Results 141 to 150 of about 18,505 (291)

Improving the Thermoelectric Properties of Conjugated Polymer Thin Films by Dip Coating – but not through Alignment

Advanced Electronic Materials, EarlyView.
The study demonstrates that dip coating at lower speeds significantly enhances the thermoelectric performance of P3HT by improving electrical conductivity. Contrary to expectations, this improvement is seemingly not due to polymer alignment but rather to better structural order achieved during slower solvent evaporation at lower dip coating speeds ...
Morteza Shokrani, Andrey Alekseevich Butkevich, Martijn Kemerink   +2 more
wiley   +1 more source

Toward Reliable Metal Halide Perovskite FETs: From Electronic Structure and Device Physics to Stability and Performance Engineering

Advanced Electronic Materials, EarlyView.
Metal halide perovskite field‐effect transistors (PeFETs) offer great promise for flexible, low‐cost, and high‐performance due to their excellent charge carrier properties. However, challenges like ion migration, hysteresis, and instability limit their performance.
Georgios Chatzigiannakis, Anastasia Soultati, Leonidas C. Palilis, Ermioni Polydorou, Konstantinos Davazoglou, Petros‐Panagis Filippatos, Goutham Raj Perumallapelli, Ravindra Naik Bukke, Abd. Rashid bin Mohd Yusoff, Ilhwan Ryu, Peng Gao, Alexander Chroneos, Mohammad Khaja Nazeeruddin, Maria Vasilopoulou   +13 more
wiley   +1 more source

Design of Power Transformer Fault Detection of SCADA Alarm Using Fault Tree Analysis, Smooth Holtz–Winters, and L-BFGS for Smart Utility Control Centers

IEEE Access
When a trip occurs, the utility of company-type 115/22 kV loading transformer trips out of the electrical system, cutting off power to the distribution of a company customer. The outage damage is valuable at 8.5 US/kWh.
Radomboon Taksana, Natin Janjamraj, Sillawat Romphochai, Krischonme Bhumkittipich, Nadarajah Mithulananthan   +4 more
doaj   +1 more source

Forecasting Water Pollution in Cengklik Reservoir Using Triple Exponential Smoothing Method

Jurnal E-Komtek (Elektro-Komputer-Teknik)
Water quality is a crucial element for the sustainability of ecosystems and human life, yet it is often threatened by pollution resulting from human activities. Cengklik Reservoir in Boyolali Regency has shown increasing levels of pollution influenced by domestic waste, agricultural fertilizers, and residual fish feed from Floating Net Cages (KJA ...
null Nooriza Modistira Sakti, Dimara Kusuma Hakim, null Elindra Ambar Pambudi, null Maulida Ayu Fitriani   +3 more
openaire   +1 more source

Stability of Perovskite Indoor Photovoltaics: A Focused Review and a Call for Standardized Stability Reporting

Advanced Energy Materials, EarlyView.
While perovskite solar cells have been widely studied, including their stability, perovskite indoor photovoltaics (IPVs) have only recently emerged. Nevertheless, more studies are appearing in the literature. The systematic stability study of IPVs is crucial, particularly given the inconsistencies in reported methodologies and results, which call for ...
Ivy Mawusi Asuo, Arezo Mahdavi Varposhti, Cyril Chu Fubin Kumachang, Gopal Krishnamurthy Grandhi, Vincenzo Pecunia, Thomas Meredith Brown, Paola Vivo, Nutifafa Yao Doumon   +7 more
wiley   +1 more source

A multiscale Bayesian optimization framework for process and material codesign

AIChE Journal, EarlyView.
Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
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, EarlyView.
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

Accelerating Surface Composition Characterization of Thin‐Film Materials Libraries Using Multi‐Output Gaussian Process Regression

Advanced Intelligent Discovery, EarlyView.
To integrate surface analysis into materials discovery workflows, Gaussian process regression is used to accurately predict surface compositions from rapidly acquired volume composition data (obtained by energy‐dispersive X‐ray spectroscopy), drastically reducing the number of required surface measurements on thin‐film materials libraries.
Felix Thelen, Florian Lourens, Alfred Ludwig   +2 more
wiley   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source