Results 81 to 90 of about 308,375 (218)

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

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Up in the Air' or 'The Grey Mare': A Scottish and English Prosimetrical Form of ATU 1540, 'The Student from Paradise (Paris)'

Scottish Studies
A Scottish lawyers’ dramatic entertainment known in the eighteenth century contained a song which Allan Ramsay revised as ‘Up in the Air’ in his Tea-Table Miscellany (1723).
Katherine Campbell, Emily Lyle
doaj   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

God and the Creation of Adam in the Vision of Genesis Rabbah 8 and Subsequent Rabbinic Texts

Perichoresis: The Theological Journal of Emanuel University
Abtract
Botica Aurelian
doaj   +1 more source

Correlation Between A Disintegrin and Metalloproteinase (ADAM) Family Proteins (8, 10, 17, 22) and Link with Neuroplasticity in Autism Spectrum Disorder

Current Issues in Molecular Biology
Background: Autism spectrum disorder (ASD) is a condition related to neurodevelopment, typically identified by impaired social interactions and repetitive stereotypical behaviors.
Dost Muhammad Halepoto, Laila Al-Ayadhi, Abdulrahman Alhowikan, Nadra Elamin, Durria Abdulmaged, Aurangzeb Halepota, Sarah Al-Mazidi   +6 more
doaj   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

Advanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang, Zhiyuan Cheng, Chengying She, Hongwei Zhao, Jiahui Zhang, Lin Lv, Zhihao Yan, Hongwen Zhu, Lizhuang Liu, Yan Fu, Xinpei Yi   +10 more
wiley   +1 more source

Pressure‐Driven Phase Transition Unlocking Unique Eu2+ Luminescence in Li2SrSiO4 for Optical Sensing and White‐LEDs

Advanced Science, EarlyView.
This study demonstrates, for the first time, the use of a large‐format high‐pressure press to modify synthesized Li2SrSiO4:Eu2+,Cs+ phosphors after its preparation. The pressure treatment results in the formation of new materials with distinctive optical properties, opening pathways for the development of advanced LED devices and high‐performance ...
Przemysław Woźny, Peng Du, Teng Zheng, Junpeng Xue, Liang Peng, Shuailing Ma, Szymon Sobczak, Victor Lavín, Tian Cui, Marcin Runowski   +9 more
wiley   +1 more source

Analysis of deep classification grammar error correction algorithm for online English grammar teaching

Open Computer Science
To solve the insufficient educational resources in offline classroom English teaching, the research focuses on online teaching and designs an online grammar correction algorithm to help students realize automatic online error correction. The algorithm is
Xiao Zhu
doaj   +1 more source