Results 61 to 70 of about 656,651 (288)
Better force fields start with better data: A data set of cation dipeptide interactions
Measurement(s) Some Energy • Charge • Electrostatic Potential • Electron Density • Conformational Search Technology Type(s) Computational Chemistry • Computational Chemistry Statistics • Multi-Stage Sampling Sample Characteristic - Organism Amino Acid ...
Xiaojuan Hu +2 more
doaj +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Cost Pass‐Through in Crisis: Evidence From the German Malt‐Beer Supply Chain
Abstract Global agri‐food supply chains are increasingly exposed to geopolitical shocks, climate volatility, and market consolidation, factors that disrupt traditional price relationships and reshape market power dynamics. Nowhere is this more visible than in the brewing sector, where agricultural raw materials meet complex industrial processing and ...
Nikolas Bublik, Lukáš Čechura
wiley +1 more source
Co-expression of cell wall related genes: new tools and insights
Global transcript analyses based on publicly available microarray dataset have revealed that genes with similar function tend to be transcriptionally coordinated.
Colin eRuprecht, Staffan ePersson
doaj +1 more source
Dynamics and manipulation of entanglement in coupled harmonic systems with many degrees of freedom
Published ...
Audenaert K +24 more
core +2 more sources
Optically controlled grippers for manipulating micron-sized particles [PDF]
We report the development of a joystick controlled gripper for the real-time manipulation of micron-sized objects, driven using holographic optical tweezers (HOTs).
Ashkin A +8 more
core +3 more sources
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
The solvation shell probed by resonant intermolecular Coulombic decay
Molecules involved in solvation shells have properties differing from those of the bulk solvent, which can in turn affect reactivity. Among key properties of these molecules are their nature and electronic structure.
Rémi Dupuy +8 more
doaj +1 more source
Plant cell shapes: Modulators and Measurements
Plant cell shape, seen as an integrative output, is of considerable interest in various fields, such as cell wall research, cytoskeleton dynamics and biomechanics.
Alexander eIvakov, Staffan ePersson
doaj +1 more source
HITRAP: A facility at GSI for highly charged ions
An overview and status report of the new trapping facility for highly charged ions at the Gesellschaft fuer Schwerionenforschung is presented. The construction of this facility started in 2005 and is expected to be completed in 2008.
Beier, T. +22 more
core +1 more source

