Papers citing Machine learning-guided synthesis of advanced inorganic materials
Machine learning-assisted highly efficient thermal management in function-oriented thermochromic smart windows
Light Science & Applications · 2026
Zhengui Zhou, Changyuan Chen, Bin Li, Rong Liu, Shouqin Tian, Bin Hu, Yi Long
Read original paper ↗ ·Data-richness-driven machine learning for predictive design of high-performance g-C₃N₄ photocatalysts in NO removal
Results in Engineering · 2026
Tianfang Li, Caijuan Xia, Huanyu Pei, Hongjuan Hao, Wingkei Ho, Dingze Lu
Read original paper ↗ ·Leveraging large language models to address data scarcity in machine learning for graphene synthesis
Diamond and Related Materials · 2026
Devi Dutta Biswajeet, Sara Kadkhodaei
Read original paper ↗ ·Highly conductive and transparent Ga-doped ZnO thin films through data-guided optimization of nonlinear PLD process space
AIP Advances · 2026
Gitanjali Mishra, Ashutosh Tiwari
Read original paper ↗ ·Machine learning for cracking the molecular code of room-temperature organic phosphorescent materials: From structure-property relationship to performance prediction
Green Energy & Environment · 2026
Yan Hu, Senlin Tian, Yingjie Li
Read original paper ↗ ·Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency
Advanced Science · 2026
Qintao Sun, Xuewei Gu, Yulin Jie, Hao Yang, Shuhong Jiao, Chao Tang, Yangping Sheng, Yuhao Lu, Ruiguo Cao, Tao Cheng
Read original paper ↗ ·Physics-guided Gaussian process framework for data-efficient optimization of APCVD growth of 2D semiconductor WS2
Materials Science in Semiconductor Processing · 2026
Ayub Sekh, Vijay Kumar Singh
Read original paper ↗ ·