Recent advances in 2D material theory, synthesis, properties, and applications
Two-dimensional (2D) material research is rapidly evolving to broaden the spectrum of
emergent 2D systems. Here, we review recent advances in the theory, synthesis …
emergent 2D systems. Here, we review recent advances in the theory, synthesis …
Raman spectroscopy on brain disorders: transition from fundamental research to clinical applications
Brain disorders such as brain tumors and neurodegenerative diseases (NDs) are
accompanied by chemical alterations in the tissues. Early diagnosis of these diseases will …
accompanied by chemical alterations in the tissues. Early diagnosis of these diseases will …
Measuring complex refractive index through deep-learning-enabled optical reflectometry
Optical spectroscopy is indispensable for research and development in nanoscience and
nanotechnology, microelectronics, energy, and advanced manufacturing. Advanced optical …
nanotechnology, microelectronics, energy, and advanced manufacturing. Advanced optical …
[HTML][HTML] Emerging two-dimensional materials: Synthesis, physical properties, and application for catalysis in energy conversion and storage
Inorganic, organic, and hybrid two-dimensional (2D) materials are being developed for ever-
expanding numbers of applications, though energy and catalysis remain the main drivers of …
expanding numbers of applications, though energy and catalysis remain the main drivers of …
Recent advances on Raman spectroscopy of graphene: Towards biosensing applications
Graphene displays extraordinary electronic, optical, and mechanical properties, generating
substantial scientific interest and presenting vast potential across various applications …
substantial scientific interest and presenting vast potential across various applications …
Unveiling brain disorders using liquid biopsy and Raman spectroscopy
Brain disorders, including neurodegenerative diseases (NDs) and traumatic brain injury
(TBI), present significant challenges in early diagnosis and intervention. Conventional …
(TBI), present significant challenges in early diagnosis and intervention. Conventional …
Machine Learning Assisted Enhancement in a Two-Dimensional Material's Sensing Performance
Two-dimensional (2D) materials have seen a dramatic increase in use in recent years due to
their exceptional characteristics, which make them perfect for a wide range of sensing …
their exceptional characteristics, which make them perfect for a wide range of sensing …
Photo-Antibacterial Activity of Two-Dimensional (2D)-Based Hybrid Materials: Effective Treatment Strategy for Controlling Bacterial Infection
Bacterial contamination in water bodies is a severe scourge that affects human health and
causes mortality and morbidity. Researchers continue to develop next-generation materials …
causes mortality and morbidity. Researchers continue to develop next-generation materials …
[HTML][HTML] Artificial intelligence (AI) meets biomaterials and biomedicine
S Han, J Wu - Smart Materials in Medicine, 2024 - Elsevier
With the rapid progress of information technology and life sciences, artificial intelligence (AI)
technology has substantially changed the way in many areas of biomaterials and …
technology has substantially changed the way in many areas of biomaterials and …
Lateral heterostructures of WS2 and MoS2 monolayers for photo-synaptic transistor
J Park, JO Kim, SW Kang - Scientific Reports, 2024 - nature.com
Von Neumann architecture-based computing, while widely successful in personal
computers and embedded systems, faces inherent challenges including the von Neumann …
computers and embedded systems, faces inherent challenges including the von Neumann …