Recent advances in shape memory polymers: multifunctional materials, multiscale structures, and applications

L Luo, F Zhang, L Wang, Y Liu… - Advanced Functional …, 2024 - Wiley Online Library
Shape memory polymers (SMPs) are one of the primary directions in the development of
modern high‐tech new materials, which are integrated with sensing, actuation, information …

Large language models for reticular chemistry

Z Zheng, N Rampal, TJ Inizan, C Borgs… - Nature Reviews …, 2025 - nature.com
Reticular chemistry is the science of connecting molecular building units into crystalline
extended structures such as metal–organic frameworks and covalent organic frameworks …

Modular, multi-robot integration of laboratories: an autonomous workflow for solid-state chemistry

AM Lunt, H Fakhruldeen, G Pizzuto, L Longley… - Chemical …, 2024 - pubs.rsc.org
Automation can transform productivity in research activities that use liquid handling, such as
organic synthesis, but it has made less impact in materials laboratories, which require …

A dynamic knowledge graph approach to distributed self-driving laboratories

J Bai, S Mosbach, CJ Taylor, D Karan, KF Lee… - Nature …, 2024 - nature.com
The ability to integrate resources and share knowledge across organisations empowers
scientists to expedite the scientific discovery process. This is especially crucial in addressing …

[HTML][HTML] Can ChatGPT be used to generate scientific hypotheses?

YJ Park, D Kaplan, Z Ren, CW Hsu, C Li, H Xu, S Li… - Journal of …, 2024 - Elsevier
We investigate whether large language models can perform the creative hypothesis
generation that human researchers regularly do. While the error rate is high, generative AI …

Identification and structural characterization of twisted atomically thin bilayer materials by deep learning

H Yang, R Hu, H Wu, X He, Y Zhou, Y Xue, K He… - Nano Letters, 2024 - ACS Publications
Two-dimensional materials are expected to play an important role in next-generation
electronics and optoelectronic devices. Recently, twisted bilayer graphene and transition …

[HTML][HTML] Active learning accelerates the discovery of high strength and high ductility lead-free solder alloys

B Cao, T Su, S Yu, T Li, T Zhang, J Zhang, Z Dong… - Materials & Design, 2024 - Elsevier
Develo** new materials through traditional trial-and-error is time-consuming and costly
due to the vast potential compositions to explore. Moreover, some desirable properties are …

Semiautomated experiments to accelerate the design of advanced battery materials: Combining speed, low cost, and adaptability

E McCalla - ACS engineering Au, 2023 - ACS Publications
A number of methodologies are currently being exploited in order to dramatically increase
the composition space explored in the design of new battery materials. This is proving …

Digital manufacturing of perovskite materials and solar cells

Z Wang, Z Chen, B Wang, C Wu, C Zhou, Y Peng… - Applied Energy, 2025 - Elsevier
Compared with crystalline silicon cells that have been developed for half a century, the
photovoltaic conversion efficiency of perovskite solar cells (PSCs) has exceeded 26% in just …

Recent Progress in Liquid Electrolytes for High‐Energy Lithium–Metal Batteries: From Molecular Engineering to Applications

N Li, X Han, X Cui, C Xu, C Mao… - Advanced Functional …, 2025 - Wiley Online Library
Lithium–metal batteries (LMBs) have garnered significant interests for their promising high
gravimetric energy density (Eg)∼ 750 Wh kg− 1. However, the practical application of the …