scispace - formally typeset
Search or ask a question

How does the hot electrons and holes cooling rate in quantum dots compare to that in the bulk counterpart? 


Best insight from top research papers

Hot electrons and holes in quantum dots exhibit distinct cooling rates compared to their bulk counterparts. Quantum dots offer prolonged hot electron lifetimes due to size-tunable electronic structures, resulting in slower cooling times. In contrast, bulk semiconductors typically undergo rapid electron-phonon scattering for hot electron relaxation. Additionally, the cooling dynamics of holes in quantum dots have been observed, contrary to previous assumptions, with a previously unresolved bleaching signal indicating hole cooling on fast timescales. These findings highlight the unique cooling properties of quantum dots, showcasing slower cooling rates for both hot electrons and holes compared to bulk materials, which could have significant implications for the efficiency and performance of optoelectronic devices.

Answers from top 5 papers

More filters
Papers (5)Insight
Not addressed in the paper.
Hot electrons and holes in quantum dots exhibit faster cooling rates compared to bulk counterparts, as evidenced by ultrafast hole relaxation dynamics observed in CdSe quantum dots.
Hot electron cooling rate in doped quantum dots is significantly slower (~sub-meV/ps) compared to bulk semiconductors (~1 eV/ps) due to spin blockade and phonon bottleneck effects.
Hot electrons and holes cool slower in CsPbBr3 perovskite quantum dots/g-CN nanosheet heterostructures compared to bulk counterparts, attributed to enhanced charge transfer dynamics and passivation of trap states.
The cooling rate of hot carriers in graphene quantum dots is significantly slower compared to bulk materials, allowing for efficient extraction of high-energy species, with subpicosecond hot hole transfer demonstrated.

Related Questions

What is the difference between shot noise and quantum noise?4 answersShot noise and quantum noise are distinct phenomena in quantum systems. Shot noise, as discussed in Context_1, arises from the fundamental quantum fluctuation of photon numbers in a coherent control field, setting a precision limit in measurement and information processing. It can be suppressed by coupling a system to a quantum vacuum field, leading to a shot-noise-suppressing quantum nonlinearity. On the other hand, quantum noise, as seen in Context_2, is related to the full counting statistics of photon emission in dissipative quantum systems. It can induce phase slips and affect synchronization in Josephson photonics devices. While shot noise is associated with photon number fluctuations in control fields, quantum noise in dissipative systems involves statistical aspects of photon emission and synchronization dynamics, showcasing different manifestations of quantum fluctuations in distinct quantum setups.
What is the new research in optical properties of quantum dot?5 answersRecent research has focused on the optical properties of quantum dots. One study investigated the exciton states in a conical GaAs quantum dot and found that the absorption peak has a blue shift with a decrease in dot size. Another study characterized the optical activity and broad absorption spectrum of carbon quantum dots, suggesting their potential for use in polarized infrared filters and sensors. Graphene quantum dots were also studied, revealing their unique optical properties and carrier behaviors. Additionally, a comprehensive study of a tunnelling injection quantum dot laser examined its temperature-dependent electronic and optoelectronic properties, providing insights into the laser operation. Finally, a new sizing function was proposed to accurately describe size quantization in colloidal quantum dots, enabling researchers to predict size quantization in unexplored materials.
Optical properties of quantum dots?5 answersQuantum dots are nanomaterials with unique optical properties. They have been extensively studied in various contexts. Theoretical investigations have focused on the emission, absorption, and inelastic light scattering of quantum dots charged with electrons. Hund's rules and their manifestation in the emission spectrum have been discussed, along with band-gap renormalization, shake-up, and ground state emission. Quantum dots have also been incorporated into photonic dots, such as spherical microcavities, resulting in interesting optical effects like increased radiative recombination rate and room temperature lasing. In recent years, advancements have been made to enhance the biocompatibility and optical properties of heavy metal-based quantum dots, making them widely used in nano-biotechnology applications like bio-imaging and biosensing. Additionally, the optical properties of quantum dots have been studied in the context of semiconductors, with calculations and experiments conducted to analyze their energy gaps, refractive index, and optical dielectric constant. Single InGaN quantum dots have also been investigated, revealing high temperature stability, carrier localization, and the influence of piezoelectric fields and spectral diffusion effects.
How can the cooling performance of thermoelectric materials be calculated?5 answersThe cooling performance of thermoelectric materials can be calculated by analyzing various thermoelectric properties and optimizing their relationship. The Seebeck coefficient, electrical conductivity, and thermal conductivity are the key properties that affect cooling performance. Sensitivity analysis can be used to determine the impact of these properties on the cooling coefficient of performance (COP). It has been found that the cooling COP is more sensitive to the Seebeck coefficient, and the maximum value is determined by the figure of merit (ZT) value. Increasing the ZT value can significantly enhance the cooling performance of thermoelectric air cooling systems, making them comparable to conventional heat pump systems. Therefore, optimizing the thermoelectric properties, particularly the Seebeck coefficient and ZT value, is crucial for improving the cooling performance of thermoelectric materials.
How does the cooling rate affect the nanolaminate of Al-Mg(metallic glass)/Al(nanocrystal)?5 answersThe cooling rate has a significant effect on the nanolaminate structure of Al-Mg/Al. Increasing the cooling rate results in a refined microstructure, reduced porosity content, and decreased fraction of certain compounds. Additionally, the cooling rate affects the elastic and structural behavior of the metallic glass, with lower cooling rates leading to an increase in certain clusters and an increase in glass transition temperature. In the case of Al-Cu-Li-Mg-Zn alloys, higher cooling rates lead to a decrease in secondary dendrite arm spacing and a decrease in the average diameter/thickness of certain phases, resulting in improved compressive properties. The cooling rate also affects the strength and elongation of Al-Si-Mg alloys during T5 treatment, with higher cooling rates leading to increased strength and decreased elongation due to the formation of coarse and agglomerated precipitates. Finally, in Zn-Al-Mg coatings, the cracking resistance is influenced by the cooling rate, with higher cooling rates resulting in higher cracking resistance due to the nucleation quantity of certain phases.
Why the thermal velocity of electrons and holes is set to 107 cm/s for solar cell simulation?5 answersThe thermal velocity of electrons and holes in solar cell simulations is set to 107 cm/s. This value is used because it represents the average velocity of charge carriers at room temperature in a semiconductor material. By considering this thermal velocity, simulations can accurately model the movement and behavior of electrons and holes within the solar cell. The thermal velocity is an important parameter in determining the efficiency and performance of the solar cell device.

See what other people are reading

What are the best surgical techniques for pterygium excision?
4 answers
The best surgical techniques for pterygium excision include conjunctival-limbal auto-grafting without sutures or glue, dual flap technique, conjunctival autograft, and the use of human amniotic membrane-derived dry matrix. Studies have shown that these techniques result in low recurrence rates and fewer complications. Conjunctival autograft (CAU) has been found to be more effective than amniotic membrane grafting (AMG) for recurrent pterygium excision, with CAU showing lower recurrence rates compared to AMG, both with and without mitomycin-C (MMC) adjuvant. Overall, these surgical methods offer safe, effective, and economical options for managing both primary and recurrent pterygium, with varying recurrence rates and postoperative outcomes based on the specific technique used.
How is smoking a factor associated with stroke?
5 answers
Smoking is a significant factor associated with stroke, especially in young individuals. Research indicates that smoking is positively linked to intracranial artery dissection (ICAD) in young patients, even after propensity score matching. Furthermore, smoking is recognized as a modifiable risk factor for stroke, with the risk being proportional to the amount of tobacco consumed. Studies have shown that smoking increases the risk of cardiovascular diseases, ultimately leading to stroke, with specific tendencies observed in stroke patients who smoke, such as the type of stroke and comorbidities. Additionally, smoking, especially at higher intensities, significantly raises the risk of different stroke subtypes, including intracerebral hemorrhages, cerebral infarctions, and subarachnoid hemorrhages, in both men and women. Moreover, the use of combustible cigarettes and electronic cigarettes has been associated with an increased risk of stroke, particularly when used in combination.
What primers can be used to detect antimicrobial resistance of enterobacteriaceae through PCR?
5 answers
Primers for detecting antimicrobial resistance in Enterobacteriaceae through PCR include those targeting various β-lactamase genes like class A, C, and D β-lactamases, as well as genes such as blaNDM-1, mcr-1, and tet(X4). Additionally, primers for detecting specific resistance genes like ctx-m-15, aadA1, and qnrS1 have been designed for Enterobacteriaceae pathogens. Furthermore, primers for carbapenemase genes such as blaKPC, blaIMP, blaNDM, blaVIM, blaOXA-48-like, and blaGES have been developed for efficient screening of carbapenemase genes in Enterobacteriaceae, showing 100% sensitivity and specificity. These primers enable rapid and accurate detection of antimicrobial resistance genes in Enterobacteriaceae, aiding in the identification and management of multidrug-resistant pathogens.
How does the presence of silver (Argentum) affect the growth and activity of microorganisms?
5 answers
The presence of silver, particularly in the form of silver nanoparticles or colloidal silver solutions, has been shown to significantly impact the growth and activity of various microorganisms. Silver nanoparticles synthesized by microorganisms like Fusarium oxysporum exhibit antimicrobial properties, affecting enzymatic activity and inhibiting the growth of soil-borne fungi and bacteria. Studies have demonstrated the efficacy of colloidal silver solutions in killing ocular microorganisms, including methicillin-resistant Staphylococcus aureus, Pseudomonas aeruginosa, and Candida albicans, with a notable reduction in microbial load and biofilm destruction. Furthermore, AGXX®, a silver-containing antimicrobial, generates reactive oxygen species that damage microbial cells, enhancing the activity of conventional antibiotics like aminoglycosides against pathogens like Pseudomonas aeruginosa by increasing membrane permeability and antibiotic influx.
What aspects of innovation have been worked on in the last-mile space in recent years?
4 answers
Recent innovations in last-mile delivery solutions have focused on various aspects to address the challenges posed by traditional methods. These innovations include the use of drones, automated guided vehicles (AGVs), robots, smart parcel stations, and crowdsourcing as alternatives to conventional truck-based home delivery. Additionally, there is a shift towards more sustainable practices, such as new crowdsourcing-based models, non-road and autonomous vehicles, and optimization systems utilizing data analytics and cloud technology. Factors influencing customer adoption of last-mile logistics innovations have also been explored, emphasizing the importance of understanding customer preferences and behaviors in shaping delivery methods. Furthermore, the concept of "Locker Alliance" has been introduced to enhance the efficiency of last-mile parcel delivery operations, focusing on network density and coverage to promote locker pickup adoption in urban areas.
Which nematodes are capable of regulating bacterial populations in soil?
5 answers
Nematodes such as Acrobeloides buetschlii and Meloidogyne species, including Meloidogyne javanica, have been identified as capable of regulating bacterial populations in soil. Acrobeloides buetschlii interacts with various bacterial diets, affecting bacterial biomass in soil. On the other hand, Meloidogyne species, particularly Meloidogyne javanica, interact with the Pasteuria penetrans bacterium, influencing the spatial distributions of nematode populations and bacterial populations in soil. These interactions play a crucial role in shaping soil microbial communities and dynamics, highlighting the significant impact nematodes can have on bacterial populations in soil ecosystems.
How to develop a model for algal growth and lipid production?
5 answers
To develop a comprehensive model for algal growth and lipid production, various factors need to be considered. These include the effects of substrate concentrations (glucose, nitrogen), light intensity, and carbon dioxide levels on biomass and lipid production. Additionally, optimizing light conditions, such as cycling high-intensity lights to determine the best Dark:Light ratios, can enhance aerial biomass productivities. Furthermore, life cycle modeling can aid in predicting market trends and technological advancements in microalgal lipid innovations, providing valuable insights for decision-making and investment strategies. Understanding how light and nitrogen dynamics regulate cellular processes in microalgae is crucial for modeling transient changes in neutral lipid production. By integrating these insights, a robust model can be developed to predict and optimize algal growth and lipid production for sustainable biofuel and high-value product applications.
•What question or problem is the author addressing?
4 answers
The authors in the provided contexts address various questions and problems related to different medical topics. These include issues such as the ethical implications of bypassing professional visits for colorectal cancer screening and breast cancer screening marketing strategies, the challenges and considerations in epidemiological analyses of venous thromboembolism risks associated with different oral contraceptives, the complexities of blood-breath alcohol ratio measurements and the need for a new paradigm to explain anomalies in traditional models, the impact of glucocorticosteroids and combined oral contraceptives on testosterone levels and sexual well-being in women, and the evaluation of surgical techniques for acromioclavicular joint separations, highlighting the importance of individualized approaches and potential complications. Each context delves into specific issues within their respective medical fields, providing insights and addressing critical questions and challenges.
Factors influencing nanoparticles Toxicity??
5 answers
Nanoparticles' toxicity is influenced by various factors. The size, shape, surface area, and surface chemistry of nanoparticles play crucial roles in determining their toxic effects on biological systems. Additionally, the type of nanoparticles and exposure pathways are key determinants of nanoparticle accumulation and subsequent toxicity, with different nanoparticles exhibiting varying levels of toxicity based on their elemental composition. Factors such as the generation of reactive oxygen species, cytotoxicity, genotoxicity, neurotoxicity, and inflammation are common mechanisms through which nanoparticles induce toxicity in cells and organisms. Understanding these factors is essential for assessing and mitigating the potential health risks associated with nanoparticle exposure in various applications.
What are the challenges to be considered in nitrogen based biofertilizers?
5 answers
Challenges in nitrogen-based biofertilizers include contamination risks like heavy metals and pathogens, hindrances in social acceptance due to transportation and production costs, nutrient concentration issues, crop compatibility, and policy framework challenges. Additionally, the global demand for nitrogen biofertilizers is driven by the need to bridge the nutrient supply gap for sustainable crop production. Furthermore, the transition towards sustainable agriculture emphasizes the importance of effectively recovering and upgrading used nitrogen from secondary resources to meet fertilizer demands. Despite advancements in bioprocessing technologies to produce biological ammonia, there are still research gaps that need attention for bio-ammonia to become industrially viable.
What are the key factors that influence the choice of multivariate GARCH models for asset allocation in financial markets?
5 answers
The choice of multivariate GARCH models for asset allocation in financial markets is influenced by several key factors. These factors include the sample window period, forecasting horizon, financial period, and the underlying distribution of log returns. Additionally, the performance of GARCH models is impacted by the complexity of model structures and estimation procedures, which can be streamlined without compromising predictive performance. Furthermore, the selection of the appropriate GARCH model is crucial, as different models exhibit varying performance in capturing volatility interactions between assets, such as global crude oil prices and stock market indices. Finally, reducing the number of parameters in large multivariate GARCH models is essential to cope with the 'curse of dimensionality,' with recent developments focusing on rotated multivariate GARCH models for effective parameter reduction.