, Stephen P. Boyte, Joshua Picotte, Daniel M. Howard, Kelcy Smith, Kurtis J. Nelson   +6 more
doaj   +1 more source

National Land Cover Database 2019: A New Strategy for Creating Clean Leaf-On and Leaf-Off Landsat Composite Images

Journal of Remote Sensing, 2023
National Land Cover Database (NLCD) 2019 is a new epoch of national land cover products for the conterminous United States. Image quality is fundamental to the quality of any land cover product.
Suming Jin, Jon Dewitz, Patrick Danielson, Brian Granneman, Catherine Costello, Kelcy Smith, Zhe Zhu   +6 more
doaj   +1 more source

ELECTRa Registry Outcome Score (EROS): validation in a single center population.

, 2022
Introduction: The ELECTRa Registry Outcome Score (EROS) was developed to identify patients at increased transvenous lead extraction (TLE) risk Purpose: Aim of the study is to explore the efficiency of EROS for stratifying patients undergoing TLE.
L. Segreti, A. Di Cori, M. Carluccio, E. Soldati, G. Branchitta, S. Viani, T. Cellamaro, A. Canu, R. De Lucia, MG. Bongiorni, F. Fiorentini, V. Barletta, L. Paperini, M. Giannotti Santoro, G. Zucchelli   +14 more
core  

Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing

Advanced Science, EarlyView.
An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang, Rui Wang, Bo Lu, Ming‐Liang Song, Yu‐Yi Chen, Kuo Han, Xin‐Jie Feng, Bin Sun, Yao‐Guang Cao, Xiao‐Yu Yan, Shi‐Chun Yang   +10 more
wiley   +1 more source