Emerging Technologies in Computational Chemistry
The COMP division holds an annual Symposium on Emerging Technologies in Computational Chemistry at the American Chemical Society Fall National Meeting every year. The objective of the symposium is to stimulate, reward, and publicize methodological advances in computational chemistry. Schrödinger, Inc., sponsors a $2,500 prize for the best talk at the symposium.
The talks are evaluated at the meeting by a panel of experts based on the quality of the presentation and the impact that the research will have on the future of computational chemistry and allied sciences. The symposium is ideal for presenting your latest and best research on new techniques, applications and software development. The talks must be original, not repeats of talks at other ACS symposia.
The competition is open to all.
The Rules (read carefully!):
In order to participate, you must submit a regular short ACS abstract via the ACS MAPS system on the ACS web site.
It is also required to upload a second, longer abstract in pdf format (~1000-word, possibly including an image) to the symposium organizer. The abstracts must clearly explain the new methodology or technology and why the author thinks that it will have an impact in the field of Computers in Chemistry. The long abstracts will be used to select presentations that will compete at the national meeting.
Long abstracts should be a single pdf file, with the presenting author's last (family) name as the start of the file name. The abstract should include title, all authors, the long abstract, and an optional figure.
Abstracts should be sent by email to acs.comp.awards_AT_gmail.com.
Applications for the Emerging Technologies Symposium that cannot be accepted for the competition will be considered for one of the other COMP sessions at the meeting.
Applications for the ACS National Meeting must be uploaded prior to the MAPS deadline announced on the main ACS COMP Division page..
Send questions to:
ACS COMP awards committee
Previous Symposium on Emerging Technologies Competition Winners (presenter in bold)
Justin Smith, Olexandr Isayev, and Adrian E. Roitberg, Neural networks learning quantum chemistry: The rise of the machines
Joshua Hartman and Gregory Beran, Fragment-based NMR Chemical Shift Prediction for Molecular Crystals: Higher Accuracy NMR Crystallography at Lower Computational Cost
Denis Fourches, Next-Generation Technologies in Computational Chemistry
Olexandr Isayev, Denis Fourches, Eugene N Muratov, Kevin Rasch, Stefano Curtarolo, Alexander Tropsha, Materials cartography: Navigating through chemical space using structural and electronic fingerprints
Paul Zimmerman, Catching transition states by throwing ropes to stable intermediates
Howard Feldman (Chemical Computing Group, Inc.)
Chang-Guo Zhan (University of Kentucky), First-principles electronic structure approach for molecular structures, properties, and reactivity in solution: Towards chemical accuracy
Leslie V. Woodcock (University of Manchester Institute of Science and Technology)
Jeremy G. Vinter, Timothy J. Cheeseright, and Mark D. Mackey (Cresset BioMolecular Discovery), Peptide to non-peptide: A real breakthrough in virtual screening
Nitin Rathore and and Prof. Juan J. de Pablo (University of Wisconsin-Madison), Monte Carlo simulation of proteins through a random walk in energy space
Christopher E. Keefe
Meir Glick and Amiram Goldblum (Hebrew University of Jerusalem), A novel stochastic algorithm for structure predictions in proteins and for biomolecular interactions