Results 21 to 30 of about 178 (90)

Beyond d‐Band Catalysis: A Critical Review and Descriptor Framework for Rare‐Earth Engineering in Lithium–Sulfur Batteries

Advanced Science, Volume 13, Issue 38, 9 July 2026.
Rare‐earth catalysts regulate lithium–sulfur battery chemistry through f‐orbital–mediated interactions, enabling simultaneous polysulfide adsorption and catalytic conversion on conductive carbon hosts. This synergistic control suppresses the shuttle effect, accelerates redox kinetics, and guides stable Li2S nucleation, providing a mechanistic framework
Fan Wang, Shihzad Shakil, Guozhi Wu, Jiarui Huang, Hanhui Lei, Terence Xiaoteng Liu   +5 more
wiley   +1 more source

Emerging Machine Learning Strategies for Digital Processing and Additive Manufacturing of Advanced Ceramics

International Journal of Applied Ceramic Technology, Volume 23, Issue 3, June 2026.
ABSTRACT Machine learning (ML) techniques are increasingly being applied to the development and processing of advanced ceramics, enabling predictive design, formulation optimization, and improved control of manufacturing workflows. This review presents an integrated and application‐oriented analysis of ML approaches in ceramic engineering, with ...
Sioney Teixeira Monteiro, Isaac A. T. Monteiro, J. R. Fernandez‐Gamboa, Yurimiler Leyet Ruiz   +3 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Functionalizing Conductive Diamond: Recent Advance in Fabrication, Modifications, and Applications

Carbon Energy, Volume 8, Issue 5, May 2026.
This review highlights recent advancements in the synthesis, modification, and electrochemical applications of conductive diamond, particularly boron‐doped diamond (BDD). It emphasizes progress in fabrication methods, including CVD and HPHT, and explores modifications such as doping, surface terminations, and composite design, enabling significant ...
Ning Linghu, Xin Jiang, Jing Xu
wiley   +1 more source

Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair

Advanced Science, Volume 13, Issue 22, 17 April 2026.
This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu, Nhu An Phan, Sy Trung Ngo, Minh Tri Phan, Thanh‐An Truong, Chi Cong Nguyen, Phuoc Thien Phan, Hoang‐Phuong Phan, Thanh Nho Do, Mai Thanh Thai   +9 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, Volume 2, Issue 2, April 2026.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

A Review on Explainable, Federated Multimodal AI for Heart Disease Detection Using ECG, Cardiac Imaging, and Electronic Health Records

Engineering Reports, Volume 8, Issue 4, April 2026.
Heart disease remains one of the most critical health challenges globally, accounting for a substantial number of deaths each year. With ML, DL, and FL coming into existence, early diagnosis of heart disease through ECG, Cardiac Imaging, and EHRs became increasingly feasible.
P. Murali, S. Meenatchi
wiley   +1 more source

Hybrid GRA–Machine Learning Framework for Surface and Performance Optimization of Ti49.3Ni50.7 SMA in Biomedical Applications

Engineering Reports, Volume 8, Issue 4, April 2026.
Ti49.3Ni50.7 shape memory alloy is highly biocompatible but difficult to machine due to its complex thermo‐mechanical behavior. An enhanced Wire EDM process was developed using a Taguchi L18 design, GRA, and Random Forest with Bayesian optimization. The optimized parameters achieved a surface roughness of 1.298 μm and a material removal rate of 2.537 ...
Adik M. Takale, Uday A. Dabade, Mukesh Kumar, B. Vinod, Manjunath G. Avalappa, Uttam U. Deshpande, Kishor K. Powar   +6 more
wiley   +1 more source

A Hybrid Data-Driven Metaheuristic Framework to Optimize Strain of Lattice Structures Proceeded by Additive Manufacturing. [PDF]

Micromachines (Basel), 2023
Zhang T, Sajjad U, Sengupta A, Ali M, Sultan M, Hamid K.   +5 more
europepmc   +1 more source