Recently, the research team led by Prof. LIANG Changhao from the Institute of Solid State Physics, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has demonstrated a method for the synthesis of carbon nanotubes (CNTs)-supported intermetallic RuM (M = Cu, Rh, and Pd) alloys dominated by sub-5 nm nanoparticles (NPs).

Recently, a research team led by Prof. HUANG Zhulin from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, successfully synthesized a flexible nanofiber felt with ultralow thermal conductivity and exceptional electromagnetic wave absorption properties. 

Li–CO₂ batteries are considered promising energy storage systems in extreme environments such as Mars; however, severe performance degradation will occur at a subzero temperature owning to the sluggish reaction kinetics. Herein, a photo-energized strategy adopting sustainable solar energy in wide working temperature range Li–CO₂ battery was achieved with a binder-free MoS₂/carbon nanotube (CNT) photo-electrode as cathode. The unique layered structure and excellent photoelectric properties of MoS₂ facilitate the abundant generation and rapid transfer of photo-excited carriers, which accelerate the CO₂ reduction and Li₂CO₃ decomposition upon illumination. The illuminated battery at room temperature exhibited high discharge voltage of 2.95 V and mitigated charge voltage of 3.27 V, attaining superior energy efficiency of 90.2% and excellent cycling stability of over 120 cycles. Even at an extremely low temperature of − 30 °C, the battery with same electrolyte can still deliver a small polarization of 0.45 V by the photoelectric and photothermal synergistic mechanism of MoS₂/CNT cathode. This work demonstrates the promising potential of the photo-energized wide working temperature range Li–CO₂ battery in addressing the obstacle of charge overpotential and energy efficiency.

According to a research published in Physical Review B, researchers from the Institute of Solid State Physics, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, in collaboration with Southwest Jiaotong University, has combined high-pressure electrical transport experiments, high-pressure Raman spectroscopy, and first-principles calculations to reveal the structural phase transition behavior of hafnium oxide (HfO₂) under high pressure and its evolution mechanism in electrical properties. 

Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, improved residual neural network to accurately classify and identify microplastics using low-quality Raman spectra, even under non-ideal experimental conditions.

This paper explores the potential of mitochondrial-associated programmed-cell-death (mtPCD) patterns as biomarkers for predicting the prognosis of non-small-cell lung cancer (NSCLC). NSCLC is the most common type of lung cancer, accounting for 85% of all cases, and despite advances in treatment, prognosis remains poor for many patients. The study investigates various mtPCD-related genes and their association with patient outcomes, aiming to identify a prognostic signature that can guide personalized treatment.

This paper explores the clinical outcomes of allogeneic hematopoietic stem cell transplantation (allo-HSCT) for patients with triple-mutated acute myeloid leukemia (AML), a condition marked by mutations in DNMT3A, NPM1, and FLT3-ITD genes. Despite being classified as intermediate-risk by the European LeukemiaNet (ELN) 2022 risk classification, triple-mutated AML generally has a poor prognosis.

This study explores the relationship between gallstones, cholecystectomy, and cancer risk through both observational and Mendelian randomization (MR) methods. The research aims to clarify the inconsistent findings from previous studies regarding the association of gallstones and cholecystectomy with various types of cancers, particularly in Chinese adults.

Autism is a neurodevelopmental disorder that affects social communication and development. A key characteristic in its clinical diagnosis is that autistic children rarely look at others’ faces, which is internationally recognized as a significant behavioral marker. Now, however, a new study aims to challenge this idea by using a combination of child-friendly testing environments and artificial intelligence to better understand the relationship between eye contact, cognitive development, and children’s attention skills.