Results 131 to 140 of about 5,416,756 (285)

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

Advanced machine learning techniques for predicting dump slope stability in Indian opencast coal mines

Scientific Reports
The majority of India’s coal is mined using opencast methods, which causes more waste dumps to be formed and stability problems. There is a higher chance of dump instability because to the 1148 million cubic meters of overburden that Coal India Limited ...
Arun Kumar Sahoo, Debi Prasad Tripathy, Singam Jayanthu   +2 more
doaj   +1 more source

Türkiye'de Emsal Kararların Makine Öğrenmesi Algoritmaları ile Sınıflandırılması

Gazi Üniversitesi Fen Bilimleri Dergisi
Son yıllarda yapay zeka (YZ), büyük veri ve veri analitiği gibi alanlardaki hızlı gelişmeler, birçok sektörde çalışma temposunu ve iş yoğunluğunu azaltmıştır.
Süleyman Kürşat Demir , Emrah Aydemir, Yasin Sönmez   +2 more
doaj   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Individual-Aware Gradient Boosting Regression for Visual Saliency Prediction of Damaged Regions in Ancient Murals

Applied Sciences
Murals are vital cultural heritage assets, yet many are increasingly threatened by long-term natural weathering, environmental erosion, and human-induced damage.
Naiyu Xie, Yingchun Cao, Bowen Zhang
doaj   +1 more source

Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction

Advanced Science, EarlyView.
Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen, Bapan Biswas, Apinya Ngoipala, Julia Wiktor, Ujjwal Pal, Shalini Singh   +5 more
wiley   +1 more source

Proximity to water shapes the distribution of natural elephant mortality in Hwange National Park, Zimbabwe

Scientific Reports
While elephant poaching has received considerable attention, natural mortality can at times surpass human-induced deaths, especially under environmental stress.
Blessing Kavhu, Kudzai Shaun Mpakairi, Nobesuthu Ngwenya, Timothy Kuiper, Henry Ndaimani, Edson Gandiwa   +5 more
doaj   +1 more source

Ferroelectric Catalysts in the Hydrogen Evolution Reaction: A Perspective

Advanced Science, EarlyView.
This perspective summarizes recent advances in ferroelectric (FE) catalysts for the hydrogen evolution reaction (HER). It first introduces HER fundamentals and FE mechanisms, then classifies FE catalysts into single‐phase, single‐atom‐modified, heterostructured, and other engineered types, with representative examples.
Rongxuan Lu, Weizhen Meng, Zhenxiang Cheng, Judy N. Hart, Michael Ferry, Sean Li, Wenxian Li   +6 more
wiley   +1 more source

Deciphering Anti‐Cancer Drug Efficacy Through Nanomechanical Vibrations in Living Gastric Cancer Organoids

Advanced Science, EarlyView.
This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang, Qiubo Chen, Shihai Lan, Liang Zhu, Shuaiyu Liu, Yan Xia, Yalu Zhang, Hanhui Yao, Yongman Liu, Shangquan Wu, Qingchuan Zhang   +10 more
wiley   +1 more source