MOF membranes for gas separations

Progress in Materials Science, Journal Year: 2025, Volume and Issue: unknown, P. 101432 - 101432

Published: Jan. 1, 2025

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Controlled Synthesis of Multicolor Carbon Dots Assisted by Machine Learning

Advanced Functional Materials, Journal Year: 2022, Volume and Issue: 33(2)

Published: Oct. 31, 2022

Abstract Carbon dots (CDs) have received extensive attention and applications in recent years due to their remarkable characteristics of tunable emission wavelength, high stability, a variety synthetic raw materials. Since the formation process photoluminescence properties CDs are affected by multiple factors, luminescence regulation has always been troublesome problem. Furthermore, it is still lack appropriate approaches reveal hidden rules between synthesis conditions CDs. Inspired machine learning (ML) molecular materials science, herein, data‐driven ML strategy proposed multi‐dimensionally investigate correlation reaction parameters Meanwhile, demonstrated that solvent different influences on fluorescence CDs, intelligently optimizing route achieved using algorithms. with excellent luminescent screened further applied high‐capacity colorful information encryption. This study provides an efficient ML‐assisted guide multicolor helping researchers quickly easily obtain according experimental requirements.

Language: Английский

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Where Nanosensors Meet Machine Learning: Prospects and Challenges in Detecting Disease X

ACS Nano, Journal Year: 2022, Volume and Issue: 16(9), P. 13279 - 13293

Published: Sept. 6, 2022

Disease X is a hypothetical unknown disease that has the potential to cause an epidemic or pandemic outbreak in future. Nanosensors are attractive portable devices can swiftly screen biomarkers on site, reducing reliance laboratory-based analyses. However, conventional data analytics limit progress of nanosensor research. In this Perspective, we highlight integral role machine learning (ML) algorithms advancing nanosensing strategies toward detection. We first summarize recent utilizing ML for smart design and fabrication custom platforms as well realizing rapid on-site prediction infection statuses. Subsequently, discuss promising prospects further harnessing other aspects development biomarker

Language: Английский

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Quid Pro Flow

Journal of the American Chemical Society, Journal Year: 2023, Volume and Issue: 145(8), P. 4355 - 4365

Published: Feb. 14, 2023

How do you get into flow? We trained in flow chemistry during postdoctoral research and are now applying it new areas: materials chemistry, crystallization, supramolecular synthesis. Typically, when researchers think of "flow", they considering predominantly liquid-based organic synthesis; application to other disciplines comes with its own challenges. In this Perspective, we highlight why use champion technologies our fields, summarize some the questions encounter discussing entry research, suggest steps make transition field, emphasizing that communication collaboration between is key.

Language: Английский

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Machine learning-guided design of organic phosphorus-containing flame retardants to improve the limiting oxygen index of epoxy resins

Chemical Engineering Journal, Journal Year: 2022, Volume and Issue: 455, P. 140547 - 140547

Published: Nov. 24, 2022

Language: Английский

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