学位論文要旨および審査要旨(障害のある人の就労における社会福祉的支援の在り方)

departmental bulletin pape

K-point longitudinal acoustic phonons are responsible for ultrafast intervalley scattering in monolayer MoSe2

In transition metal dichalcogenides, valley depolarization through intervalley carrier scattering by zone-edge phonons is often unavoidable. Although valley depolarization processes related to various acoustic phonons have been suggested, their optical verification is still vague due to nearly degenerate phonon frequencies on acoustic phonon branches at zone-edge momentums. Here we report an unambiguous phonon momentum determination of the longitudinal acoustic (LA) phonons at the K point, which are responsible for the ultrafast valley depolarization in monolayer MoSe2. Using sub-10-fs-resolution pump-probe spectroscopy, we observed coherent phonons signals at both even and odd-orders of zone-edge LA mode involved in intervalley carrier scattering process. Our phonon-symmetry analysis and first-principles calculations reveal that only the LA phonon at the K point, as opposed to the M point, can produce experimental odd-order LA phonon signals from its nonlinear optical modulation. This work will provide momentum-resolved descriptions of phonon-carrier intervalley scattering processes in valleytronic materials.journal articl

Observation of B+ → χc0K+

journal articl

LES CERCLES DE QUALITE AUREZ-VOUS DES YEUX BRIDES?

application/pdfdepartmental bulletin pape

デジタル ギジュツ ニ ヨル ブッシツ タンサク

video/mp4近年、デジタル技術の急速な発達によって様々な分野において人工知能の有用性が示され、物質創成や材料探索においても盛んに活用されています。この講座では、これまでの科学の歴史の概観から始め、現代の物質探索におけるシミュレーションや人工知能などデジタル技術の活用事例の説明と実験自動化について紹介します。講座を通して、人工知能による新物質設計、そしてロボットによる実証実験という未来を感じて貰えればと思います。講演場所: ミレニアムホール講演日2023年10月14日講演者所属: 本学物質創成科学領域vide

研究速報 : 鋳鉄の半溶融鍛造・2

departmental bulletin pape

Transcript abundance of microvilli associated-like proteins compared between unfed and blood fed sand flies

<p><b>Copyright information:</b></p><p>Taken from "Exploring the midgut transcriptome of comparative analysis of expression profiles of sugar-fed, blood-fed and -infected sandflies"</p><p>http://www.biomedcentral.com/1471-2164/8/300</p><p>BMC Genomics 2007;8():300-300.</p><p>Published online 30 Aug 2007</p><p>PMCID:PMC2034597.</p><p></p> A, C, E: ,,transcript fold over control (reference transcript = alpha tubulin) in unfed and blood fed midgut. B, C, F: ,,semi-quantitative PCR amplified transcripts separated by agarose electrophoresis

Phylogenetic analysis of trypsins from (Ce), (Rn), (Mm), (Hs), (Bg), (Ag), (As), (Aa), (Dm), (Cs), and (Pp)

<p><b>Copyright information:</b></p><p>Taken from "Exploring the midgut transcriptome of comparative analysis of expression profiles of sugar-fed, blood-fed and -infected sandflies"</p><p>http://www.biomedcentral.com/1471-2164/8/300</p><p>BMC Genomics 2007;8():300-300.</p><p>Published online 30 Aug 2007</p><p>PMCID:PMC2034597.</p><p></p> The accession number of the sequence used is in parentheses and node support indicated by the bootstrap values

Multiple sequence alignment of the four putative microvilli associated-like proteins found in the midgut of

<p><b>Copyright information:</b></p><p>Taken from "Exploring the midgut transcriptome of comparative analysis of expression profiles of sugar-fed, blood-fed and -infected sandflies"</p><p>http://www.biomedcentral.com/1471-2164/8/300</p><p>BMC Genomics 2007;8():300-300.</p><p>Published online 30 Aug 2007</p><p>PMCID:PMC2034597.</p><p></p> Predicted signal peptide sequence is underlined and the accession numbers given in parentheses

Chemometrics Approach Based on Wavelet Transforms for the Estimation of Monomer Concentrations from FTIR Spectra

Fourier-transform infrared (FTIR) spectroscopy can detect the presence of functional groups and molecules directly from a mixed solution of organic molecules. Although it is quite useful to monitor chemical reactions, quantitative analysis of FTIR spectra becomes difficult when various peaks of different widths overlap. To overcome this difficulty, we propose a chemometrics approach to accurately predict the concentration of components in chemical reactions, yet interpretable by humans. The proposed method first decomposes a spectrum into peaks with various widths by the wavelet transform. Subsequently, a sparse linear regression model is built using the wavelet coefficients. Models by the method are interpretable using the regression coefficients shown on Gaussian distributions with various widths. The interpretation is expected to reveal the relation of broad regions in spectra to the model prediction. In this study, we conducted the prediction of monomer concentration in copolymerization reactions of five monomers against methyl methacrylate by various chemometric approaches including conventional methods. A rigorous validation scheme revealed that the proposed method overall showed better predictive ability than various linear and non-linear regression methods. The visualization results were consistent with the interpretation obtained by another chemometric approach and qualitative evaluation. The proposed method is found to be useful for calculating the concentrations of monomers in copolymerization reactions and for the interpretation of spectra.journal articl