Publications by authors named "Dezheng Gao"

Recently, diamondoid compounds have attracted significant attention in thermoelectrics due to their unique transport properties, with ZT beyond 1.6 reported in several p-type systems. In contrast, n-type diamondoid compounds remain largely unexplored.

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Historically, the rocksalt crystal structure and its variants have long dominated the field of advanced thermoelectrics. Developing new structural thermoelectric materials is an interesting topic for the thermoelectric community. In this work, an n-type diamondoid compound, AgInSe, was identified with extremely low thermal conductivity and very high carrier mobility.

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The scarcity of tellurium (Te) poses significant challenges to the widespread application of BiTe-based thermoelectric systems. In this work, we investigated the potential of Te-free PbSe for thermoelectric applications by optimizing carrier mobility through crystal growth and a two-step strategy of light alloying and doping. First, Cd alloying was employed to reduce the lattice thermal conductivity () of n-type PbSe through the off-center effect while preserving carrier mobility.

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Article Synopsis
  • Ideal thermoelectric materials should have a high average ZT, which is affected by carrier mobility and density; traditional doping techniques make it hard to optimize performance across different temperatures.
  • This study shows that combining lattice plainification with dynamic doping can significantly enhance the average ZT of N-type PbSe by improving carrier mobility and allowing for better control over carrier concentration.
  • The modified PbSe, incorporating both Sn and a small amount of Cu, achieves a maximum ZT of about 1.7 at 800 K and demonstrates a promising 7.7% power generation efficiency, making it a strong candidate for commercial use.
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Article Synopsis
  • Thermoelectric materials, particularly BiTe, are important for refrigeration and power generation but face limitations due to the poor performance of n-type BiTe; thus, improving n-type BiTe is crucial.
  • This study introduces interstitial copper and a hot deformation process to enhance the thermoelectric properties of BiTeSe, resulting in a high-performance material with notable improvements in mechanical and thermoelectric characteristics.
  • The new n-type CuBiTeSe outperforms existing commercial devices, achieving a maximum ZT of 1.27 and displaying remarkable efficiencies in both thermoelectric cooling and power generation applications.
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The rapid growth in dataset sizes in modern deep learning has significantly increased data storage costs. Furthermore, the training and time costs for deep neural networks are generally proportional to the dataset size. Therefore, reducing the dataset size while maintaining model performance is an urgent research problem that needs to be addressed.

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Prodigiosin (PG), a member of a family of natural red pigments produced by a variety of bacteria, was first discovered in Serratia marcescens. PG has been reported to have an apoptosis-inducing effect in many cancers, such as lymphoma, colon cancer and nasopharyngeal carcinoma. For this study, we used three glioblastoma (GBM) cell lines (LN229, U251 and A172) to explore the effect of prodigiosin on GBM cells.

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2,5-Dimethyl-celecoxib (DMC) is a close structural analog of the selective COX-2 inhibitor celecoxib that lacks COX-2-inhibitory function. Thus, DMC is a promising drug for anti-tumor. In this study, we evaluated the efficacy and the molecular basis of DMC in the treatment of human glioblastoma multiforme (GBM).

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Synopsis of recent research by authors named "Dezheng Gao"

  • - Dezheng Gao's recent research primarily focuses on enhancing thermoelectric materials and their applications in energy generation and refrigeration, exemplified by studies on improving the performance of N-type PbSe and n-type Bi(Te, Se) through innovative doping and structural strategies.
  • - His work also addresses critical challenges in the field of artificial intelligence, particularly in dataset management, by proposing methods for dataset condensation while preserving model performance, which is essential given the rising costs associated with large datasets in deep learning.
  • - Additionally, Gao has explored the potential of natural compounds, such as Prodigiosin and 2,5-Dimethyl Celecoxib, in the treatment of glioblastoma, shedding light on their mechanisms of action and effectiveness against cancer cell proliferation through specific signaling pathways.