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Institution

Schrödinger

Company
About: Schrödinger is a based out in . It is known for research contribution in the topics: Sputtering & Ion. The organization has 1621 authors who have published 2200 publications receiving 81554 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the amino acid ligands are tridentate in 1, with deprotonated sulphur atoms adopting a bridging position between two ruthenium atoms, leading to the formation of a four-membered RuSRuS-ring.

75 citations

Journal ArticleDOI
TL;DR: In this article, an accurate numerical simulation of the resin transfer molding process is presented, where the transverse permeability coefficients of the applied textile reinforcement are derived from the measurement of flow front propagation through a stack of planar fiber preforms.
Abstract: A basic requirement for an accurate numerical simulation of the resin transfer moulding process is a set of exact permeability coefficients of the applied textile reinforcement. The permeabilities are usually obtained from the measurement of flow front propagation through a stack of planar fibre preforms. While measuring the in-plane flow is considered as rather simple, the detection of a flow front that moves perpendicular to the laminate plane emerges to be difficult. Therefore, the knowledge of the transverse impregnation behaviour is still sparse and transverse permeability values were determined for a very few fabrics only. The knowledge of an exact transverse permeability is important for the three-dimensional simulation of flow through thick sectioned parts and for specific RTM-related processes like resin film infusion or SCRIMP®. This paper addresses the monitoring of flow front propagation utilizing ultrasound transmission. A testing rig was developed for monitoring three-dimensional ellipsoidal impregnation, which is induced by point injection. Two multidirectional non-crimped fabrics were characterised by the three-dimensional measurement. For the determination of the transverse permeability the three-dimensional filling was emulated by a numerical flow simulation software.

75 citations

Journal ArticleDOI
TL;DR: In this article, a hexagonal boron nitride target was sputtered by reactive r.f.-magnetron sputtering in an argon/acetylene atmosphere of a constant pressure of 2 × 10−2 mbar.

75 citations

Journal ArticleDOI
TL;DR: A fast analytical formula has been derived for the calculation of approximate atomic and molecular solvent-accessible surface areas (SASA) and first and second derivatives of these quantities with respect to atomic coordinates, which is considerably faster than timings reported previously for other algorithms.
Abstract: A fast analytical formula (TDND) has been derived for the calculation of approximate atomic and molecular solvent-accessible surface areas (SASA), as well as the first and second derivatives of these quantities with respect to atomic coordinates. Extending the work of Stouten et al. (Molecular Simulation, 1993, Vol. 10, pp. 97-120), as well as our own (Journal of Computational Chemistry, 1999, Vol. 20, pp. 586-596), the method makes use of a Gaussian function to calculate the neighbor density in four tetrahedral directions in three-dimensional space, sometimes twice with different orientations. SASA and first derivatives of the 2366 heavy atoms of penicillopepsin are computed in 0.13 s on an SGI R10000/194 MHz processor. When second derivatives are computed as well, the total time is 0.23 s. This is considerably faster than timings reported previously for other algorithms. Based on a parameterization set of nineteen compounds of different size (11-4346 atoms) and class (organics, proteins, DNA, and various complexes) consisting of a total 23,197 atoms, the method exhibits relative errors in the range 0.2-12.6% for total molecular surface areas and average absolute atomic surface area deviations in the range 1.7 to 3.6 A(2).

74 citations


Authors

Showing all 1631 results

NameH-indexPapersCitations
Carlo Rovelli1461502103550
Stephen Fairhurst10942671657
Richard A. Friesner9736752729
Abhay Ashtekar9436637508
David E. Shaw8829842616
A. M. Vinogradov8636223091
Andrea Negri7924235311
George F. R. Ellis7645330364
Burkard Hillebrands7658623270
Vlatko Vedral7551233162
Klaus Friedrich7537419061
Ruhong Zhou7035218687
Lukas Schreiber6921714212
Lionel Tarassenko6739516265
Joachim R. Krenn6622417514
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202216
202169
202076
201967
201861