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Institution

Technical University of Berlin

EducationBerlin, Germany
About: Technical University of Berlin is a education organization based out in Berlin, Germany. It is known for research contribution in the topics: Laser & Catalysis. The organization has 27292 authors who have published 59342 publications receiving 1414623 citations. The organization is also known as: Technische Universität Berlin & TU Berlin.


Papers
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Journal ArticleDOI
TL;DR: A machine learning model is introduced to predict atomization energies of a diverse set of organic molecules, based on nuclear charges and atomic positions only, and applicability is demonstrated for the prediction of molecular atomization potential energy curves.
Abstract: We introduce a machine learning model to predict atomization energies of a diverse set of organic molecules, based on nuclear charges and atomic positions only. The problem of solving the molecular Schrodinger equation is mapped onto a nonlinear statistical regression problem of reduced complexity. Regression models are trained on and compared to atomization energies computed with hybrid density- functional theory. Cross validation over more than seven thousand organic molecules yields a mean absolute error of � 10 kcal=mol. Applicability is demonstrated for the prediction of molecular atomization potential energy curves.

1,755 citations

Proceedings ArticleDOI
07 Nov 2018
TL;DR: The latest developments concerning intermodal traffic solutions, simulator coupling and model development and validation on the example of the open source traffic simulator SUMO are presented.
Abstract: Microscopic traffic simulation is an invaluable tool for traffic research. In recent years, both the scope of research and the capabilities of the tools have been extended considerably. This article presents the latest developments concerning intermodal traffic solutions, simulator coupling and model development and validation on the example of the open source traffic simulator SUMO.

1,722 citations

Journal ArticleDOI
Henry N. Chapman1, Petra Fromme2, Anton Barty, Thomas A. White, Richard A. Kirian2, Andrew Aquila, Mark S. Hunter2, Joachim Schulz, Daniel P. DePonte, Uwe Weierstall2, R. Bruce Doak2, Filipe R. N. C. Maia3, Andrew V. Martin, Ilme Schlichting4, Lukas Lomb4, Nicola Coppola5, Robert L. Shoeman4, Sascha W. Epp4, Robert Hartmann, Daniel Rolles4, Artem Rudenko4, Lutz Foucar4, Nils Kimmel4, Georg Weidenspointner4, Peter Holl, Mengning Liang, Miriam Barthelmess, Carl Caleman, Sébastien Boutet6, Michael J. Bogan6, Jacek Krzywinski6, Christoph Bostedt6, Saša Bajt, Lars Gumprecht, Benedikt Rudek4, Benjamin Erk4, Carlo Schmidt4, André Hömke4, Christian Reich, Daniel Pietschner4, Lothar Strüder4, Günter Hauser4, H. Gorke7, Joachim Ullrich4, Sven Herrmann4, Gerhard Schaller4, Florian Schopper4, Heike Soltau, Kai-Uwe Kühnel4, Marc Messerschmidt6, John D. Bozek6, Stefan P. Hau-Riege8, Matthias Frank8, Christina Y. Hampton6, Raymond G. Sierra6, Dmitri Starodub6, Garth J. Williams6, Janos Hajdu3, Nicusor Timneanu3, M. Marvin Seibert6, M. Marvin Seibert3, Jakob Andreasson3, Andrea Rocker3, Olof Jönsson3, Martin Svenda3, Stephan Stern, Karol Nass1, Robert Andritschke4, Claus Dieter Schröter4, Faton Krasniqi4, Mario Bott4, Kevin Schmidt2, Xiaoyu Wang2, Ingo Grotjohann2, James M. Holton9, Thomas R. M. Barends4, Richard Neutze10, Stefano Marchesini9, Raimund Fromme2, Sebastian Schorb11, Daniela Rupp11, M. Adolph11, Tais Gorkhover11, Inger Andersson12, Helmut Hirsemann, Guillaume Potdevin, Heinz Graafsma, Björn Nilsson, John C. H. Spence2 
03 Feb 2011-Nature
TL;DR: This work offers a new approach to structure determination of macromolecules that do not yield crystals of sufficient size for studies using conventional radiation sources or are particularly sensitive to radiation damage, by using pulses briefer than the timescale of most damage processes.
Abstract: X-ray crystallography provides the vast majority of macromolecular structures, but the success of the method relies on growing crystals of sufficient size. In conventional measurements, the necessary increase in X-ray dose to record data from crystals that are too small leads to extensive damage before a diffraction signal can be recorded(1-3). It is particularly challenging to obtain large, well-diffracting crystals of membrane proteins, for which fewer than 300 unique structures have been determined despite their importance in all living cells. Here we present a method for structure determination where single-crystal X-ray diffraction 'snapshots' are collected from a fully hydrated stream of nanocrystals using femtosecond pulses from a hard-X-ray free-electron laser, the Linac Coherent Light Source(4). We prove this concept with nanocrystals of photosystem I, one of the largest membrane protein complexes(5). More than 3,000,000 diffraction patterns were collected in this study, and a three-dimensional data set was assembled from individual photosystem I nanocrystals (similar to 200 nm to 2 mm in size). We mitigate the problem of radiation damage in crystallography by using pulses briefer than the timescale of most damage processes(6). This offers a new approach to structure determination of macromolecules that do not yield crystals of sufficient size for studies using conventional radiation sources or are particularly sensitive to radiation damage.

1,708 citations

Journal ArticleDOI
TL;DR: The fouling behaviour, fouling factors and fouling control strategies were discussed, and recent developments in membrane materials including low-cost filters, membrane modification and dynamic membranes were reviewed.

1,708 citations

Journal ArticleDOI
TL;DR: Recommendations regarding the use of the EEO concept, including the upscaling of laboratory results, were derived from an extensive analysis of studies reported in the peer-reviewed literature enabling a critical comparison of various established and emerging AOPs based on electrical energy per order (EEO) values.

1,677 citations


Authors

Showing all 27602 results

NameH-indexPapersCitations
Markus Antonietti1761068127235
Jian Li133286387131
Klaus-Robert Müller12976479391
Michael Wagner12435154251
Shi Xue Dou122202874031
Xinchen Wang12034965072
Michael S. Feld11955251968
Jian Liu117209073156
Ary A. Hoffmann11390755354
Stefan Grimme113680105087
David M. Karl11246148702
Lester Packer11275163116
Andreas Heinz108107845002
Horst Weller10545144273
G. Hughes10395746632
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023191
2022650
20213,307
20203,387
20193,105
20182,910