Results 71 to 80 of about 12,069,491 (256)

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

Advanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun, S. M. Rifatur Rana, Md. Golam Morshed, Imrose Jahan, F. A. Sabbir Ahamed, Md. Jahedul Islam   +5 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Optimization of Saponification Process for Quantification of Individual and Total Tocopherols and Phytosterols in Canola Oil Refining By‐Products

Journal of the American Oil Chemists' Society, EarlyView.
ABSTRACT In this study, saponification variables were optimized using a face‐centred central composite design‐response surface methodology. The variables included reaction temperature (50°C–120°C), reaction time (30–180 min), KOH concentration (0.5–3 M) and pyrogallol concentration (0–1% w/v).
Milad Kazemi, Paul Prenzler, Lachlan Schwarz, Michael Loughlin, Randy Adjonu   +4 more
wiley   +1 more source

Optimization of F¯ Removal From Wastewater Utilizing Alternating Current Electrocoagulation Coupled With Sonication Using a Statistical Design Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Combining electrochemical and advanced oxidation processes (AOPs) has greatly mitigated the limitations of electrocoagulation (EC) in water treatment. This study examined the effectiveness of sonolysis (US)‐assisted alternating current (AC)–EC in reducing fluoride (F¯) from landfill leachate wastewater (LLW), with measurements of electrical ...
Perumal Asaithambi, Madhappan Santhamoorthy, Arun Thirumurugan, Suresh Pratap, Bheem Pratap, Ravikumar Jayabal, Vishal Kumar Parida, Subramaniapillai Niju   +7 more
wiley   +1 more source

Coded levels of independent variables used in response surface methodology (RSM).

, 2018
Coded levels of independent variables used in response surface methodology (RSM).
Chin-Ping Tan (5683808), Oi-Ming Lai (5451479), Sivaruby Kanagaratnam (5683820), Yoke-Kqueen Cheah (5683811), Wai-Ting Chong (5683805), Ahmad Firdaus B. Lajis (5683814), Noor Lida Habi Mat Dian (5683817)   +6 more
core   +1 more source

Research on Heat Transfer Enhancement of Spiral Grooved Tube Heat Exchangers Based on CFD and Artificial Intelligence

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Driven by the energy crisis and carbon neutrality goals, high‐efficiency heat exchange equipment has become a core demand in the industrial sector. The spiral grooved double‐pipe heat exchanger exhibits significant heat transfer enhancement advantages, yet it requires balancing heat transfer efficiency and pressure loss.
Yueyun Yang, Wei Li, Xiuzhi Xi, Neng Gao
wiley   +1 more source

Modelling and optimization of machining parameters during hardened steel AISID3 turning using RSM, ANN and DFA techniques: Comparative study

Journal of Mechanical Engineering and Sciences, 2020
Nowadays, the relationships linking the cutting conditions to the different technological parameters are becoming a major industrial objective.  The present work deals with some machinability investigations involving surface roughness and cutting force ...
Bouzid Lakhdar, Yallese Mohamed Athmane, Belhadi Salim, A. Haddad   +3 more
doaj   +1 more source

Optimization of Biodiesel (MOME) Using Response Surface Methodology (RSM)

International journal of Emerging Trends in Science and Technology, 2016
1,2 Petroleum Refining and Petrochemical Technology Laxminarayan Institute of Technology, Nagpur, Maharashtra, India Email: vinitdube860@gmail.com Abstract Today about 80% of world energy requirement is provided by petroleum products. Its, extensive utilization has led to climate change, environmental pollution, and health problems.
openaire   +1 more source

Response-Surface Methods in R, Using rsm [PDF]

This article describes the recent package rsm, which was designed to provide R support for standard response-surface methods. Functions are provided to generate central-composite and Box-Behnken designs.
Russell V. Lenth
core