Smart materials: rational design in biosystems via artificial intelligence

Sagdic, Kutay; Eş, Ismail; Sitti, Metin; İnci, Fatih

doi:10.1016/j.tibtech.2022.01.005

Cited by 41 publications

(11 citation statements)

References 121 publications

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“…7 The technology is making a positive contribution to more complex tasks such as drug discovery through the production of novel molecules, and in materials science to design the 'smar t metals' of the future. 8 However, importantly, LLMs can generate responses indistinguishable from human interaction that appear authoritative and plausible but are entirely fabricated. There is no way to spot this reliably as the LLM is unable to 'fact check' itself, and generates its responses based on patterns in the data, not on any factual, deliberative judgement.…”

Section: Emmanuel Okenyi and Lauren Walkermentioning

confidence: 99%

“…The technology is making a positive contribution to more complex tasks such as drug discovery through the production of novel molecules, and in materials science to design the ‘smart metals’ of the future 8 . However, importantly, LLMs can generate responses indistinguishable from human interaction that appear authoritative and plausible but are entirely fabricated.…”

Section: What Is Ai?mentioning

confidence: 99%

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Advantages and challenges of AI in enhancing healthcare equity

Okenyi,

Walker

2024

Prescriber

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Section: Emmanuel Okenyi and Lauren Walkermentioning

confidence: 99%

Section: What Is Ai?mentioning

confidence: 99%

Advantages and challenges of AI in enhancing healthcare equity

Okenyi,

Walker

2024

Prescriber

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“…When the Different screening stages, from left to right, involve different theories, calculation methods, experimental inputs and tests. 72 b. The dependence tree of chemical calculation used in this study.…”

Section: Polymer Scaffolds For Biomedical Applicationsmentioning

confidence: 99%

“…The cube represents the size of the chemical space considered at any given stage of the process. Different screening stages, from left to right, involve different theories, calculation methods, experimental inputs and tests 72. b.…”

mentioning

confidence: 99%

Perspectives on development of biomedical polymer materials in artificial intelligence age

Xie

2023

J Biomater Appl

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Polymer materials are widely used in biomedicine, chemistry and material science, whose traditional preparations are mainly based on experience, intuition and conceptual insight, having been applied to the development of many new materials, but facing great challenges due to the vast design space for biomedical polymers. So far, the best way to solve these problems is to accelerate material design through artificial intelligence, especially machine learning. Herein, this paper will introduce several successful cases, and analyze the latest progress of machine learning in the field of biomedical polymers, then discuss the opportunities of this novel method. In particular, this paper summarizes the material database, open-source determination tools, molecular generation methods and machine learning models that have been used for biopolymer synthesis and property prediction. Overall, machine learning could be more effectively deployed on the material design of biomedical polymers, and it is expected to become an extensive driving force to meet the huge demand for customized designs.

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“…3 Noteworthy among the available materials for this purpose are liquid crystals (LCs), 4 perovskites, 5 metal-organic frameworks (MOFs), 6 catalyst smart materials, 7 and smart polymers. 8 The versatility of these materials has led to their application in a wide array of domains, including soft robotics, 9 biotechnology, 10 and various industrial and medical contexts, [7][8][9][11][12][13] thereby elevating their scientific significance. Simultaneously, the progressive advancements in modern industries necessitate the acquisition of diverse capabilities, such as the ability to execute mechanical tasks remotely, precisely, and rapidly by effectively managing input energy stimuli.…”

Section: Introductionmentioning

confidence: 99%

Light‐fueled self‐oscillation of liquid crystal polymer network: Effect of photostabilizers

Alipanah,

Zakerhamidi,

Ranjkesh

2023

J of Applied Polymer Sci

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The quest for harnessing light‐induced oscillatory motion, inspired by natural oscillations, has become a focus of scientific attention. Researchers are exploring the use of liquid crystal network (LCN) polymers and their integration with compatible materials as soft actuators. Of particular interest is the utilization of photostabilizers, which play a pivotal role in preserving the polymer against photodegradation. For this, three distinct derivatives of Tinuvin were chosen to explore their influence on the light‐fueled oscillatory motion of LCN polymers when exposed to polarized light to examine the impact of molecular orientation on the resultant motion. The research includes a comprehensive analysis of morphology, FT‐IR spectra, and elastic modulus assessments. The findings indicate that the Tinuvin derivatives along with light polarization have an impact on the resulting oscillatory characteristics. The findings include oscillation frequencies spanning from 8.95 to 14.96 Hz and oscillation amplitudes ranging from 0.47 to 1.73 mm. The dipole moment of Tinuvin types influences the oscillation frequency by altering the elastic modulus of the LCN, while its impact on surface roughness and structural configuration affects the resulting oscillation amplitude. Notably, the highest oscillation frequency is observed when all oriented molecules within the LCN respond to 45° polarized light. Investigating the impact of utilized photostabilizers on the polymer structural configuration was although possible through the examination of related FT‐IR specra.

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Smart materials: rational design in biosystems via artificial intelligence

Cited by 41 publications

References 121 publications

Advantages and challenges of AI in enhancing healthcare equity

Advantages and challenges of AI in enhancing healthcare equity

Perspectives on development of biomedical polymer materials in artificial intelligence age

Light‐fueled self‐oscillation of liquid crystal polymer network: Effect of photostabilizers

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