Results 91 to 100 of about 8,261 (263)

A Perspective on the Applications of Triphasic Gas Storage in Electrochemical Systems

Advanced Science, EarlyView.
Gas storage in microporous materials positioned locally at an electrode or electrocatalyst surface enhances electrochemical processes. Abstract Microporous materials store gases under dry conditions (e.g., hydrogen or oxygen via physisorption), but in some cases microporous materials also show triphasic (e.g., in a solid|gas|liquid system) gas storage ...
Zhongkai Li, Corin T. Scott, Taku Suzuki‐Osborne, John P. Lowe, Dominic Taylor, Mariolino Carta, Neil B. McKeown, Andrew D. Burrows, Lucia H. Mascaro, Frank Marken   +9 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Waste and Recycled Material in Concrete Technology

International Journal for Research in Applied Science and Engineering Technology
The increasing demand for sustainable and eco-friendly construction materials has led to the exploration of alternative materials in concrete production. This research investigates the performance of M50 grade concrete using industrial and agricultural waste materials—Fly Ash, Rice Husk Ash (RHA), and Coconut Shells (CS)—as partial replacements for ...
openaire   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Insights Into CO2 Loss, pH Effects, and Tafel Kinetics in Ni Single Atom‐Driven Bicarbonate Electroreduction

Advanced Science, EarlyView.
Selective CO formation in bicarbonate electrolysis is achieved by retaining reactive CO2 and tuning pH, while the competing hydrogen evolution reaction occurs at the interface. The rate‐determining step couples the chemical equilibrium of bicarbonate/CO2 with electrochemical charge transfer, offering insight into optimizing reaction conditions for ...
Lin Li, Yi‐Jie Kong, Ting Zhang, Xu Han, Kristine Aalestrup, Steen Uttrup Pedersen, Xin‐Ming Hu, Kim Daasbjerg   +7 more
wiley   +1 more source

An Embodied Paper‐Based Microfluidic Al‐Air Battery for Enduring Untethered Insect‐Scale Robots

Advanced Science, EarlyView.
This work presents a centimeter‐scale microfluidic aluminum–air battery (MFAAB) with dual‐surface anode and F−‐mediated byproduct decomposition. The design enables a high capacity of 2697.05 mAh/g Al and delivers tens of milliwatts to power LEDs, motors, and a toy car.
Yun Yang, Tao Jiang, Zhongyue Lu, Dapeng Fan, Zucheng Yi, Zirong Luo   +5 more
wiley   +1 more source

Dual‐Substrate Synergistic Photocatalysis: Exogenous Reagent‐Free Co‐Removal of Phenol and Cr(VI) via Electron‐Donor‐Mediated Redox Coupling over Modified Carbon Nitride

Advanced Science, EarlyView.
An exogenous reagent‐free dual‐substrate strategy harnesses phenol as an intrinsic electron donor to drive synchronous phenol degradation and Cr(VI) reduction over modified carbon nitride. π–π stacking and hydrogen bonding direct electron transfer to the catalyst, enriching photogenerated electrons and accelerating Cr(VI) reduction 6.4‐fold. This waste‐
Xiaoman Zhang, Qiyu Wang, Xiaodan Liu, Shuqi Wan, Cuiwei Du, Qilu Li, Chongfei Yu, Shuying Dong, Xianfa Su, Chun Hu   +9 more
wiley   +1 more source

Impurity Tolerance in LiFePO4 Cathodes: Contrasting Structural, Electronic, and Electrochemical Roles of Residual Ni and Cr

Advanced Science, EarlyView.
Impurity tolerance in LiFePO4 cathodes varies strongly with impurity type and content. Low Ni levels are accommodated within the lattice with minimal structural disruption, whereas higher Ni contents introduce antisite disorder. In contrast, Cr impurities segregate from the LiFePO4 framework, blocking lithium‐ion pathways and leading to inferior ...
Minjin Kim, Hyerin Jeon, Jinhee Lee, Jinsub Choi   +3 more
wiley   +1 more source