Results 211 to 220 of about 151,967 (341)

From Processing to Performance: A Multi-Scale Machine Learning Framework for SBS-Modified Asphalt Gels with Multi-Target Correlation and Explainable AI. [PDF]

Gels
Wu Z, Ma X, Qiu M, Fang C, Liu W, Wang D.   +5 more
europepmc   +1 more source

Unveiling Mechanisms of SEI Formation and Sodium Loss in Sodium Batteries via Interface Reactor Sampling

Advanced Science, EarlyView.
An “Interface Reactor” strategy boosts simulation stability by 2–3 orders of magnitude, enabling stable 100 ns molecular dynamics of electrode‐electrolyte interfaces. Distinct SEI formation mechanisms are revealed: mixed co‐formation in carbonates versus surface‐energy‐controlled NaF crystallization in ethers. Metadynamics simulations further elucidate
Zhoulin Liu, Ziliang Wang, Zherui Chen, Jianchun Sha, Fengzijun Pan, Pingyang Zhang, Yinghe Zhang   +6 more
wiley   +1 more source

Performance Curve Prediction Method for Centrifugal Compressor Based on BOA-BPNN

Shiyou jixie
To enhance the status monitoring accuracy and operation and maintenance intelligence level of compressors， taking PCL803 centrifugal compressor in a natural gas pipeline as an example， a centrifugal compressor performance curve prediction method based on
Zhu Wangyou, Liu Jiahao, Yang Junming, Liu Zhen, Hou Lei   +4 more
doaj  

Prediction model for compressive strength of alkali-activated multi-source solid-waste grouting materials based on generative adversarial networks and machine learning. [PDF]

PLoS One
Yue Q, Yu G, Yao Y, Yang Z, Li Y, Bai L, Xiong G.   +6 more
europepmc   +1 more source

CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction

Advanced Science, EarlyView.
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su, Xitao Wang, Musen Li, Guanhua Qin, Shunbo Hu, Tong‐Yi Zhang   +5 more
wiley   +1 more source

Multi-Objective Optimization and Prediction of Mechanical Properties of Green Basalt Fiber-Reinforced Concrete Using Evolutionary ML Algorithms. [PDF]

Materials (Basel)
Mamun AA, Aburizaiza M, Sindi W, Khan MI, Haque ME, Al-Shayeb A, Shatnawi Z, Islam MK, Martuza MA, Arifuzzaman M.   +9 more
europepmc   +1 more source

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

Advanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang, Yuqi Zhang, Xuzhe Zhao, Yansong Tang, Kaichen Dong   +4 more
wiley   +1 more source

Human-like AI-based auto-field-in-field whole-brain radiotherapy treatment planning with conversation large language model feedback. [PDF]

J Appl Clin Med Phys
Jafar A, Qin A, Atkins G, Hu X, Gao Y, Jia X.   +5 more
europepmc   +1 more source

Data‐Driven Design of Self‐Adhesive Epidermal Electrodes and Sensors

Advanced Science, EarlyView.
This work presents self‐adhesive, stretchable epidermal electrodes and sensors developed through a data‐driven design framework that integrates artificial neural networks with genetic algorithms. By tailoring optimization objectives, either maximizing electrical conductivity and adhesion or enhancing piezoresistive sensitivity, the study enables the ...
Xuan Li, Shilei Wang, Milad Razbin, Danish Tahir, Chen Sang, Shuhua Peng, Markus Müllner, Wenlong Cheng, Wei Chen, Chun Hui Wang, Shuying Wu   +10 more
wiley   +1 more source

Kernel-Weighted Aggregation for Hyperparameter-Free Quantum Federated Learning. [PDF]

Entropy (Basel)
Huang R.
europepmc   +1 more source