activity
20222024
most citedHighly Efficient and Selective Extraction of Gold by Reduced Graphene Oxide

193 citations · 197 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci20241 cited

Surprising pressure-induced magnetic transformations from Helimagnetic order to Antiferromagnetic state in NiI2

Qiye Liu, Wenjie Su, Yue Gu +9

Interlayer magnetic interactions play a pivotal role in determining the magnetic arrangement within van der Waals (vdW) magnets, and the remarkable tunability of these interactions…

cs.LG20231 cited

DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction

Bowen Wang, Chen Liang, Jiaze Wang +7

Attaining the equilibrium state of a catalyst-adsorbate system is key to fundamentally assessing its effective properties, such as adsorption energy. Machine learning methods with…

q-bio.NC20232 cited

AI of Brain and Cognitive Sciences: From the Perspective of First Principles

Luyao Chen, Zhiqiang Chen, Longsheng Jiang +13

Nowadays, we have witnessed the great success of AI in various applications, including image classification, game playing, protein structure analysis, language translation, and con…

cond-mat.mtrl-sci2022193 cited

Highly Efficient and Selective Extraction of Gold by Reduced Graphene Oxide

Fei Li, Jiuyi Zhu, Pengzhan Sun +8

Materials that are capable of extracting gold from complex sources, especially electronic waste (e-waste) with high efficiency are needed for gold resource sustainability and effec…

cond-mat.mtrl-sci2022

A Ta-TaS2 monolithic catalyst with robust and metallic interface for superior hydrogen evolution

Qiangmin Yu, Zhiyuan Zhang, Siyao Qiu +11

The use of highly active and robust catalysts is crucial for producing green hydrogen by water electrolysis as we strive to achieve global carbon neutrality. Noble metals like plat…