Tin telluride(SnTe)overwhelmingly continues to be studied owing to its promising thermoelectric properties,tunable electronic structure,and its potential as an alternate to toxic lead telluride(PbTe)based materials.In...Tin telluride(SnTe)overwhelmingly continues to be studied owing to its promising thermoelectric properties,tunable electronic structure,and its potential as an alternate to toxic lead telluride(PbTe)based materials.In this research,we engineer the electronic properties of SnTe by co-doping Mn and Bi below their individual solubility limit.The First principles density functio nal theory studies reveal that both Bi and Mn introduce resonance states,thereby increasing the density of states near the Fermi level leading to enhanced Seebeck coefficient.This unique combination of using two resonant dopants to introduce flatter bands is effective in achieving higher performance at lower tempe ratures manifesting into a large Seebeck value of~91μV/K at room temperature in the present case.Both elements optimally co-doped results in a very high power factor value of~24.3μW/cmK^(2) at 773 K when compared to other high performance SnTe based materials.A zT of~0.93 at 773 K is achieved by tuning the proportion of the co-dopants Mn and Bi in SnTe.The hardness value of pristine SnTe was also seen to increase after doping.As a result,synergistic optimized doping proves to be a suitable means for obtaining thermoelectric materials of superior characteristics without the need for heavy doping.展开更多
Tau oligomers are recognized for their critical role in causing neuronal toxicity and synaptic dysfunction in a diverse array of neurodegenerative diseases collectively referred to as tauopathies.However,the discovery...Tau oligomers are recognized for their critical role in causing neuronal toxicity and synaptic dysfunction in a diverse array of neurodegenerative diseases collectively referred to as tauopathies.However,the discovery of drugs that specifically target tau oligomers has been impeded by the absence of appropriate screening methods.Here,we suggest a drug screening platform based on tau amyloid corona-shelled nanoparticles(TACONs)to assess the efficacy of tau oligomer-degrading agents through aggregation-induced colorimetric responses of TACONs.TACONs were engineered via the encapsulation of gold nanoparticles(AuNPs)with homogeneous tau oligomers by leveraging heparin as a co-factor.Our TACON-based strategy harnesses two primary functions of AuNPs:(i)catalytic activators for the selective isolation of tau oligomers and(ii)optical reporters for quantifying colorimetric responses induced by tau oligomer-degrading agents.To validate this approach,we employed proteases that can degrade tau oligomers(protease XIV and plasmin)along with various small molecules known to aid in the treatment of tauopathies.Furthermore,we significantly enhanced screening efficiency by integrating a time-series deep learning architecture,enabling rapid identification of effective agents within 1 h.These results highlight the great potential of a deep learning-assisted TACON-based drug screening platform as a powerful strategy for streamlining drug discovery in tauopathies.展开更多
基金supported by grants from the National Research Foundation(NRF)of Korea(No.2018R1A41A1022260),funded by the Korean government(MSIT)the grant in the form of DST INSPIRE Faculty award from Department of Science and Technology,Government of India。
文摘Tin telluride(SnTe)overwhelmingly continues to be studied owing to its promising thermoelectric properties,tunable electronic structure,and its potential as an alternate to toxic lead telluride(PbTe)based materials.In this research,we engineer the electronic properties of SnTe by co-doping Mn and Bi below their individual solubility limit.The First principles density functio nal theory studies reveal that both Bi and Mn introduce resonance states,thereby increasing the density of states near the Fermi level leading to enhanced Seebeck coefficient.This unique combination of using two resonant dopants to introduce flatter bands is effective in achieving higher performance at lower tempe ratures manifesting into a large Seebeck value of~91μV/K at room temperature in the present case.Both elements optimally co-doped results in a very high power factor value of~24.3μW/cmK^(2) at 773 K when compared to other high performance SnTe based materials.A zT of~0.93 at 773 K is achieved by tuning the proportion of the co-dopants Mn and Bi in SnTe.The hardness value of pristine SnTe was also seen to increase after doping.As a result,synergistic optimized doping proves to be a suitable means for obtaining thermoelectric materials of superior characteristics without the need for heavy doping.
基金supported by National Research Foundation of Korea(NRF)grants funded by the Korean Government(MSIP)(Grant Numbers:RS-2025-00553786,RS-2024-00400563,RS-2024-00409958,RS-2025-02263504,RS-2025-02263404,and RS-2025-00519761)the BK21 FOUR Institute of Precision Public Health,the Science and Technology Commercialization Agency(Grant Number:RS-2024-00423580)+1 种基金Soseon Foundationsupported by Korea Health Industry Development Institute(KHIDI),funded by the Ministry of Health and Welfare(Grant Numbers:RS-2023-00274152 and RS-2023-00265159).
文摘Tau oligomers are recognized for their critical role in causing neuronal toxicity and synaptic dysfunction in a diverse array of neurodegenerative diseases collectively referred to as tauopathies.However,the discovery of drugs that specifically target tau oligomers has been impeded by the absence of appropriate screening methods.Here,we suggest a drug screening platform based on tau amyloid corona-shelled nanoparticles(TACONs)to assess the efficacy of tau oligomer-degrading agents through aggregation-induced colorimetric responses of TACONs.TACONs were engineered via the encapsulation of gold nanoparticles(AuNPs)with homogeneous tau oligomers by leveraging heparin as a co-factor.Our TACON-based strategy harnesses two primary functions of AuNPs:(i)catalytic activators for the selective isolation of tau oligomers and(ii)optical reporters for quantifying colorimetric responses induced by tau oligomer-degrading agents.To validate this approach,we employed proteases that can degrade tau oligomers(protease XIV and plasmin)along with various small molecules known to aid in the treatment of tauopathies.Furthermore,we significantly enhanced screening efficiency by integrating a time-series deep learning architecture,enabling rapid identification of effective agents within 1 h.These results highlight the great potential of a deep learning-assisted TACON-based drug screening platform as a powerful strategy for streamlining drug discovery in tauopathies.
