--
********************************************
Semion K. Saikin, PhD
Department of Chemistry and Chemical Biology
Harvard University
12 Oxford Street, Cambridge, MA 02138
email: saykin(a)fas.harvard.edu
phone: (619)212-6649
********************************************
Dear Group,
Here is a friendly reminder that Alex Eisfeld is giving a talk tomorrow at
4pm in the Division room
********************************************************************************************************
OPTICAL AND TRANSPORT PROPERTIES OF MOLECULAR AGGREGATES (what else)
The transition dipole-dipole interaction between closely spaced
chromophores leads to delocalized excitonic states which often results in
drastic changes in the optical properties, exemplified for example by the
narrow red-shifted J-band of certain organic dye molecules. This
interaction is also responsible for the transfer of electronic excitation
between the chromophores. The optical and transfer properties depend not
only on the arrangement of the chromophores within the aggregate, but also
crucially on the interaction of the electronic excitation with nuclear
degrees of freedom and the charge distribution of the environment.
In this talk I will discuss an quantum open-system approach to model these
coupling to nuclear and environmental degrees of freedom.
To solve the open system dynamics we use the non-Markovian Quantum State
Diffusion approach.
I will present a new, numerically exact and efficient solution of the
resulting stochastic Schrödinger equations.
Finally, I will discuss how we calculate non-adiabatic excitation
transport and optical spectra.
*********************************************************************************************************
P.S. yes it is 4pm. My previous email was incorrect.
thank you,
Semion
--
********************************************
Semion K. Saikin, PhD
Department of Chemistry and Chemical Biology
Harvard University
12 Oxford Street, Cambridge, MA 02138
email: saykin(a)fas.harvard.edu
phone: (619)212-6649
********************************************
FYI
---------------------------- Original Message ----------------------------
Subject: Assistant Professor, University of Illinois at Chicago/Argonne
National Laboratory
From: "Melissa Mattingly" <mamattin(a)uic.edu>
Date: Tue, November 19, 2013 6:28 pm
To: undisclosed-recipients:;
--------------------------------------------------------------------------
We would appreciate if you could bring this advertisement to the attention
of any prospective candidates.
The University of Illinois at Chicago (UIC) and Argonne National
Lab (ANL) invite applicants for a position in computational condensed
matter and materials physics with emphasis on energy and nanoscience.
This is an Assistant Professor position at UIC with an associated
appointment at ANL, and we are envisioning individuals who will build a
world class program that provides synergistic coupling between the two
institutions. This is a tenure-track Assistant Professor level
position; options for accelerated tenure consideration exist for
outstanding candidates. The successful candidate must have a Ph.D. in a
relevant area and postdoctoral experience. Applications, which must
include a CV, a statement of research interests and the names of at
least 3 references, must be completed by December 20, 2013. *To apply,
go to
https://jobs.uic.edu/job-board/job-details?jobID=35698&job=assistant-profes…
UIC is a Research I public university in the heart of Chicago and ANL is
a leading national laboratory near Chicago. A more complete description
of our programs can be found at www.msd.anl.gov <http://www.msd.anl.gov>
and www.phy.uic.edu <http://www.phy.uic.edu>.
UIC is the largest university in the Chicago area with 27,000 students,
15 colleges, including the nation's largest medical school, and one of
the nation's most diverse student bodies. The University of Illinois is
an Affirmative Action/Equal Opportunity Employer. For
additional information, please refer to UIC's Home Page at www.uic.edu
<http://www.uic.edu>.
ANL is a multi-program laboratory managed by UChicago Argonne, LLC for
the U.S. Department of Energy's Office of Science. ANL is an equal
opportunity employer and values diversity in their workforce. Argonne's
site is located about 25 miles southwest of Chicago on a beautiful 1500
acre campus. For additional information, please refer to Argonne's Home
Page at www.anl.gov <http://www.anl.gov>.
Suzanne G.E. te Velthuis, Christoph Grein, Ollie Heinonen, Ivar Martin,
Dirk Morr, Mark Schlossman
Date: Friday, November 22, 2013
Location: Maxwell-Dworkin G115, 33 Oxford Street, Cambridge, MA 02138
Speaker: Hugo Larochelle, Assistant Professor at the Université de Sherbrooke
Time: Informal lunch with speaker, 12:30pm. Talk, 1:00pm
Title: Deep Learning for Distribution Estimation
Abstract:
Deep learning methods attempt to learn a deep and distributed representation of data directly from its low-level representation. The motivating argument is that high-dimensional data in AI-related domains (speech, computer vision, natural language) can take a more meaningful representation as a decomposition into several layers of abstractions, decomposing its different factors of variation. Deep learning methods thus try to discover and learn this representation directly from data.
In this talk, I will first discuss the basic concepts and methods behind deep learning, reviewing in particular the impressive advancements to the state-of-the-art it has recently permitted in speech recognition and visual object recognition. I will then present my recent research on using neural networks for the task of distribution/density estimation, a fundamental problem in machine learning. Specifically, I will discuss the neural autoregressive distribution estimator (NADE), a state-of-the-art estimator of the probability distribution of data. I will also describe a deep version of NADE, which again illustrates the statistical modelling power of deep models.
Speaker bio:
Hugo Larochelle is Assistant Professor at the Université de Sherbrooke (UdeS). Before joining the Computer Science department of UdeS in 2011, he spent two years in the machine learning group at University of Toronto, as a postdoctoral fellow under the supervision of Geoffrey Hinton. He obtained his Ph.D. at Université de Montréal, under the supervision of Yoshua Bengio. He is the recipient of two Google Faculty Awards, acts as associate editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and is a member of the editorial board of the Journal of Artificial Intelligence Research (JAIR).
Please visit http://iacs.seas.harvard.edu/events to subscribe to our Google calendar, manage your subscription to this mailing list, or access video and audio recordings of previous seminars.
_______________________________________________
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Hi Quanta
We will meet tomorrow at 11:00 in our usual spot, 6-310. Mohammad Bavarian will tell us about his recent work with Peter Shor. At 1:30 we have a talk by Max Tegmark. See you then.
Eddie
:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
Edward Farhi
Cecil and Ida Green Professor of Physics
Director
Center for Theoretical Physics
Massachusetts Institute of Technology
6-300
Cambridge MA 02139
617 253 4871
:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
_______________________________________________
qip mailing list
qip(a)mit.edu
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Please post and forward to your group(s).
_________________________________
Center for Excitonics Seminar Series<http://www.rle.mit.edu/excitonics/events.htm>
Thursday, Nov 21, 2013
3:00 - 4:00 PM
RLE Haus Room: 36-428
Programming Matter on Nanoscale
Oleg Gang, Center for Functional Nanomaterials, Brookhaven National Laboratory
Abstract: In the last decade nanoscale objects emerged as a novel type of matter with unique functional properties and a plethora of prospective applications. Although a broad range of nano-synthesis methods has been developed, our abilities to organize these components in arbitrarily designed architectures in space and time are still quite limited. In this regard, an incorporation of biomolecules into a nano-object design provides a unique opportunity to establish highly selective and reversible interactions between components of nano-systems. Such bio-encoding can provide a syntax of inter-particle interactions. Consequently, programming of complex and dynamically tunable systems via self-assembly becomes conceptually feasible: biomolecules act as site-specific scaffolds, smart assembly guides and reconfigurable structural elements. I will discuss our advances in addressing this problem using the DNA platform, in which a high degree of addressability of nucleic acids is used to direct the formation of structures from nanoscale synthetic components. Our work explores the leading parameters and principles of programmable organization of inorganic nano-components into well-defined three-dimensional superlattices, two-dimensional membranes and finite-sized clusters. Our progress on the assembly of structures with designed lattice symmetries and clusters with predetermined architectures will be discussed. The realizations of switchable and tunable systems, as well as the relevance of these approaches to optical applications will be also demonstrated. Research is supported by the U.S. DOE Office of Science and Office of Basic Energy Sciences under contract No. DE-AC-02-98CH10886.
Bio Oleg Gang received his M.Sc. in 1994 and his Ph.D. in 2000, both from Bar-Ilan University, Israel. He was a Postdoctoral Rothschild Fellow at Harvard University from 2000 - 2002 and a Postdoctoral Goldhaber Fellow at Brookhaven National Laboratory (BNL) from 2002-2004. In 2004, he worked as Assistant Scientist at the Center for Functional Nanomaterials (CFN) at BNL, and in 2006 he became an Associate Scientist at CFN. He currently is Leader for Soft Matter and Bio-Nanomaterials Theme in CFN and is Adjunct Professor of Chemistry at SUNY, Stony Brook, NY. His research focuses on assembly of clusters and extended arrays (2D and 3D) from nanoscale components of multiple types driven by DNA recognition, chain effects and geometrical factors. He and his team's work explores how bioencoding of nanoparticle can guide the formation of well-defined structures, how the morphology of those self-organized structures can be dynamically regulated, and what factors govern system's phase behavior.
Light Refreshments will be served
The Center for Excitonics is an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science and Office of Basic Energy Sciences
Hi everybody,
Prof. Fred Manby (http://www.chm.bris.ac.uk/pt/manby/ ) from the University
of Bristol (UK) will be visiting the Boston area to give a talk as part of
the shared Harvard/MIT/BU Greater Boston Theoretical Chemistry Seminar
series. The title of his presentation is "Electron correlation in density
functional and coupled cluster theory" (please find his abstract below).
Prof. Manby will be visiting the Harvard campus on Tuesday, December 3 and
we will have a group slot sometimes that day (more details later). As
always, you are strongly encouraged to show up for the group slot and the
talk.
The seminar will be on Wednesday, December 4, 4:00pm at MIT, building 4-163.
Best,
Johannes
-----------------------------------------------------------
Prof. Fred Manby (University of Bristol): "Electron correlation in density
functional and coupled cluster theory"
http://www.chm.bris.ac.uk/pt/manby/
Wednesday, December 4, 4-6pm
MIT Building 4, Room 163
Abstract:
Electron correlation is treated very differently in density functional
theory and in wavefunction-based methods like coupled-cluster theory. Here I
will show that there are some interesting points of connection, illustrated
first through a new kind of correlation functional derived from many-body
theory using the Unsöld approximation; and second through an intriguing
modification of coupled-cluster theory that probes one of the most
dogmatically accepted assumptions of electronic structure theory: that one
should never contemplate breaking the Pauli principle.
Greater Boston Theoretical Chemistry Seminar
-----------------------------------------------------------
Dr. Johannes Hachmann
Research Associate
Harvard University
Department of Chemistry and Chemical Biology
12 Oxford St, Rm M104A
Cambridge, MA 02138
-----------------------------------------------------------
Starting 01/2014:
Assistant Professor
University at Buffalo
The State University of New York
Department of Chemical and Biological Engineering
Center of Excellence in Materials Informatics
Furnas Hall
Buffalo, NY 14260
http://www.cbe.buffalo.edu/people/full_time/j_hachmann.php
-----------------------------------------------------------
Please post and forward to your group(s).
_________________________________
Center for Excitonics Seminar Series<http://www.rle.mit.edu/excitonics/events.htm>
Thursday, Nov 21, 2013
3:00 - 4:00 PM
RLE Haus Room: 36-428
Programming Matter on Nanoscale
Oleg Gang, Center for Functional Nanomaterials, Brookhaven National Laboratory
Abstract: In the last decade nanoscale objects emerged as a novel type of matter with unique functional properties and a plethora of prospective applications. Although a broad range of nano-synthesis methods has been developed, our abilities to organize these components in arbitrarily designed architectures in space and time are still quite limited. In this regard, an incorporation of biomolecules into a nano-object design provides a unique opportunity to establish highly selective and reversible interactions between components of nano-systems. Such bio-encoding can provide a syntax of inter-particle interactions. Consequently, programming of complex and dynamically tunable systems via self-assembly becomes conceptually feasible: biomolecules act as site-specific scaffolds, smart assembly guides and reconfigurable structural elements. I will discuss our advances in addressing this problem using the DNA platform, in which a high degree of addressability of nucleic acids is used to direct the formation of structures from nanoscale synthetic components. Our work explores the leading parameters and principles of programmable organization of inorganic nano-components into well-defined three-dimensional superlattices, two-dimensional membranes and finite-sized clusters. Our progress on the assembly of structures with designed lattice symmetries and clusters with predetermined architectures will be discussed. The realizations of switchable and tunable systems, as well as the relevance of these approaches to optical applications will be also demonstrated. Research is supported by the U.S. DOE Office of Science and Office of Basic Energy Sciences under contract No. DE-AC-02-98CH10886.
Bio Oleg Gang received his M.Sc. in 1994 and his Ph.D. in 2000, both from Bar-Ilan University, Israel. He was a Postdoctoral Rothschild Fellow at Harvard University from 2000 - 2002 and a Postdoctoral Goldhaber Fellow at Brookhaven National Laboratory (BNL) from 2002-2004. In 2004, he worked as Assistant Scientist at the Center for Functional Nanomaterials (CFN) at BNL, and in 2006 he became an Associate Scientist at CFN. He currently is Leader for Soft Matter and Bio-Nanomaterials Theme in CFN and is Adjunct Professor of Chemistry at SUNY, Stony Brook, NY. His research focuses on assembly of clusters and extended arrays (2D and 3D) from nanoscale components of multiple types driven by DNA recognition, chain effects and geometrical factors. He and his team's work explores how bioencoding of nanoparticle can guide the formation of well-defined structures, how the morphology of those self-organized structures can be dynamically regulated, and what factors govern system's phase behavior.
Light Refreshments will be served
The Center for Excitonics is an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science and Office of Basic Energy Sciences
Hi Everyone,
This Thursday at 2:30pm in the Division Room, Xavier will be presenting his
work on compressed sensing. An abstract and title for Xavier's talk is
included below. Immediately following this group meeting we plan to have
some cake to celebrate Sule who will be leaving the group soon to start a
professorship in Ankara, Turkey.
=================================
CSI: Compressed Sensing Investigation
=================================
Compressed sensing (or compressive sampling) is a method originally developed
by signal analysis community to minimize the data required to reconstruct a
signal, based on the ideas of incoherent sampling and sparse optimization.
In this talk I will discuss the current efforts in the Aspuru-Guzik group
to apply compressed sensing and related techniques to computational
chemistry. The objective is to show you why I think compressed sensing has
a great potential for computational science. The talk will start with a
brief introduction of the compressed sensing, followed by a discussion of
the applications to obtain frequency resolved information from real-time
simulation, where compressed sensing and super-resolution methods have
shown to outperform the standard Fourier transform methods. Next I will
discuss the effort to integrate compressed sensing at the core of computational
simulation methods to maximize the amount of information that can be
obtained from each computation. Our first application is to accelerate the
calculation of costly matrices, that are common in electronic structure,
for example the Hessian required for the calculation of molecular
vibrational modes.
--
Ryan Babbush | PhD Student in Physics
(949) 331-3943 | babbush(a)fas.harvard.edu
Harvard University | Aspuru-Guzik Group
12 Oxford Street | Cambridge, MA 02138
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Dear Group,
Alex Eisfeld is here. He is officially located in Siberia for these several
days, but I guess will stay somewhere on the first floor for the most of
the time. If you would like to talk to him find him yourself or email to
me. I'm not making any schedules but can help you with finding Alex :)
thank you,
Semion
--
********************************************
Semion K. Saikin, PhD
Department of Chemistry and Chemical Biology
Harvard University
12 Oxford Street, Cambridge, MA 02138
email: saykin(a)fas.harvard.edu
phone: (619)212-6649
********************************************