Papers citing Accelerated Data-Driven Accurate Positioning of the Band Edges of MXenes
Machine Learning-Assisted Screening of Hexagonal 2D van der Waals Bilayers for Photocatalysis
The Journal of Physical Chemistry C · 2024
Arooba Kanwal, Abdul Jalil, Syed Raza Ali Raza
Read original paper ↗ ·Enhanced solar harvesting efficiency in nanostructured MXene monolayers based on scandium and yttrium
Nanoscale · 2025
Bill D. Aparicio-Huacarpuma, Marcelo Lopes Pereira, Maurício J. Piotrowski, Celso R. C. Rêgo, Diego Guedes‐Sobrinho, Luiz Antônio Ribeiro, Alexandre Cavalheiro Dias
Read original paper ↗ ·First-principles and machine-learning approaches for interpreting and predicting the properties of MXenes
npj 2D Materials and Applications · 2025
José Daniel Gouveia, Tiago L. P. Galvão, Kais Iben Nassar, José R. B. Gomes
Read original paper ↗ ·Advancing SERS Applications of 2D Materials through the Interplay of Rational Design and Structure‐Property Relationships
Small Methods · 2025
Aditya Kumar Thakur, Ruchi Singh, Vikas Yadav, Soumik Siddhanta, Kolleboyina Jayaramulu
Read original paper ↗ ·Advancements in MXene transformation: Nanoarchitectonics for biomedical and energy applications
Journal of Alloys and Compounds · 2025
Muhammad Altaf Nazir, Kinza Maqsood, Sami Ullah, Abdul Rauf, Ibrahim A. Shaaban, Rashid Iqbal, Awais Ahmad, Muhammad Sufyan Javed, Tayyaba Najam, Md Rezaul Karim, Syed Shoaib Ahmad Shah
Read original paper ↗ ·MXene Material Property Prediction via Transfer Learning with Graph Neural Networks
Venue not supplied by source · 2025
Eric Warnemunde Vertina, Sajal Chakroborty, Emily Sutherland, Nathaniel Aaron Deskins, Oren Mangoubi
Read original paper ↗ ·MXgap: A MXene Learning Tool for Bandgap Prediction
ACS Catalysis · 2025
Diego Ontiveros, Sergi Vela, Francesc Viñes, Carmen Sousa
Read original paper ↗ ·Machine Learning Integrating Surface Features and Crystal Similarity for Exploring 2D Materials
The Journal of Physical Chemistry Letters · 2025
Junhao Liang, Caiyuan Ye, Xinyi Lin, Chunlin Yu, Yilimiranmu Rouzhahong, Chao Lun Liang, Huashan Li
Read original paper ↗ ·Machine-Learning-Enabled High-Throughput MXene Property Prediction
Venue not supplied by source · 2025
Eric Warnemunde Vertina, Emily Sutherland, Sajal Chakroborty, Nathaniel Aaron Deskins, Oren Mangoubi
Read original paper ↗ ·Unveiling Process–Structure Mapping with a Deep Variational Autoencoder
IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 2025
Avanish Mishra, Brenden W. Hamilton, Mashroor S. Nitol, Nithin Mathew, Kipton M. Barros, Timothy Clark Germann, Saryu Jindal Fensin
Read original paper ↗ ·Nb 2 CBr 2 MXene Monolayer as a Novel Material: A First Principle Study
Advanced Theory and Simulations · 2025
Leonardo S. Barbosa, Willian Oliveira Santos, Félix Silva Costa, Edvan Moreira, David L. Azevedo
Read original paper ↗ ·Artificial intelligence transforming materials research: possible road ahead for India
Proceedings of the Indian National Science Academy · 2025
Prasenjit Sen
Read original paper ↗ ·Machine learning aided design of reversible MXene electrocatalysts for Li–air batteries
Journal of Materials Chemistry A · 2026
Sandeep Das, Souvik Manna, Amitabha Das, Brindaban Modak, Biswarup Pathak
Read original paper ↗ ·Recent progress in density functional theory and machine learning for predicting MXene properties
Journal of Materials Science · 2026
Mokhtar Hjiri, Nazir Mustapha
Read original paper ↗ ·Design and synthesis of Ti3C2 and Ti3C2Tx MXenes for sensing, energy, and electromagnetic interference shielding: Advancing multifunctional applications with machine learning-assisted material design
Advanced Sensor and Energy Materials · 2026
Vimukthi Dananjaya, Nethmi Hansika, Sathish Marimuthu, Constantinos Soutis, Sharad Dnyanu Pinjari, Rohit Ranganathan Gaddam, Ashok Kumar Nanjundan, Andrews Nirmala Grace, Chamil Abeykoon
Read original paper ↗ ·ϒ-scheme heterojunction photocatalyst: Polarization-driven charge separation beyond interfacial limitations
Physical Review Applied · 2026
Anonymous, Lei Li, Tao Huang, Hui Wan, X. S. Wang, Gui‐Fang Huang, Wangyu Hu, Wei‐Qing Huang
Read original paper ↗ ·MXenes From Fundamentals to Market: Structural Characteristics, Emerging Synthesis Routes, Applications, and AI‐Accelerated Innovations
Advanced Engineering Materials · 2026
Vaibhav Jain, Bhavya Jain, Bhavya Jain, Ashish Kalkal, Shailaja Keyur Sampat, Vasu Jain, Vasu Jain
Read original paper ↗ ·