Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
Coordination Chemistry Reviews, Journal Year: 2024, Volume and Issue: 520, P. 216124 - 216124
Published: Aug. 12, 2024
Language: Английский
Citations
21Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown
Published: March 30, 2025
Covalent organic frameworks (COFs) are porous crystalline materials obtained by linking ligands covalently. Their high surface area and adjustable pore sizes make them ideal for a range of applications, including CO2 capture, CH4 storage, gas separation, catalysis, etc. Traditional methods material research, which mainly rely on manual experimentation, not particularly efficient, while with advancements in computer science, high-throughput computational screening based molecular simulation have become crucial discovery, yet they face limitations terms resources time. Currently, machine learning (ML) has emerged as transformative tool many fields, capable analyzing large data sets, identifying underlying patterns, predicting performance efficiently accurately. This approach, termed "materials genomics", combines ML to predict design high-performance materials, significantly speeding up the discovery process compared traditional methods. review discusses functions screening, design, prediction COFs highlights their applications across various domains like thereby providing new research directions enhancing understanding COF applications.
Language: Английский
Citations
2Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 498, P. 155194 - 155194
Published: Aug. 26, 2024
Language: Английский
Citations
17Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 497, P. 154908 - 154908
Published: Aug. 16, 2024
Language: Английский
Citations
16Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 497, P. 154689 - 154689
Published: Aug. 14, 2024
Language: Английский
Citations
10Industrial Crops and Products, Journal Year: 2024, Volume and Issue: 222, P. 119720 - 119720
Published: Sept. 24, 2024
Language: Английский
Citations
8International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: unknown, P. 135986 - 135986
Published: Sept. 1, 2024
Language: Английский
Citations
7Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 131842 - 131842
Published: Jan. 1, 2025
Language: Английский
Citations
0ACS Omega, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 17, 2025
Since their inception in the early 1960s, use of nanoscale materials has progressed leaps and bounds, role diverse fields ranging from human health to energy is undeniable. In this report, we utilize CAS Content Collection, a vast repository scientific information extracted journals patent publications, identify emerging topics field. This involves understanding trends, such as growth certain over time, well establishing relationships among topics. We achieved by using host strategies including quantitative natural language processing (NLP) approach 270 subtopics across three major categories-materials, applications, properties-by surveying 3 million documents spanning two decades nanoscience landscape. wealth been condensed into several conceptual Trendscape maps other data visualizations, providing metrics related identified concepts, grouped hierarchical classes, connections between them have explored. Our extensive analysis taking advantage an NLP-based along with robust indexing provides valuable insights field that hope can help inform drive future research efforts. series interconnected papers, will present our findings project, focus on four applications materials-drug delivery, sensors, energy, catalysis-to provide more comprehensive detailed picture nanotechnology these fields.
Language: Английский
Citations
0Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: 509, P. 160902 - 160902
Published: Feb. 26, 2025
Language: Английский
Citations
0