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2000


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Replacing muons by protons: polarized beam NMR

Schüth, J., Eversheim, P.-D., Herzog, P., Maier, K., Majer, G., Meyer, P., Roduner, E.

{Physica B}, 289-290, pages: 672-675, 2000 (article)

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Charge transport mechanisms in single crystalline yttrium iron garnet as resolved by magnetic relaxation

Walz, F., Torres, L., Iñiguez, J., Kronmüller, H.

{Physica Status Solidi (A)}, 180, pages: 507-522, 2000 (article)

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[BibTex]

[BibTex]


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Theory of self-diffusion in alkali metals I. Results for monovacancies in Li, Na, and K

Schott, V., Fähnle, M., Madden, P. A.

{Journal of Physics: Condensed Matter}, 12, pages: 1171-1194, 2000 (article)

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[BibTex]

[BibTex]


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Theory of self-diffusion in alkali metals II. The influence of divacancies in Li

Schott, V., Fähnle, M., Madden, P. A.

{Journal of Physics: Condensed Matter}, 12, pages: 1195-1198, 2000 (article)

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[BibTex]


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Decay kinetics of nonequilibrium Al-Si solid solutions

Sluchanko, N. E., Glushkov, V. V., Demishev, S. V., Kondrin, M. V., Ischenko, T. V., Gust, W., Brazhkin, V. V., Straumal, B. B., Bruynseraede, Y., Moshchalkov, V. V.

{Physical Review B}, 61, pages: 6019-6027, 2000 (article)

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Vacuum arc deposition of Ti coatings

Straumal, B., Gust, W., Vershinin, N., Dimitriou, R., Rabkin, E.

{Surface and Coatings Technology}, 125, pages: 157-160, 2000 (article)

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[BibTex]


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Internal friction in Ni-rich B2-NiAl

Brossmann, U., Hirscher, M., Schaible, D., Kronmüller, H.

{Scripta Materialia}, 42, pages: 1193-1197, 2000 (article)

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[BibTex]


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Spectral distribution of activation energies in YBa2Cu3O7-δthin films

Warthmann, R., Albrecht, J., Kronmüller, H., Joos, C.

{Physical Review B}, 62, pages: 15226-15229, 2000 (article)

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Pre-treatment of large area strips with the aid of a high power hall current accelerator

Vershinin, N., Dimitriou, R., Benmalek, M., Straumal, B., Gust, W., Vivas, J., Shulga, J.

{Surface and Coatings Technology}, 125, pages: 35-39, 2000 (article)

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[BibTex]


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In vivo diabetic wound healing with nanofibrous scaffolds modified with gentamicin and recombinant human epidermal growth factor

Dwivedi, C., Pandey, I., Pandey, H., Patil, S., Mishra, S. B., Pandey, A. C., Zamboni, P., Ramteke, P. W., Singh, A. V.

Journal of Biomedical Materials Research Part A, 106(3):641-651, March (article)

Abstract
Abstract Diabetic wounds are susceptible to microbial infection. The treatment of these wounds requires a higher payload of growth factors. With this in mind, the strategy for this study was to utilize a novel payload comprising of Eudragit RL/RS 100 nanofibers carrying the bacterial inhibitor gentamicin sulfate (GS) in concert with recombinant human epidermal growth factor (rhEGF); an accelerator of wound healing. GS containing Eudragit was electrospun to yield nanofiber scaffolds, which were further modified by covalent immobilization of rhEGF to their surface. This novel fabricated nanoscaffold was characterized using scanning electron microscopy, Fourier transform infrared spectroscopy, and X‐ray diffraction. The thermal behavior of the nanoscaffold was determined using thermogravimetric analysis and differential scanning calorimetry. In the in vitro antibacterial assays, the nanoscaffolds exhibited comparable antibacterial activity to pure gentemicin powder. In vivo work using female C57/BL6 mice, the nanoscaffolds induced faster wound healing activity in dorsal wounds compared to the control. The paradigm in this study presents a robust in vivo model to enhance the applicability of drug delivery systems in wound healing applications. © 2017 Wiley Periodicals, Inc. J Biomed Mater Res Part A: 106A: 641–651, 2018.

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link (url) DOI [BibTex]


link (url) DOI [BibTex]


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Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties

Marco, A., Baumann, D., Hennig, P., Trimpe, S.

Submitted to Journal (under review) (article)

Abstract
Learning robot controllers by minimizing a black-box objective cost using Bayesian optimization (BO) can be time-consuming and challenging. It is very often the case that some roll-outs result in failure behaviors, causing premature experiment detention. In such cases, the designer is forced to decide on heuristic cost penalties because the acquired data is often scarce, or not comparable with that of the stable policies. To overcome this, we propose a Bayesian model that captures exactly what we know about the cost of unstable controllers prior to data collection: Nothing, except that it should be a somewhat large number. The resulting Bayesian model, approximated with a Gaussian process, predicts high cost values in regions where failures are likely to occur. In this way, the model guides the BO exploration toward regions of stability. We demonstrate the benefits of the proposed model in several illustrative and statistical synthetic benchmarks, and also in experiments on a real robotic platform. In addition, we propose and experimentally validate a new BO method to account for unknown constraints. Such method is an extension of Max-Value Entropy Search, a recent information-theoretic method, to solve unconstrained global optimization problems.

PDF link (url) [BibTex]


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textes
(article)

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Robotics Research

Tong, Chi Hay, Furgale, Paul, Barfoot, Timothy D, Guizilini, Vitor, Ramos, Fabio, Chen, Yushan, T\uumová, Jana, Ulusoy, Alphan, Belta, Calin, Tenorth, Moritz, others

(article)

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[BibTex]

[BibTex]