Papers citing Machine learning in experimental materials chemistry
Biomass valorization with metal-free catalysts: innovations in thermocatalytic, photocatalytic, and electrocatalytic approaches
Chemical Society Reviews · 2025-01-01
Arzoo Chauhan, Rajendra Srivastava
Read original paper ↗ ·Prediction of Surface Area of Material (MnO2) by Neuro-Fuzzy Techniques
INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS · 2025-01-01
Dinesh Kumar, Poonam Kumari
Read original paper ↗ ·A Machine Learning Model for the Prediction of Water Contact Angles on Solid Polymers
The Journal of Physical Chemistry B · 2025-03-03
Jose Sena, Linus O. Johannissen, Jonny James Blaker, Sam Hay
Read original paper ↗ ·Shape-functional fusion metamaterials for vibration isolation by integrating forward and reverse deep leaning-driven design
Mechanical Systems and Signal Processing · 2025-04-17
Zeliang Zhang, Jianfei Yao, Fabrizio L. Scarpa, Jinji Gao
Read original paper ↗ ·A deep learning-assisted inverse design framework for nacre-like composites with excellent specific damping performance
Composites Part A Applied Science and Manufacturing · 2025-05-28
Yibo Gao, Linghua Xiao, Xiaobin Li, Yan Li, Ke Duan, Yonglyu He, Li Li
Read original paper ↗ ·Statistical and artificial intelligence approaches towards the optimization of thermoelectric materials synthesis: a review
Energy Materials · 2025-06-13
Wei‐Hsin Chen, K. Aishwarya, Kripasindhu Sardar
Read original paper ↗ ·A Conversational Large‐Language‐Model Tutor that Accelerates Machine‐Learning Method Development in Routine Bioanalytical Workflows
ChemBioChem · 2025-09-29
An T. H. Le, Thomas Shvekher, Lewis Nguyen, Sergey N. Krylov
Read original paper ↗ ·Engineering Hierarchical Zeolites: Mechanistic Insights, Predictive Framework, and Deployment Pathways
Comments on Inorganic Chemistry · 2025-10-14
Syed Abdul Moiz Hashmi, Waqar Hussain, Hina Bhanbhro, Hammad Rasool
Read original paper ↗ ·An overview of biofuels with artificial intelligence
Elsevier eBooks · 2025-11-08
Muhammad Arif, El‐Sayed Salama
Read original paper ↗ ·An Explainable Stacked Machine Learning Approach for Toluene Capture in Metal‐Organic Frameworks: From Predictive Modeling to Interactive Web Platform
Carbon Neutralization · 2025-12-29
Juntao Zhang, Chenhui He, Yujing Ji, Zhimeng Liu, Hongyi Gao
Read original paper ↗ ·Computational approach to green chemistry
Developments in environmental science · 2026-01-01
Mubashar Ali, Muhammad Raheel, Zunaira Bibi, Raheela Eesa
Read original paper ↗ ·Topology Meets Reactivity: Rationalizing Electron Rearrangements in Cycloadditions Through Thom’s Polynomials and Bonding Evolution Theory
Reactions · 2026-01-01
Leandro Ayarde Henríquez, Cristian Guerra, Hans Lenes, Elizabeth Rincón, Eduardo E. Chamorro
Read original paper ↗ ·Machine Learning-Enhanced Molecular Dynamics: Current State, Challenges and Perspectives
Archives of Computational Methods in Engineering · 2026-01-24
Christos Stavrogiannis, Filippos D. Sofos, Theodoros E. Karakasidis
Read original paper ↗ ·Machine learning-driven composition optimization for high strength and ductility in Al-Mg-Si-Zr-Er alloys
Journal of Alloys and Compounds · 2026-03-20
Tianjie Wang, Shaohong Li, Jie Yuan, Jun Li, Liexing Zhou, Junwan Li, Hengyong Bu, Huarong Qi, Min Li
Read original paper ↗ ·Data-driven transfer learning across MOF-derived zirconia polymorphs
npj Computational Materials · 2026-07-28
David Gryc, Ioannis Kouroudis, Pritam Banerjee, E. Eja Petersen, Qiu Zhuang, Maissa Mansour, Aziz Ben Ali, Romy L. Ettlinger, Alessio Gagliardi, Joerg Ralf Jinschek, Mian Zahid Hussain
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 · 2026-08-01
Yan Hu, Senlin Tian, Yingjie Li
Read original paper ↗ ·