Precise Large-Scale Chemical Transformations on Surfaces: Deep Learning Meets Scanning Probe Microscopy with Interpretability

Autooss Video of Autooss monitoring the STM Image dataset for four image classification models Dataset for Model_target Dataset for Model_ind Dataset for Model_diss Dataset for Model_triple optimized neural network parameters (.pth) Theoretical calculations (DFT and BOSS) Reaction trajectories of three reactions (first Br removal, second Br removal and two Br removal concurrently) Density of states for ZnBr2Me4DPP Orbitals Charge density difference (ZnBr2Me4DPP, ZnBrMe4DPP and Me4DPP on Au(111) BOSS for phenyl group andm methyl group BOSS and DFT for configurations of ZnBr2Me4DPP and STM simulations Experimental characterization 1H-NMR spectrum of H2Br2Me4DPP in CDCl3 13C-NMR spectrum of H2Br2Me4DPP in CDCl3 MALDI-TOF mass spectrum of H2Br2Me4DPP. UV/vis spectrum of H2Br2Me4DPP in CHCl3 (conc. = 10 µM) 1H-NMR spectrum of ZnBr2Me4DPP in CDCl3 13C-NMR spectrum of ZnBr2Me4DPP in CDCl3 MALDI-TOF mass spectrum of ZnBr2Me4DPP UV/vis spectrum of ZnBr2Me4DPP in CHCl3 (conc. = 10 µM)

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-14
DOI
https://doi.org/10.5281/zenodo.13761822
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Precise Large-Scale Chemical Transformations on Surfaces: Deep Learning Meets Scanning Probe Microscopy with Interpretability

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Materials Science
article

Precise Large-Scale Chemical Transformations on Surfaces: Deep Learning Meets Scanning Probe Microscopy with Interpretability

article en

Abstract

Autooss Video of Autooss monitoring the STM Image dataset for four image classification models Dataset for Model_target Dataset for Model_ind Dataset for Model_diss Dataset for Model_triple optimized neural network parameters (.pth) Theoretical calculations (DFT and BOSS) Reaction trajectories of three reactions (first Br removal, second Br removal and two Br removal concurrently) Density of states for ZnBr2Me4DPP Orbitals Charge density difference (ZnBr2Me4DPP, ZnBrMe4DPP and Me4DPP on Au(111) BOSS for phenyl group andm methyl group BOSS and DFT for configurations of ZnBr2Me4DPP and STM simulations Experimental characterization 1H-NMR spectrum of H2Br2Me4DPP in CDCl3 13C-NMR spectrum of H2Br2Me4DPP in CDCl3 MALDI-TOF mass spectrum of H2Br2Me4DPP. UV/vis spectrum of H2Br2Me4DPP in CHCl3 (conc. = 10 µM) 1H-NMR spectrum of ZnBr2Me4DPP in CDCl3 13C-NMR spectrum of ZnBr2Me4DPP in CDCl3 MALDI-TOF mass spectrum of ZnBr2Me4DPP UV/vis spectrum of ZnBr2Me4DPP in CHCl3 (conc. = 10 µM)

Zenodo (CERN European Organization for Nuclear Research)
Universidad Autónoma de Madrid (ES), Swiss Federal Laboratories for Materials Science and Technology (CH), Aalto University (FI)
Openalex Percentile: Top 77%
Machine Learning in Materials Science
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.