Results 211 to 220 of about 354,197 (292)

Engineering Biochar‐Derived Functional Materials for High‐Performance Supercapacitors: Design Principles, Mechanisms, and Scalable Strategies

Carbon Energy, EarlyView.
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal, Avinash C. Mendhe, Mayna Roy, Neha S. Barse, Taejoon Park, Han‐Seung Lee, Haigun Lee   +6 more
wiley   +1 more source

Sustainable materials selection with emerging structural materials. [PDF]

Npj Mater Sustain
Burdett S, Arora M, Myers RJ.
europepmc   +1 more source

Functionalized Organic Lithium Salt Enables Flexible Solid‐State Electrolytes With Dual‐Ion Channels for Safe Li Metal Batteries

Carbon Energy, EarlyView.
Here, we design a flexible and non‐flammable solid‐state electrolyte with hierarchical dual‐ion conductive channels. The engineered electrolyte combines continuous organic conductive‐phase pathways for fast bulk Li+ transport and dynamic polymer networks for interfacial ion hopping, achieving unprecedented room temperature conductivity (> 1 mS cm−1 ...
Yijing Liu, Zifan Bu, Han Fang, Xiao Xu, Jinrui Hu, Lixia Bao, Weibo Kong, Jiliang Wang   +7 more
wiley   +1 more source

Influence of Training-Testing Data Variation on ML-Based Deflection Prediction of GFRP-Reinforced High-Strength Concrete Beams. [PDF]

Polymers (Basel)
Karabulut M.
europepmc   +1 more source

Key Challenges for Commercializing Perovskite–Silicon Tandem Solar Cells

Carbon Energy, EarlyView.
This review discusses the scientific and technological challenges in advancing perovskite–silicon tandem solar cells (PSTSCs) from lab‐scale to commercial viability, focusing on long‐term stability, scalability, and economic feasibility. Key issues include intrinsic and extrinsic degradation factors, installation conditions, environmental impacts, and ...
Bilal Mehmood, Yuanyuan Qin, Abdul Sattar, Rabeea Eman, Faheem Abbas, Shan Wu, Yipeng Xu, Xu Zheng, Jiangying Lu, Wei Jiang, Jiankai Liu, Shudi Lu, Shizhong Yue, Zhijie Wang, Kong Liu, Xiaopeng Zheng, Shengchun Qu   +16 more
wiley   +1 more source

Estimating the surface chloride concentration of marine concrete utilizing advanced hybrid machine learning models. [PDF]

Sci Rep
Ullah I, Alabduljabbar H, Javed MF, Alaskar A, Khan WU, Ahmad F.   +5 more
europepmc   +1 more source

Advanced control of non‐isothermal axial dispersion tubular reactors with recycle‐induced state delay

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract We develop a delay‐aware estimation and control framework for a non‐isothermal axial dispersion tubular reactor modelled as a coupled parabolic‐hyperbolic PDE system with recycle‐induced state delay. The infinite‐dimensional dynamics are preserved without spatial discretization by representing the delay as a transport PDE and adopting a late ...
Behrad Moadeli, Stevan Dubljevic
wiley   +1 more source

Prediction of crack repair percentage in self-healing concrete using machine learning. [PDF]

Sci Rep
Khosravi H, Kiani P, Bahram M, Lezgy-Nazargah M.   +3 more
europepmc   +1 more source

How to ‘survive’ after graduating in science or engineering: Becoming an academic administrator

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This is the eighth article in the series ‘Survival Skills for Scientists’; previous papers were published in the Journal of Materials Education. Here I describe my views, based partly on personal experience, about pursuing an alternative career path within academia: becoming an administrator (e.g., Department Chair, Dean, Vice‐President ...
Federico Rosei
wiley   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source