MétaCan
Menu
Back to cohort
Record W2977555651

Ab Initio Molecular Vibrations Enable Reliable Exciton Dynamics Simulations

2017· dissertation· en· W2977555651 on OpenAlexfundno aff
Samuel M. Blau

Bibliographic record

VenueDigital Access to Scholarship at Harvard (DASH) (Harvard University) · 2017
Typedissertation
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsnot available
FundersBasic Energy SciencesOffice of ScienceCanadian Institute for Advanced ResearchJohn Templeton FoundationU.S. Department of Energy
KeywordsExcitonAb initioMolecular dynamicsVibrationDynamics (music)PhysicsAb initio quantum chemistry methodsStatistical physicsComputational chemistryChemical physicsMolecular physicsChemistryQuantum mechanicsMoleculeAcoustics
DOInot available

Abstract

fetched live from OpenAlex

In 2007, Engel’s proposal of long-lived coherence in photosynthesis precipitated substantial efforts to understand the role of quantum effects in biology. While much progress has been made in the last decade, the timescale, type, and functional importance of coherence coupled to thermal vibrations remains poorly understood.\nIn this dissertation, I simulate and disentangle excitation dynamics in the presence of complex vibrational environments for a light-harvesting protein and a synthetic dimer, both of which are controversial. I develop new techniques and leverage substantial computational resources to employ accurate ab initio methods that were previously considered prohibitively expensive.\nI examine phycobiliprotein PC645, a light-harvesting complex found in cryptophyte algae and, contrary to previous literature, I show that the protein’s key function proceeds via an incoherent mechanism. For the first time, I extract spectral densities from ab initio molecular dynamics (AIMD) combined with density functional theory excited state calculations. I obtain the first-ever quantitative reproduction of experimental linear spectra from first principles for a pigment-protein complex and find that stronger than expected environmental vibrations control the pathways of excitation transport. I generalize my findings using a model vibronic dimer, defining regimes of vibronic transport and demonstrating that biological systems are outside of the coherent regime.\nI then investigate three controversial synthetic fluorescein heterodimers that were engineered with the goal of providing a model system for understanding coherent energy transfer in multichromophoric systems. I extract Hamiltonians and spectral densities using AIMD and find electronic couplings an order of magnitude larger than previously thought. I calculate coherence dynamics and a trajectory of 2D spectra and demonstrate that electronic coherence persists for just 100-150 femtoseconds, after which long-lived vibrationally driven coherences persist for hundreds of femtoseconds. Thus, I resolve the controversy and confirm that while electronic coherence can be engineered in artificial molecular systems, it will not persist for a picosecond, as previously claimed.\nLeveraging ab initio methods, I have extracted mechanistic detail and clarified the presence and functional relevance of coherence in two controversial systems. However, significant experimental and computational challenges remain to enable the rational design of next-generation materials for light-harvesting and energy transport.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.232
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueDigital Access to Scholarship at Harvard (DASH) (Harvard University)Same topicMolecular Junctions and NanostructuresFrench-language works237,207