13 research outputs found
Photoelectronic Responses in Solution-Processed Perovskite CH[3]NH[3]PbI[3] Solar Cells Studied by Photoluminescence and Photoabsorption Spectroscopy
Photoelectronic responses of organic-inorganic hybrid perovskite CH[3]NH[3]PbI[3] on mesoporous TiO[2] electrodes are investigated. On the basis of near-band-edge optical absorption and photoluminescence spectra, the bandgap energy and exciton binding energy as a function of temperature are obtained. The exciton binding energy is much smaller than thermal energy at room temperature, which means that most excitons are thermally dissociated, and optical processes are determined by the photoexcited electrons and holes. We determined the temperature dependence of exciton binding energy, which changes from ~30 meV at 13 K to 6 meV at 300 K. In addition, the bandgap energy and the exciton binding energy show abrupt changes at 150 K due to structural phase transition. Our fundamental optical studies provide essential information for improving the device performance of solar cells based on halide perovskite semiconductors
Guideline for Hereditary Angioedema (HAE) 2010 by the Japanese Association for Complement Research - Secondary Publication
ABSTRACTThis guideline was provided by the Japanese Association for Complement Research targeting clinicians for making an accurate diagnosis of hereditary angioedema (HAE), and for prompt treatment of the HAE patient in Japan. This is a 2010 year version and will be updated according to any pertinent medical advancements
Medical Needs Extraction for Breast Cancer Patients from Question and Answer Services: Natural Language Processing-Based Approach
Background: A large number of patient narratives are available on various web services. As for web question and answer services, patient questions often relate to medical needs, and we expect these questions to provide clues for a better understanding of patients’ medical needs. Objective: This study aimed to extract patients’ needs and classify them into thematic categories. Clarifying patient needs is the first step in solving social issues that patients with cancer encounter. Methods: For this study, we used patient question texts containing the key phrase “breast cancer,“ available at the Yahoo! Japan question and answer service, Yahoo! Chiebukuro, which contains over 60,000 questions on cancer. First, we converted the question text into a vector representation. Next, the relevance between patient needs and existing cancer needs categories was calculated based on cosine similarity. Results: The proportion of correct classifications in our proposed method was approximately 70%. Considering the results of classifying questions, we found the variation and the number of needs. Conclusions: We created 3 corpora to classify the problems of patients with cancer. The proposed method was able to classify the problems considering the question text. Moreover, as an application example, the question text that included the side effect signaling of drugs and the unmet needs of cancer patients could be extracted. Revealing these needs is important to fulfill the medical needs of patients with cancer
Identifying an Optimum Perovskite Solar Cell Structure by Kinetic Analysis: Planar, Mesoporous Based, or Extremely Thin Absorber Structure
Perovskite solar cells have rapidly
been developed over the past
several years. Choice of the most suitable solar cell structure is
crucial to improve the performance further. Here, we attempt to determine
an optimum cell structure for methylammonium lead iodide (MAPbI<sub>3</sub>) perovskite sandwiched by TiO<sub>2</sub> and spiro-OMeTAD
layers, among planar heterojunction, mesoporous structure, and extremely
thin absorber structure, by identifying and comparing charge carrier
diffusion coefficients of the perovskite layer, interfacial charge
transfer, and recombination rates using transient emission and absorption
spectroscopies. An interfacial electron transfer from MAPbI<sub>3</sub> to compact TiO<sub>2</sub> occurs with a time constant of 160 ns,
slower than the perovskite photoluminescence (PL) lifetime (34 ns).
In contrast, fast non-exponential electron injection to mesoporous
TiO<sub>2</sub> was observed with at least two different electron
injection processes over different time scales; one (60–70%)
occurs within an instrument response time of 1.2 ns and the other
(30–40%) on nanosecond time scale, while most of hole injection
(85%) completes in 1.2 ns. Analysis of the slow charge injection data
revealed an electron diffusion coefficient of 0.016 ± 0.004 cm<sup>2</sup> s<sup>–1</sup> and a hole diffusion coefficient of
0.2 ± 0.02 cm<sup>2</sup> s<sup>–1</sup> inside MAPbI<sub>3</sub>. To achieve an incident photon-to-current conversion efficiency
of >80%, a minimum charge carrier diffusion coefficient of 0.08
cm<sup>2</sup> s<sup>–1</sup> was evaluated. An interfacial
charge
recombination lifetime was increased from 0.5 to 40 ms by increasing
a perovskite layer thickness, suggesting that the perovskite layer
suppresses charge recombination reactions. Assessments of charge injection
and interfacial charge recombination processes indicate that the optimum
solar cell structure for the MAPbI<sub>3</sub> perovskite is a mesoporous
TiO<sub>2</sub> based structure. This comparison of kinetics has been
applied to several different types of photoactive semiconductors such
as perovskite, CdTe, and GaAs, and the most appropriate solar cell
structure was identified
Origin of Open-Circuit Voltage Loss in Polymer Solar Cells and Perovskite Solar Cells
Herein,
the open-circuit voltage (<i>V</i><sub>OC</sub>) loss in
both polymer solar cells and perovskite solar cells is quantitatively
analyzed by measuring the temperature dependence of <i>V</i><sub>OC</sub> to discuss the difference in the primary loss mechanism
of <i>V</i><sub>OC</sub> between them. As a result, the
photon energy loss for polymer solar cells is in the range of about
0.7–1.4 eV, which is ascribed to temperature-independent and
-dependent loss mechanisms, while that for perovskite solar cells
is as small as about 0.5 eV, which is ascribed to a temperature-dependent
loss mechanism. This difference is attributed to the different charge
generation and recombination mechanisms between the two devices. The
potential strategies for the improvement of <i>V</i><sub>OC</sub> in both solar cells are further discussed on the basis of
the experimental data