Results 211 to 220 of about 45,889 (314)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Design of an iterative adaptive method for volatility-aware test case prioritization in rapidly evolving software systems. [PDF]

MethodsX
Rao KS, Rao AA, Raju PR.
europepmc   +1 more source

Biolipid Film‐Fused Electrochemiluminescence for Multipurpose In Situ Bioassays

Advanced Science, EarlyView.
An ECL‐emissive, membrane‐interactive scaffold was fabricated, and facilely fused with natural and non‐native phospholipids into multifactorial mimicries of cytomembranes and vesicles for in vitro representative membrane‐process probing. Such a biointerface‐based, state‐sensitive ECL paradigm not only pinpointed proximal phenomena, including channeling
Jialiang Chen, Bin Li, Yingying Wang, Fulin Zhu, Wenxuan Yang, Xuanyu Fu, Tiantian Man, Qiuyue Wu, Kewei Ren, Shengyuan Deng   +9 more
wiley   +1 more source

The Toothache of Rabbi Judah ha-Nasi. [PDF]

Rambam Maimonides Med J
Zadik Y.
europepmc   +1 more source

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

Automatische Generierung effizienter Compiler

, 2022
Grosch, J.
core  

A full-stack memristor-based computation-in-memory system with software-hardware co-development. [PDF]

Nat Commun
Yu R, Wang Z, Liu Q, Gao B, Hao Z, Guo T, Ding S, Zhang J, Qin Q, Wu D, Yao P, Zhang Q, Tang J, Qian H, Wu H.   +14 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Diagnostic Accuracy of a Multi-Target Artificial Intelligence Service for the Simultaneous Assessment of 16 Pathological Features on Chest and Abdominal CT. [PDF]

Diagnostics (Basel)
Nechaev VA, Kashtanova NY, Kopeykin EV, Magomedova UM, Gribkova MS, Hardin AV, Sekacheva MI, Sanikovich VD, Chernina VY, Gombolevskiy VA.   +9 more
europepmc   +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