Silica Aerogel Synthesis/Process–Property Predictions by Machine Learning

Walker, Rebecca C.; Hyer, Andres P.; Guo, Hongbo; Ferri, James K.

doi:10.1021/acs.chemmater.2c03459

Cited by 7 publications

(4 citation statements)

References 152 publications

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“…Aerogel is a nanoscale porous solid formed by replacing the liquid phase of a gel with gas through a specific drying technique [ 16 – 22 ]. It possesses several remarkable properties such as low density, high porosity, low thermal conductivity, and controllable nanoporous structure, making it a promising material for efficient heat transfer regulation in window applications [ 9 , 23 – 29 ].…”

Section: Introductionmentioning

confidence: 99%

Highly Porous Yet Transparent Mechanically Flexible Aerogels Realizing Solar-Thermal Regulatory Cooling

Lian,

Ding,

Liu

et al. 2024

Nano-Micro Lett.

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The demand for highly porous yet transparent aerogels with mechanical flexibility and solar-thermal dual-regulation for energy-saving windows is significant but challenging. Herein, a delaminated aerogel film (DAF) is fabricated through filtration-induced delaminated gelation and ambient drying. The delaminated gelation process involves the assembly of fluorinated cellulose nanofiber (FCNF) at the solid–liquid interface between the filter and the filtrate during filtration, resulting in the formation of lamellar FCNF hydrogels with strong intra-plane and weak interlayer hydrogen bonding. By exchanging the solvents from water to hexane, the hydrogen bonding in the FCNF hydrogel is further enhanced, enabling the formation of the DAF with intra-layer mesopores upon ambient drying. The resulting aerogel film is lightweight and ultra-flexible, which possesses desirable properties of high visible-light transmittance (91.0%), low thermal conductivity (33 mW m−1 K−1), and high atmospheric-window emissivity (90.1%). Furthermore, the DAF exhibits reduced surface energy and exceptional hydrophobicity due to the presence of fluorine-containing groups, enhancing its durability and UV resistance. Consequently, the DAF has demonstrated its potential as solar-thermal regulatory cooling window materials capable of simultaneously providing indoor lighting, thermal insulation, and daytime radiative cooling under direct sunlight. Significantly, the enclosed space protected by the DAF exhibits a temperature reduction of 2.6 °C compared to that shielded by conventional architectural glass.

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Section: Introductionmentioning

confidence: 99%

Highly Porous Yet Transparent Mechanically Flexible Aerogels Realizing Solar-Thermal Regulatory Cooling

Lian,

Ding,

Liu

et al. 2024

Nano-Micro Lett.

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“…In conclusion, an unconventional design platform that utilized automated robots, machine intelligence, wet-lab experiments and simulation tools was developed to discover a library of all-natural nanocomposites as biodegradable plastic substitutes with programmable optical, fire-resistant and mechanical properties. Furthermore, compared to the state-of-the-art works in Supplementary Table 14 46 – 48 , this ML/robotics-integrated workflow stimulates the development of various functional materials with multi-property optimization, which can be applied to a wide range of nanoscience fields, including tactile sensors 49 , 50 , stretchable conductors 51 , 52 , electrochemical electrolyte optimization 53 , 54 and thermal insulative aerogels 55 , 56 .…”

Section: Discussionmentioning

confidence: 99%

Machine intelligence-accelerated discovery of all-natural plastic substitutes

Chen,

Pang,

et al. 2024

Nat. Nanotechnol.

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One possible solution against the accumulation of petrochemical plastics in natural environments is to develop biodegradable plastic substitutes using natural components. However, discovering all-natural alternatives that meet specific properties, such as optical transparency, fire retardancy and mechanical resilience, which have made petrochemical plastics successful, remains challenging. Current approaches still rely on iterative optimization experiments. Here we show an integrated workflow that combines robotics and machine learning to accelerate the discovery of all-natural plastic substitutes with programmable optical, thermal and mechanical properties. First, an automated pipetting robot is commanded to prepare 286 nanocomposite films with various properties to train a support-vector machine classifier. Next, through 14 active learning loops with data augmentation, 135 all-natural nanocomposites are fabricated stagewise, establishing an artificial neural network prediction model. We demonstrate that the prediction model can conduct a two-way design task: (1) predicting the physicochemical properties of an all-natural nanocomposite from its composition and (2) automating the inverse design of biodegradable plastic substitutes that fulfils various user-specific requirements. By harnessing the model’s prediction capabilities, we prepare several all-natural substitutes, that could replace non-biodegradable counterparts as exhibiting analogous properties. Our methodology integrates robot-assisted experiments, machine intelligence and simulation tools to accelerate the discovery and design of eco-friendly plastic substitutes starting from building blocks taken from the generally-recognized-as-safe database.

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“…More studies like this are required to better elucidate the nature of aging. Recently, Walker R et al (2023) developed an information architecture, a silica aerogel graph database that included 10 3 aerogels synthesized using different conditions, and a supervised machine learning neural network regression model to examine the synthesis process-aerogel property relationships. Machine learning models were used to further understand the influence of synthetic and processing conditions on aerogel surface area.…”

Section: Agingmentioning

confidence: 99%

The effect of synthesis conditions and process parameters on aerogel properties

Payanda Konuk,

Alsuhile,

Yousefzadeh

et al. 2023

Front. Chem.

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Aerogels are remarkable nanoporous materials with unique properties such as low density, high porosity, high specific surface area, and interconnected pore networks. In addition, their ability to be synthesized from various precursors such as inorganics, organics, or hybrid, and the tunability of their properties make them very attractive for many applications such as adsorption, thermal insulation, catalysts, tissue engineering, and drug delivery. The physical and chemical properties and pore structure of aerogels are crucial in determining their application areas. Moreover, it is possible to tailor the aerogel properties to meet the specific requirements of each application. This review presents a comprehensive review of synthesis conditions and process parameters in tailoring aerogel properties. The effective parameters from the dissolution of the precursor step to the supercritical drying step, including the carbonization process for carbon aerogels, are investigated from the studies reported in the literature.

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Silica Aerogel Synthesis/Process–Property Predictions by Machine Learning

Cited by 7 publications

References 152 publications

Highly Porous Yet Transparent Mechanically Flexible Aerogels Realizing Solar-Thermal Regulatory Cooling

Highly Porous Yet Transparent Mechanically Flexible Aerogels Realizing Solar-Thermal Regulatory Cooling

Machine intelligence-accelerated discovery of all-natural plastic substitutes

The effect of synthesis conditions and process parameters on aerogel properties

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