Zonghang Liu

TL;DR: This study proposed one novel and efficient quantitative structure-property relationship (QSPR) model for molecular properties predictions within the framework of deep learning neural network (DNN), using molecular descriptors calculated by Mordred.

TL;DR: In this paper , the authors focused on a novel material, body centered cubic carbon (C14), which is composed of sp3 hybridized carbon atoms and found that C14 performs well in heat transport; and via systematical comparison with another allotrope, diamond, its transport mechanism was further summarized.

TL;DR: In 2019, Chen et al. as mentioned in this paper reported the synthesis of a series of promising metal-organic frameworks (MOFs) based on Al/Fe trinuclear clusters, known as NU-1501-M (M = Al or Fe).

TL;DR: In this article , an open-label, single-arm, multicenter, phase II clinical trial that enrolled patients with advanced solid tumors who had progressed after standard treatments was conducted, where Radiotherapy of 24 Gy/3 fractions/3-10 days was given to the targeted lesions.