Results 21 to 30 of about 108,979 (184)

Biodegradable and Recyclable Luminescent Mixed‐Matrix‐Membranes, Hydrogels, and Cryogels based on Nanoscale Metal‐Organic Frameworks and Biopolymers

Advanced Functional Materials, EarlyView.
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner, Julian Burkhart, Kateryna Borysova, Chiara Mazzariol, Klaus Müller‐Buschbaum   +4 more
wiley   +1 more source

"Quantization is a mystery" [PDF]

, 2012
Expository notes which combine a historical survey of the development of quantum physics with a review of selected mathematical topics in quantization theory (addressed to students that are not complete novices in quantum mechanics). After recalling in
Todorov, Ivan
core   +1 more source

Quantum Integrals of Motion for Variable Quadratic Hamiltonians

, 2010
We construct the integrals of motion for several models of the quantum damped oscillators in nonrelativistic quantum mechanics in a framework of a general approach to the time-dependent Schroedinger equation with variable quadratic Hamiltonians.
Andriopoulos, Antonsen, Arrighini, Bateman, Bateman, Beauregard, Berry, Berry, Bertoni, Bogoliubov, Brittin, Brown, Caldirola, Camiz, Cariñena, Cariñena, Cavalcanti, Cerveró, Chandrasekar, Cheng, Cheng, Chernega, Chruściński, Chruściński, Chruściński, Cordero-Soto, Cordero-Soto, Cordero-Soto, Courant, Dalfovo, Degasperis, Dekker, Delgado, Denman, Ditto, Dodonov, Dodonov, Dodonov, Dodonov, Doktorov, Ehrenfest, Eliezer, Erwin Suazo, Faddeev, Feynman, Feynman, Feynman, Finelli, Finelli, Gottfried, Goyal, Hagedorn, Hagedorn, Hannay, Hawkins, Hille, Holstein, Holstein, Husimi, Husimi, Iacob, Ivanova, Kagan, Kagan, Kamenshchik, Kanai, Karavayev, Kheirandish, Kim, Kivshar, Klauder, Kochan, Kochan, Kochan, Kruskal, Landau, Landau, Lanfear, Leach, Leach, Leach, Leach, Leach, Leach, Lewis, Lewis, Lewis, Lewis, Lieb, Lopez, Major, Malkin, Malkin, Malkin, Malkin, Mandilara, Maslov, Meiler, Merzbacher, Milne, Montesinos, Morales, Mostafazadeh, Muñoz, Nardone, Nieto, Nikiforov, Oh, Padilla, Pedrosa, Perelomov, Perelomov, Pinney, Popov, Popov, Pérez-García, Reithmaier, Ricardo Cordero-Soto, Robinett, Rosu, Ryan, Safonov, Sargent, Schiff, Schuch, Scully, Sergei K. Suslov, Smirnov, Solimeno, Suazo, Suazo, Suazo, Suslov, Svin'in, Svin'in, Symon, Tarasov, Tarasov, Thomber, Tikochinsky, Um, Velo, von Neumann, Walls, Wolf, Y-G, Yeon, Yeon   +147 more
core   +1 more source

3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries

Advanced Functional Materials, EarlyView.
Rheology‐guided formulation design for direct ink writing enables the fabrication of 3D sulfur copolymer cathodes with controlled architectures for lithium‐sulfur batteries. The printed electrodes exhibit multiscale porosity and high sulfur utilization, delivering enhanced electrochemical performance compared to conventional cast electrodes.
Bin Ling, Haoran Wang, Pan Yang, Rishav Agrawal, Alex R. Neale, Laurence J. Hardwick, Tom Hasell, Esther García‐Tuñón   +7 more
wiley   +1 more source

New Results on Massive 3-Loop Wilson Coefficients in Deep-Inelastic Scattering

, 2016
We present recent results on newly calculated 2- and 3-loop contributions to the heavy quark parts of the structure functions in deep-inelastic scattering due to charm and bottom.Comment: Contribution to the Proc.
Ablinger, J., Behring, A., Blümlein, J., De Freitas, A., Falcioni, G., Hasselhuhn, A., Round, M., Schneider, C., von Manteuffel, A., Wißbrock, F.   +9 more
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Towards a Coherent Theory of Physics and Mathematics [PDF]

, 2002
As an approach to a Theory of Everything a framework for developing a coherent theory of mathematics and physics together is described. The main characteristic of such a theory is discussed: the theory must be valid and and sufficiently strong, and it ...
Benioff, Paul
core   +2 more sources

A New S-S' Pair Creation Rate Expression Improving Upon Zener Curves for I-E Plots

, 2006
To simplify phenomenology modeling used for charge density wave (CDW)transport, we apply a wavefunctional formulation of tunneling Hamiltonians to a physical transport problem characterized by a perturbed washboard potential.
A. W. BECKWITH, Feyman R. P., Miller H., Miller J. H.   +3 more
core   +1 more source

Ceramic Particle‐Reinforced Medium‐Entropy Alloys With Outstanding Mechanical Properties Prepared by Novel Micro‐LPBF

Advanced Functional Materials, EarlyView.
An innovative medium entropy alloy (MEA) composite material was fabricated via micro laser powder bed fusion (μ‐LPBF) with appropriate nano‐ceramic particles doping and exhibited markedly improved overall performance, including synergistically enhanced strength and ductility, increased hardness and compressive strength, improved wear resistance and ...
Zhonglin Shen, Mingwang Fu
wiley   +1 more source

Professor C. N. Yang and Statistical Mechanics

, 2010
Professor Chen Ning Yang has made seminal and influential contributions in many different areas in theoretical physics. This talk focuses on his contributions in statistical mechanics, a field in which Professor Yang has held a continual interest for ...
Bai C. M., Baxter R. J., Bukman D. J., Chiang T. C., Dolan L., Domb C., Domb C., Drinfeld V. G., F. Y. WU, Fisher M. E., Fowler R. H., Lieb E. H., MacMahon P. A., Onsager L., Wu F. Y., Yang C. N., Yang C. N.   +16 more
core   +1 more source