Results 181 to 190 of about 2,129,015 (277)

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Effect of Sintering Temperature on Densification, Microstructure, and Corrosion Behavior of Ti6Al4V/20Cu Composites Fabricated by Powder Metallurgy. [PDF]

Materials (Basel)
Solorio VM, Vergara-Hernández HJ, Mihalcea E, Villalobos-Brito J, Alvarado-Hernandez F, Cabezas-Villa JL, González-Gómez G, Machado-López MM, Olmos L.   +8 more
europepmc   +1 more source

Integrated Bipolar Membrane Electrodialysis and Electrolysis for CO2 Capture and Conversion

Advanced Energy Materials, EarlyView.
This work demonstrates an integrated BMEED platform that couples CO2 capture and conversion within a single modular system. By combining BMED with CO2E, high‐purity CO is produced while avoiding intermediate stripping, excessive capital and O&M costs, and external gas feeds.
Hyuck Joo Choi, Hakhyeon Song, Mohammed Tahmid, Hyeonuk Choi, Jihun Oh, Marta C. Hatzell   +5 more
wiley   +1 more source

Optimization of Nanosecond Laser Polishing Process for TC4-B₄C Composite Material and Study on Surface Quality. [PDF]

Materials (Basel)
Zhang J, Yang Y, Zhu L, Xu W, Liu Z.
europepmc   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

Integration and mechanical and water absorption characteristics of treated natural fiber-titanium nanoparticles embedded polyester composites. [PDF]

Sci Rep
Aruna M, Nagarajan N, Rathore S, Dey P, Albert HM, Ram MJ, Maranan R, Murali M, Sathiyamurthy S, Sivanraju R.   +9 more
europepmc   +1 more source

Functionalized TiO2 Catalysts: Revolutionary Candidate for Low‐Temperature MgH2 and Prospects for Intelligent Integration

Advanced Intelligent Discovery, EarlyView.
Recent advances in TiO2 modification strategies: structure regulation and composite engineering for improved activity and functionality. TiO2 has emerged as a pivotal catalyst for enhancing MgH2, a high‐capacity solid‐state hydrogen storage material, owing to its structural versatility.
Xiaopeng Chu, Jinghao Wang, Haojie Shi, Chuanxin Peng, Jiacheng Qi, Ge Gao, Guoquan Na, Haibo Yu, Kela Xiao, Gangqiang Wu, Zhendong Yao   +10 more
wiley   +1 more source

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley   +1 more source

Effects of Simulated Service Environments on the Microstructure and Interfacial Properties of Ceramic Fiber-Reinforced Al-Matrix Composites. [PDF]

Materials (Basel)
Chu D, Wang Y, Zhou F, Liu R, Zhu L, Peng Q.   +5 more
europepmc   +1 more source

Assessment of In Vitro Nano‐Cytotoxicity Through Fluorescence Microscopy via Neural Network‐Based Live/Dead Cell Classification

Advanced Intelligent Systems, EarlyView.
FluoAI is a two‐stage, label‐free method for quantifying nanomaterial‐induced cytotoxicity from conventional fluorescence microscopy images. Mask R‐CNN segmentation and DenseNet‐121 classification provide rapid live/dead classification matching human accuracy.
Ugur C. Topkiran, Ali Gasimli, Lal Durmaz, Diya Vashani, Himish Paul, Giridhar R. Akkaraju, Anton V. Naumov   +6 more
wiley   +1 more source