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Magneto-optical Raman effect provides new insights into 2D magnets

2020-09-04

The Department of Physics at College of Science, Southern University of Science and Technology (SUSTech) has demonstrated that helicity-resolved Raman spectroscopy is a useful tool to study the ferromagnetism in 2D magnets. It is the first time to directly probe ferromagnetism by using a Raman spectrum in a 2D magnet.

Mathematics professor claims podium position in provincial teaching competition

2020-08-26

The Department of Mathematics Assistant Professor Yong HU recently won 2nd prize (Science Group) in the 5th Guangdong Provincial Young Teacher Competition.

Molecular engineering of electrocatalysts could lead to a cleaner future

2020-08-21

Research led by scholars at Southern University of Science and Technology (SUSTech) may have provided a new pathway for the production of carbon-based chemical and fuels from renewable energy.

Novel mechanism found, showing how plants grow using circadian clock

2020-08-19

A new study by scholars at Dept. of Biology, Southern University of Science and Technology (SUSTech) has found how plants use their circadian clock to regulate their growth cycles, based on their exposure to light.

New insights found into genomic architecture by SUSTech scholars

2020-08-18

Mammalian genomes are diploid, comprising of two haploid genomes from each paternal or maternal origin. SUSTech scholars have taken a new approach to the study of the diploid genomic architecture by applying multi-omic data to characterize the 3D diploid genome structures.

Comprehensive online database deployed for exploring massive public plant RNA-seq data

2020-08-15

Applications of Next Generating Sequencing (NGS) technology in transcriptome profiling have greatly improved our understanding of transcriptional regulation at a genome-wide scale in the last decade. The research community has produced tens of thousands of RNA-sequencing (RNA-seq) libraries. However, accessing such a huge amount of RNA-seq data poses a big challenge for groups that lack dedicated bioinformatic personnel or expensive computational resources.