Machine learning models have been progressively used for predicting materials’ properties. These models can be built using pre-existing data and are useful for rapidly screening the physicochemical space of a...

Israrul H Hashmi

Himanshu .

Rahul Karmakar

Tarak K. Patra

Molecular Systems Design & Engineering

Molecular Systems Design & Engineering provides a hub for cutting-edge research into how understanding of molecular properties, behaviour and interactions can be used to design and assemble better materials, systems, and processes to achieve specific functions. These may have applications of technological significance and help address global challenges.

Molecular Systems Design and Engineering is dedicated to cutting-edge research that explores how an understanding of molecular properties, behavior, and interactions can be used to design and assemble superior materials, systems, and processes to achieve specific functions. These studies may have significant technological applications and contribute to addressing global challenges.

《Molecular Systems Design and Engineering》期刊致力于前沿研究，探讨如何利用对分子特性、行为和相互作用的理解，设计和组装更优质的材料、系统和流程，以实现特定功能。这些研究可能具有重要的技术应用，并有助于应对全球性挑战。

Category	Quartile
工程技术	3
工程技术, 物理化学	4
工程技术, 材料科学综合	4
工程技术, 纳米科技	4

Extrapolative Machine Learning Models for Copolymers

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Journal Info

Category	Quartile
NANOSCIENCE & NANOTECHNOLOGY	3