A recent collaborative study, published in Nature, introduces an innovative approach to improving energy storage in antiferroelectric materials. The research team, including researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, Tsinghua University, Songshan Lake Materials Laboratory, and the University of Wollongong, has proposed antipolar frustration strategy to enhance the performance of dielectric capacitors, which are crucial for high-power devices requiring fast charge and discharge rates.

Recently, the research team led by Dr. HUANG Qing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed a new method using low-frequency Raman spectroscopy to detect very subtle changes in the structure of Porphyrin molecules - changes that are usually too small to be detected by traditional tools.

Recently, a research team led by Prof. QU Zhe from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, in collaboration with Prof. LIU Enke from the Institute of Physics of the Chinese Academy of Sciences, found a new way to control the magnetic reversal in a special material called Co₃Sn₂S₂, a Weyl semimetal.

Recently, the research group of Professor Yang Liangbao from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, enhances localized surface plasmon resonance (LSPR) by studying Cu₂O₁₋ₓ superlattices with oxygen vacancies, offering new insights into vacancy doping in semiconductors and LSPR induction in metal oxide nanoparticles.

Recently, the research team led by Researcher WANG Guozhong from the Institute of Solid State Physics, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a method to precisely control the size of nickel particles in catalysts, improving their performance in hydrogenation reactions. 

This article presents a method for preparing stable and reproducible fatty acid (FA) stock solutions, which are essential for studying lipid signaling, metabolism, and lipid droplets (LDs). The authors developed a technique using ultrasonication and ethanol to create FA micelles, which can be used in both in vivo and in vitro studies. The method eliminates the need for albumin, avoids FA degradation, and allows for precise control over FA concentrations. The authors also compare their method with existing techniques and demonstrate its effectiveness in various biological studies, including the investigation of LD dynamics and lipid metabolism.

A recent review provides a detailed comparison of gypsum and silica scaling in membrane desalination, shedding light on their unique formation mechanisms and behaviors. The research identifies the challenges each scaling type poses to desalination efficiency and highlights critical differences in how they interact with organic foulants. By understanding these distinct behaviors, the study offers valuable insights that can inform targeted strategies for improving desalination processes and their sustainability.

"AI Finally Cracks Human-Level Spatial Reasoning: New Model Beats GPS at Understanding 'Behind the Starbucks, Near the Broken Sign'"

A groundbreaking study led by Dr. Feng Wang reveals why current AI fails to grasp real-world spatial language—and unveils the DPEC model that closes the gap.

In episode four of Chat!DNA, an interview series by BGI Genomics, we feature Lin Cong, whose research on colorectal cancer, in collaboration with Uppsala University, is advancing early detection and personalized treatment. By integrating AI into precision medicine, she hopes to make early screening more convenient and efficient, thereby improving patients' survival outcomes.