Hi Folks,
Tomorrow we are excited to host Leanne Chen from Stanford who will share
her work in a seminar titled: Electrochemical Energy Transformation
Processes - An Atomistic Perspective. I hope you can make it! Detailed
abstract attached.
Leanne is also meeting with some of you during the day and if inspired by
the abstract you wish to meet with her one on one, do let me know.
Happy Super Bowl Sunday!
Best,
Pri
Dear quanta,
A reminder that at 11am we will have a group meeting in 6-310. If you
went to QIP (or any other conference) think about which talk you saw that
you'd like to tell the group about.
aram
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Hi group,
Next Thursday (9/2) and Friday (10/2) we will have Dr. Christoph J. Brabec
visiting the group. His work covers many, many aspects of PV's: theoretical
(Sharber Model), experimental (Perovskites, organic pvs, etc.) and
upscaling and commercialization of PVs (robotics, mass production). So many
intersections with the group.
There are meetings slots & possibly lunch/dinner slots.
Let me know if you would like to meet him!
*About Dr. Brabec:*
Dr. Brabec is a researcher in photovoltaics and and printable
semiconductors (organic, inorganic, hybrid). He is also chair “Materials
for Electronics and Energy Technology (i-MEET)” at the the materials
science department of the Friedrich Alexander University Erlangen-Nürnberg
(FAU), scientific director of the Erlangen division of the Bavarian
research institute for renewable energy and board member of the Energy
Campus Nürnberg.
Hope all is well,
Ben
Hi all,
Tomorrow Danny will talk at group meeting, at 2:30 PM this week rather than
the usual 3:30. See below for his title and abstract.
All the best,
Ian
-----------------
Title: Screening of Flow Battery Electrolytes—Successes and Current
Challenges
Abstract:
Redox flow batteries (RFBs) are potentially a solution for the
intermittency problem that accompanies solar and wind energy. Until
recently, most flow battery research focused on vanadium flow batteries.
Unfortunately, vanadium is both too expensive and too rare to be a global
solution. The discovery of new electrolytes that are inexpensive, stable,
and soluble is critical to further development of this technology.
I will discuss the new RFB electrolytes that resulted from the
collaboration between the Aziz, Gordon, and Aspuru-Guzik groups. We
assisted in discovery of electrolytes for use in acidic and basic pH RFBs
with a high-throughput virtual screening approach. For these pH ranges, the
screening has mostly focused on quinone derivatives. In general, there are
more stable candidates for the low reduction potential electrolyte (the
negolyte) than for the high potential electrolyte (the posolyte). Theory
has helped determine the sources of these instabilities in quinones and has
identified candidates that are less susceptible to decomposition.
More recently, the screening effort has moved towards identifying
electrolytes for neutral pH RFBs. In this regime, the most promising
negolyte candidates are functionalized bipyridines and the most promising
posolyte candidates are metal coordination compounds, particularly
ferrocene derivatives. Screening of the former is a relatively
straightforward effort, building from the quinone methodology. In contrast,
metal coordination complexes present additional challenges due to their new
types of bonding and electronic structure.
Finally, I will discuss some other ways that theory has assisted the
experimentalists in this collaboration.
For those students doing chemistry (as opposed to more QI-related topics)
this is a good opportunity. If interested in attending, let me know via
Slack. I may be able to send 1-2 of you.
Alan
Alán Aspuru-Guzik | Professor of Chemistry and Chemical Biology
Harvard University | 12 Oxford Street, Room M138 | Cambridge, MA 02138
(617)-384-8188 | http://aspuru.chem.harvard.edu | http://about.me/aspuru
Hi Everyone,
Please see below for information from Victor about Prof. Mark Tuckerman's
visit to Harvard on Thursday, Feb. 2.
TL;DR:
- Prof. Tuckerman's theochem seminar will be 4:15p - 6:15p tomorrow at MIT
4-237 (new room)
- Prof. Tuckerman is available to talk to Aspuru-Guzik group members on
Thurs. Feb. 2nd from 11:30 - 12:15p in the Division room (please come!)
Best,
Jennifer
——
Hello,
Prof. Mark Tuckerman of NYU is visiting Harvard University on Thursday Feb
2. I have arranged a time for a meeting between the Aspuru-Guzik group and
Prof. Tuckerman between 11:30 and 12:15 in the Division room. I will make a
lunch reservation for ~12:30, so there is some margin there after 12:15.
Thus far, from the Aspuru-Guzik group, I have Nicolas and Jhonathan
confirmed for lunch and Jennifer for dinner.
Additionally, Prof. Tuckerman will be giving a seminar Wednesday 4 PM at
MIT in 4-237.
I’ve attached the full schedule for your information.
Best,
Victor
<2017-01-23__theochem_tuckerman_thu_feb2_schedule.docx>
*ABSTRACT: Exploration and learning of free energy landscapes of molecular
crystals and oligopeptides*
*Prof. Mark E. Tuckerman, New York University*
Theory, computation, and high-performance computers are playing an
increasingly important role in helping us understand, design, and
characterize a wide range of functional materials, chemical processes, and
biomolecular/biomimetic structures. The synergy of computation and
experiment is fueling a powerful approach to address some of the most
challenging scientific problems. In this talk, I will describe the efforts
we are making in my group to develop new computational methodologies that
address specific challenges in free energy exploration and generation. In
particular, I will describe our recent development of enhanced free energy
based methodologies for predicting structure and polymorphism in molecular
crystals and for determining conformational equilibria of oligopeptides.
The strategies we are pursuing include heterogeneous multiscale modeling
techniques, which allow “landmark” locations (minima and saddles) on a
high-dimensional free energy surface to be mapped out, and
temperature-accelerated methods, which allow relative free energies of the
landmarks to be generated efficiently and reliably. I will then discuss new
schemes for using machine learning techniques to represent and perform
computations using multidimensional free energy surfaces and navigate
chemical compound space in an effort to discover new compounds.