10,000 publications from this institution
Breaking the donor limits: The remarkable coordination chemistry of ECHE (E=Si, Ge) ligands with Group 9 metals (Ir, Rh) and their application in catalytic CH borylation of arenes was investigated. The spectroscopic and structural features of the first [ECE] iridium complexes show the stronger σ-donating properties of the divalent Si and Ge pincer ligands compared to analogous PIII-based ligands.
We honor Professor Hartmut Karl Lichtenthaler, a versatile pioneer of photosynthesis research, plant physiology, isoprenoid biochemistry, and stress physiology of plants, for his groundbreaking and creative contributions to plant science. His innovative research on the chemical composition, ultrastructure, and function of chloroplasts and his detection of the major methylerythritol 4-phosphate (MEP) isoprenoid biosynthetic pathway in plants is key to our current understanding of the physiology and biochemistry of photosynthesis systems. His ingenious use of the powerful laser-induced chlorophyll <i>a</i> fluorescence imaging has helped us better understand the stress response processes in plant leaves. In this tribute, we present a summary of Lichtenthaler's career, significant scientific contributions, editorial engagement, promotion of international cooperation, many honors, and awards, as well as his devotion to hiking and mountaineering.
GE Research Center (GRC) and the University of California, Berkeley (UCB) executed an 15-month, $1.0 MM program to develop a lab-scale material system to extract CO<sub>2</sub> from ambient air using UCB’s pioneering sorbent technology and GRC’s composite coating expertise. The primary objective of this project was to develop an “Advanced Integrated Reticular Sorbent-Coated System to Capture CO<sub>2</sub> from the Atmosphere (AIR2CO2)” at a Technology Readiness Level (TRL) of 3. The AIR2CO2 concept relies on two key innovations: 1) advanced sorbent architectures with high capacity and rapid sorption kinetics that enable effective CO<sub>2</sub> capture at low concentrations, and 2) tailored MOF-binder slurry formulations and coating processes that enable sorbent integration into a novel additively-manufactured contactor.
In this paper we consider the potential for congestion collapse in a range of network scenarios. In particular, we are interested in the effect of the topology, the scheduling discipline (FIFO or FQ scheduling), the level of statistical multiplexing, the traffic characteristics, and other factors. We consider topologies more complex than a single congested link, or a single string of congested links. This paper first shows that it is possible to have high equilibrium loss rates with rational greedy senders sharing a FIFO link or with greedy senders sharing an FQ link with bursty cross-traffic. We then consider specific topologies with a range of senders to calculate steady-state packet loss rates and derive the goodput of the congested links. In particular, we find some scenarios where goodput is higher with FQ scheduling, and other scenarios where goodput is higher with FIFO scheduling.
This repository exists to share the data and scripts used in the paper "Thermodynamics of proton insertion across the perovskite-brownmillerite transition in La0.5Sr0.5CoO3-δ" by Armand J. Lannerd, Nathan J. Szymanski, and Christopher J. Bartel. The files are contained in the folder `protonation-of-lsco` with additional detailed information presented in the `README.md` files of each subfolder (`scripts`, `figures`, `dos_data`, and `data`).
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
The authors propose the oscillator neural network, in which the sigmoid nonlinearity of the Hopfield neural network is replaced by the Van der Pol oscillator. The oscillator neural network has the advantage that no simulated annealing is necessary to obtain a reasonable solution. They demonstrate that the 4-b analog to digital (A/D) converter problem, the 10-city traveling salesman problem and the associative memory problem, can be solved by the proposed neural network.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>