Results 111 to 120 of about 3,170,537 (296)
Epilogue: Anxieties About Culture and Tradition--Property as Reification
The articles in this special issue on intellectual property in the Pacific document anxieties about culture and tradition, and about the intrusion of ideas of property into previously uncommodified areas of peoples’ lives.
Mark Busse, Busse, Mark
core +1 more source
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Graph-based transformer to predict the octanol–water partition coefficient
Lipophilicity is a fundamental physicochemical property that significantly influences various aspects of drug behavior, such as solubility, permeability, metabolism, distribution, protein binding, and excretion.
Vyacheslav Grigorev +4 more
doaj +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Given a regulatory pathway system consisting of a set of proteins, can we predict which pathway class it belongs to? Such a problem is closely related to the biological function of the pathway in cells and hence is quite fundamental and essential in ...
Tao Huang +3 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
Reversed degree-based graph invariants in machine learning-driven QSPR analysis of antiviral drugs
The prediction of physicochemical properties of antiviral drugs is an important challenge in pharmaceutical research due to the high cost and time associated with experimental methods.
Nokwanda Princess Shiba +7 more
doaj +1 more source
The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela +4 more
wiley +1 more source
Comparative QSPR study of food preservatives using topological indices and regression models
Food preservatives play a crucial role in extending the shelf life of food products. Understanding their physicochemical properties can help in designing more effective and safer preservatives.
K. B. Gayathri, S. Roy
doaj +1 more source

