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Thank you for posting! Amazing lecture! 👏

Would it be possible to share the slides? Is there any repo from which it can be downloaded?

Amazing talk!

Thank you for such an inspiring talk!

Thanks for good VDO.

Thank you for sharing such an informative lecture. It has been genuinely helpful.

Why the oxidative current also increases with the addition of oxalate (C2O4)2-? That should not increase because according to the explanation, no Ru(+2) is available for the oxidation back to Ru(+3).

It was a great talk. thanks for recording and uploading it here.

He was 98 when he taught this. Holy shit he might literally be the healthiest Nobel laureate ever

00:00 - Introduction 02:23 - Catalysis at the atomic scale 11:17 - Oxide surfaces and films 16:38 - Active sites at metal-oxide interfaces 29:07 - CO2 activation on Au/MgO 33:45 - Activation of CO2 through Doping 36:59 - Adsorption and reactions in a confined space 39:26 - Confinement between SiO2 film and Ru(0001) 54:27 - Action spectroscopy using messengers 57:59 - The case study of V2O5 (0001) / Au (111) 1:02:32 - Atomic arrangement at the Fe3O4(111) surface Q&A: 1:08:00 - Q1: The depth of the near-surface layer that determines adsorption 1:09:43 - Q2: Stability of SiO2 film and its properties 1:12:02 - Q3: Structure of the vitreous silica phase 1:14:20 - Q4: Au growth on Mo-doped CaO 1:20:44 - Q5: Physical effect of the limited space at the atomic scale 1:23:41 - Q6: Adsorption processes from Angle-Resolved Photoemission (ARPES) 1:27:11 - Q7: What can and cannot be predicted by theory (DFT) 1:28:31 - Q8: Poorly defined catalytic surfaces 1:31:27 - Q9: Advice to early stage researchers in catalysis 1:34:01 - Q10: What can electrochemists learn from the field of heterogeneous catalysis?

00:00 - Introduction 02:28 - Career path and how ML came into play 04:20 - Opportunities in Materials and ML 16:05 - Instrumentation, Cloud Computing and User Facilities 19:10 - Workflow design and implementation 29:33 - Machine Learning for physical sciences 35:24 - Machine Learning in industry 39:49 - Data analysis using Machine Learning (in microscopy) 47:20 - Automated experiments for aspects that we know in advance 55:49 - Automated experiments via Bayesian Optimization 1:07:31 - Hypothesis Active Learning 1:14:23 - Concluding remarks and the future of the field Q&A: 1:20:33 - Q1: Advice for newcomers 1:28:40 - Q2: Commercialization of AI-controlled instruments 1:30:18 - Q3: Machine learning for exploring complex phenomena 1:33:40 - Q4: Accidental discoveries 1:39:03 - Q5: Machine learning with small datasets (e.g. at synchrotrons) 1:44:58 - Q6: AI-assisted discovery at a scale: synthesis, characterization, etc. 1:49:55 - Q7: Discoveries by learning on large-scale datasets 1:14:49 - Q8: Is there a need for Department of Machine Learning and AI?

Fantastic lecture. Even more than the lecture I enjoyed the question answer part. Thanks for sharing!

Wonderful talk! Can’t appreciate enough how Prof. Kalinin explains complex concepts in a very simple and understandable manner.

I enjoy listening to those giants, thanks so much for sharing these videos, absolutely fabulous.

00:00 - Introduction 02:00 - Beginning of the talk 04:20 - Simulation of solid-liquid interfaces 13:08 - Computational Hydrogen Electrode (CHE) 17:31 - Implicit solvation models 22:38 - Modified Poisson-Boltzmann approach 37:42 - Fully grand-canonical simulations of double layers 42:32 - Electrosorption of H on Pt(111) and non-Nerstian shifts 44:56 - Cyclic voltammetry simulation for Ag(111) in halide solutions 46:12 - Potential-dependent adsorption energies for CO / Pt(111) 49:03 - Field effects for stepped surfaces 52:36 - Chemical steps in ORR on Au(111) 53:44 - Vacuum vs implicit solvent vs AIMD for ORR 57:10 - Conclusions Q&A: 59:08 - Q1: Non-Nerstian shift for H/Pt(111) 1:00:39 - Q2: Lateral interaction between adsorbates 1:04:35 - Q3: Poisson-Boltzmann equation in DFT 1:05:57 - Q4: Charge change during simulation 1:07:17 - Q5: Definition of SHE with implicit solvation 1:08:23 - Q6: How the surface is charged in AIMD 1:11:07 - Q7: Hybrid implicit+explicit simulations and machine learning 1:14:49 - Q8: Constant-potential AIMD and potential thermostat 1:16:20 - Q9: Semi-implicit models and RISM 1:19:19 - Q10: Jellium model and electron spillover 1:21:44 - Q11: Implicit solvent modeling of concentrated electrolytes 1:25:53 - Q12: Charge transfer from adsorbates in the double layer

Hello. Is there a possibility to download the presentation (e.g., as pdf)? I find it v useful to add notes to the slides, but taking snapshots for every interesting slide is not quite productive.

00:00 - Introduction 02:03 - Beginning of the talk 03:31 - Materials Acceleration Platforms 06:05 - Organic LASER with self-driving labs 15:02 - Discovery of redox flow battery molecules 22:10 - Workflow and ML in electrochemistry 28:51 - Hardware Automation and Miniaturization 42:25 - Challenges and Outlook Q&A: 45:26 - Comment: Really cheap potentiostats and galvanostats 46:45 - Q1: Automated screening versus Machine-Learning-driven automation 52:03 - Q2: Getting new knowledge from the ML-driven automated experiments 58:40 - Q3: Solid vs liquid phase exploration 1:00:56 - Q4: Discovery of solids and materials 1:04:27 - Q5: Machine learning for polymers 1:06:57 - Q6: Role of students and postdocs 1:10:45 - Q7: Accidental discoveries in automated experiments 1:15:18 - Q8: Digging through others’ data (forensic analysis)

Greta discussion! Thanks for sharing.

00:00 - Introduction 02:39 - Beginning of the talk 06:23 - Potential Energy Surface: Accuracy vs Sampling 33:34 - What can we learn from biocatalysis? 39:19 - Importance of electrostatics in enzymes 46:33 - Coupling between electric fields and conformational fluctuations 50:33 - Design of synthetic enzymes 57:34 - Chemical reactivity in nanocages 1:03:56 - Chemical reactivity in microdroplets 1:13:03 - H2O2 formation in microdroplets (H2O2 debate) 1:17:17 - Statistical fluctuations at electrochemical interfaces 1:19:12 - CO adsorption on metals 1:30:59 - Importance of Quantum Mechanics + Stat. Mechanics 1:31:35 - Conclusions Q&A: 1:34:43 - Q1: Major improvements for large-scale ab initio modeling? 1:38:59 - Q2: Contribution of electric fields from different parts of enzymes 1:41:28 - Q3: Desolvation of a substrate before entering an enzyme 1:43:17 - Q4: Ion transfer reactions to/from the electrode surface 1:46:32 - Q5: Dissolved oxygen in microdroplets for H2O2

I loved it! thanks a lot Victor!

First part: 00:00 - Introduction 02:02 - Beginning of the talk 03:50 - Correlated Wavefunction Theory and DFT 16:38 - Accomplishments and Challenges of DFT 13:27 - Hohenberg-Kohn theorem 27:14 - The Kohn-Sham approach 40:46 - Summary for the introductory part Q&A part 1: 42:43 - Q1: Ways to solve the many-body problem other than DFT? 44:54 - Q2: Kohn-Sham one-electron orbitals 46:30 - Q3: Predicting ground states through machine learning from DFT Second part: 52:30 - More predictive density functions 54:49 - Construction of DFT approximations 1:00:45 - SCAN: Construction, successes and failures 1:14:59 - Symmetry breaking and strong correlations in DFT 1:28:57 - Spin symmetry breaking in singlet C2 molecule 1:37:11 - Conclusions (2nd) Q&A part 2: 1:39:08 - Q4: Ab initio methods or DFT? 1:41:06 - Q5: Singlet C2 1:44:17 - Q6: Exact functionals 1:46:40 - Q7: Poles in TD-DFT 1:50:29 - Q8: Broken symmetry 1:51:24 - Q9: Double hybrids 1:54:26 - Q10: Get better metallic properties with SCAN 1:56:03 - Q11: Hydrogen bonds on a metal surface 1:58:32 - Q12: Superconductivity with DFT 2:00:39 - Q13: How DFT accuracy should be assessed? 2:02:22 - Q14: How should we compare DFT with experiments? 2:05:13 - Q15: What DFT accuracy are we pursuing?

Sorry but i think the explanation for OCV for batteries is not correct. The OCV means the circuit is OPEN! - so no electrons flow. Therefore the electrochemical of Li-ion are not the same in anode in cathode. Also note that the paper of Goodenough "The Li-Ion Rechargeable Battery: A Perspective" write that the OCV is connected to electrochem. Potentials (the formula they show is wrong). A better view on the OCV is given by Transatti (absolute Potential), which is equivalent to Born-cycle: The gibbs energy can be written as the sum of the cohesive/lattice energy of the ion, the Ionisation energy/~WF and the hydration/reorganization energy. The reorganization energy of the lithium-ion in the electrolyte is the same on Cathode and Anode so its unimportant. IF we sum the lattice energy difference of Li-Ion in Cathode and Anode and the WF difference of Cathode and Anode we get the OCV. It is worth to mention, that the WF of the cathode is changing with charging as well as the lattice energy of lithium with deintercalation. Thus the OCV of the Li-Ion is changing. (Also see K. Schmidt-Rohr, ‘How Batteries Store and Release Energy: Explaining Basic Electrochemistry’,)

hope in the future this theory is also connected to battery materials.

Thanks for sharing! This was very helpful.

Awesome as always... Would love to see a video,that takes a bit more step like you always do by explaining how it relates to phone batteries and EV .... Thanks has always... Awesome discussion all the way....

Are there any plans out there for one to make their own electrochemical impedance spectrometer? If so I hope it's just using a regular PIC and not a raspberry pi

Wow! Loved the talk and explanation. Thank you for the talk

00:00 - Introduction 02:42 - Beginning of the talk 06:28 - Pourbaix diagrams 09:00 - Active, passive and transpassive regions in a CV 13:27 - Probing mechanisms for corrosion 13:53 - Cu(111) example 26:02 - Ordered, disordered and epitaxial passive oxides 38:52 - Dissolution of passive layers 42:19 - Alloys and crystallization of passive layers 45:53 - Localized corrosion and the role of electronic structure 51:26 - Inhibition of corrosion by organic molecules 1:16:18 - Modelling of corrosion inhibition 1:23:50 - Conclusions and references 1:25:57 - Q1: Importance of air-free environment in surface studies 1:27:04 - Q2: Corrosion inhibition in different pH 1:28:20 - Q3: Natural passive layers (at open-circuit potentials) 1:30:07 - Q4: Similarity to a solid electrolyte interphase (SEI) 1:32:22 - Q5: STM of SEI 1:34:14 - Q6: STM of adsorbates on polycrystalline surfaces 1:35:29 - Q7: STM of metal oxides 1:37:02 - Q8: Driving force for deprotonation 1:39:02 - Q9: Kinetics vs thermodynamics (and applicability of DFT) 1:41:56 - Q10: Corrosion and amorphization under OER potentials 1:45:07 - Q12: Driving force for atomic rearrangement of surfaces 1:46:51 - Q13: Role of [SO4]2- in sulfuric acid 1:48:37 - Q14: Electrochemical impedance spectroscopy in corrosion

To understand the transition from the crystalline oxide layer to the amorphous oxide layer, one can refer to the Point Defect Model (PDM). The PDM explains the mechanism of metal oxide layer formation, where the amorphous outer layer is formed by the dissolution of the inner barrier layer. In this process, metal ions eject from the inner layer and dissolve into the solution. These dissolved metal ions then precipitate on top of the inner layer due to the hydrolysis of metal ions in the solution, resulting in the formation of an amorphous structure

00:00 - Introduction 02:45 - Beginning of the talk 11:00 - Photo- and electro-chemical processes 13:53 - Complexity of many-component systems 18:10 - Atomistic structural models 22:46 - Validation of structural models 29:56: Q1: How often do people do validation? 31:48: Q2: Other ways to validate structural models? 32:35: Q3: Complexity of computational spectroscopy 35:00: Q4: Band alignment with water 36:34 - Computational spectroscopy 42:32 - Semiconductor-water interfaces 50:55 - Q5: Statistical significance of calculated values + charge dynamics 59:41 - Defective surfaces 1:02:48 - Charge transfer at photoelectrochemical interfaces 1:07:45 - Role of surface morphology 1:13:36 - Intermediate summary and open questions 1:16:16 - Q6: Implicit or explicit solvation models 1:19:17 - Q7: Slab size when modeling a surface with adsorption 1:21:10 - Electrified interfaces 1:27:03 - Conclusions and current challenges 1:35:03 - Q8: Machine learning for first-principles calculations 1:39:02 - Q9: Developing theoretical frameworks or performing calculations? 1:42:25 - Q10: Zeta-potential 1:45:05 - Q11: Conductivity of materials via non-equilibrium Green’s function

I am looking for a PhD opportunity in Single entity electrochemistry. I have experimental experience in SEE.

00:00 - Introduction 02:51 - Beginning of the talk 04:52 - Why single crystals are needed? 10:39 - Surface crystallography 16:25 - Stereographic projection for surfaces 37:06 - Preparation of metal single cry stals 50:22 - Understanding the voltammetry of platinum 55:15 - Charge displacement by CO adsorption 59:10 - Role of anions in Pt electrochemistry 1:05:57 - Voltammetry of stepped surfaces 1:13:24 - Potential of zero charge on Pt (PZC) 1:28:59 - Total charge vs free charge 1:32:40 - Entropy of the interface and laser temperature-jump technique 1:40:34 - Pt nanoparticles 1:43:55 - Future directions for single crystal electrochemistry Q&A: 1:48:10 - Q1: Electrochemical cleaning of single crystal surfaces 1:51:21 - Q2: Cleaning of the surface of nanoparticles 1:53:02 - Q3: Assembling nanoparticles on a working electrode 1:56:47 - Q4: Stability of stepped surfaces in different pH 2:00:01 - Q5: Single crystals in RDE 2:04:16 - Q6: Number of electrons per Pt atom as a reference 2:06:14 - Q7: Connecting entropy and H2O ordering at interfaces 2:09:59 - Q8: Electrochemical impedance spectroscopy 2:12:28 - Q9: Model electrodes for enzymes and bioelectrochemistry

great presentation

00:00 - Introduction 02:18 - Beginning of the talk 04:52 - AFM: history and basics 13:12 - Amplitude modulation AFM in liquids 18:30 - Resolution of AFM 28:39 - AFM in liquids 47:05 - Calibration of cantilevers 49:57 - Electrostatic forces during AFM in liquids 53:16 - Examples of atomic-resolution AFM 55:50 - High-speed AFM in liquids 1:01:45 - 3D-AFM of solid-liquid interfaces Q&A: 1:09:16 - Q1: Lateral domains of adsorbates 1:10:50 - Q2: Stability of the instrument for atomic imaging 1:12:02 - Q3: Surface perturbation by AFM during imaging 1:14:00 - Q4: Measurement of nanoparticles on a surface 1:16:22 - Q5: Bi-modal or AM-AFM for 3D maps 1:19:06 - Q6: In situ AFM during electrochemical reactions 1:23:30 - Q7: Role of convection induced by cantilever 1:26:29 - Q8: Observing molecules undergoing electrocatalysis 1:28:21 - Q9: Time scale of imaging and operando microscopy 1:34:37 - Q10: Functionalized tips in liquids 1:36:41 - Q11: Tip-induced chemical reactions in liquids 1:37:22 - Q12: Time scale of imaging and operando microscopy (# 2) 1:40:45 - Q13: Electrostatic effect from the double layer 1:46:22 - Q14: Importance of atomistic simulations for data interpretation 1:48:40 - Q15: Atomic-scale AFM vs STM imaging in liquids

00:00 - Introduction 02:20 - Beginning of the talk 03:57 - Diversity of bioelectrochemistry 07:05 - Biocatalysts on electrode surfaces 13:05 - Direct electron transfer to proteins 15:43 - Glucose oxidase 23:44 - Basics of mediated electron transfer 29:00 - Design variable for electrodes 30:37 - Electron Transfer Mechanisms: recap 31:04 - Mediated and direct bioelectrocatalysis 31:52 - Bioelectrocatalysis for fuel cells 36:35 - Cascade reactions 38:41 - Citric acid cycle 43:49 - N2 reduction to ammonia with nitrogenase 50:28 - Chiral amines with transaminase 54:19 - ATP-independent systems 1:01:19 - Product quantification for bioelectrocatalytic N2 reduction 1:04:00 - Direct electron transfer for microbial electrosynthesis 1:06:17 - Direct electron transfer to nitrogenase Q&A: 1:11:03 - Q1: Conductivity in the interior of enzymes 1:12:33 - Q2: The role of the double layer 1:13:41 - Q3: Oxygen reduction in the microbial electro synthesis 1:15:49 - Q4: Reaction stability during N2 reduction 1:18:15 - Q5: Second coordination sphere for catalysis 1:20:21 - Q6: Growth of cyanobacterium and intracellular DET 1:22:22 - Q7: Potential window of stability of enzymes 1:24:01 - Q8: Mimicking enzymes in inorganic materials 1:26:45 - Q9: Directed evolution of enzymes for electrochemistry 1:29:57 - Q10: Gap between neuroelectrochemistry and bioelectrochemistry 1:32:27 - Q11: Future of analytical electrochemistry of proteins

thank you so much

🥰🥰🥰🥰

Kramer... I have no idea what you're talking about but you sound great as you always did... Good to see you old friend... Jonathan W aka Captain

Thanks to Andrew Akbashev and all for having uploaded this great talk

First Part: 00:00 - Introduction 06:48 - Beginning of the talk 07:54 - X-ray spectroscopy of matter 13:35 - The concept of binding energy 18:24 - Z+1 approximation 23:59 - Binding energy in Koopman’s picture 26:11 - Transition state potential (Slater) 29:49 - Examples of chemical shifts 30:37 - XAS, XES and RIXS 44:48 - RIXS example: O2 molecule and others First Q&A: 55:05 - Q1: Role of the excitation energy in RIXS 1:01:20 - Q2: Molecule on a surface 1:06:35 - Q3: "Spectator and participator” terminology 1:10:28 - Q3b: Excitation energy tuning 1:12:31 - Q4: Detuning and core-hole clock spectroscopy Second Part: 1:15:50 - Liquid water and hydrogen bonding 1:29:01 - “Tetrahedral” liquids and XES of Si melts 1:34:02 - RIXS of water 1:36:17 - Potential energy surfaces for liquid H2O 1:39:28 - Importance of correct XAS normalization 1:46:20 - Correct interpretation of a HOMO peak split 1:51:01 - Liquid probing capabilities at XFEL and BESSY 1:53:58 - Summary Second Q&A: 2:04:00 - Q5: Diffraction vs spectroscopy for studies of liquids 2:07:04 - Q6: EELS and XRS 2:15:15 - Q7: Water radiolysis (damage by X-rays) 2:22:33 - Q8: Normalization of XAS and long-tail measurements 2:24:51 - Q9: Second coordination of water visible in XAS 2:27:27 - Q10: Solid-water interfaces and XAS 2:28:39 - Q11: The future of the RIXS field

Thank you for the video! Useful and inspiring.

First Part: 00:00 - Introduction 02:00 - Beginning of the talk 09:43 - Electroactive molecules in the brain/body 11:30 - Electrochemistry in living brains 27:45 - Quantitative probing of individual vesicles 34:42 - Intracellular Electrochemical Cytometry 40:00 - Mechanisms of VIEC First Q&A: 53:20 - Q1: Measurements of H2O2 inside the cell 53:46 - Q2: Electrical stimulation instead of chemical 57:42 - Q3: Combining fluorescence with electrochemistry 59:46 - Q4: Stimulation of neurons with nanoprobes 1:01:14 - Q5: The size of nanoprobes 1:03:12 - Q6: Electrochemical analysis of cells inside a TEM Second Part: 1:05:03 - Partical exocytotic release 1:14:35 - Drosophila as a model system 1:26:27 - Molecular dynamics simulations 1:23:30 - Exocytosis from beta cells 1:25:24 - Exocytosis from gut epithelium (BON) cells 1:26:41 - Nano-amperometry of intravesicular glutamate 1:31:46 - Dopamine storage probed by NanoSIMS 1:39:22 - Why is partial release important? 1:44:42 - Nanopipettes for local dosing of vesicles 1:49:10 - Dissecting nanometer vesicles 1:53:57 - Electrochemical analysis of stress granules 1:56:22 - Summary and conclusions Second Q&A: 1:57:53 - Q7: Electrode materials and grafted nanotips 2:00:06 - Q8: Other possible molecules to probe 2:00:53 - Q9: Electrode arrays instead of local probes 2:04:37 - Q10: Machine learning for exocytosis recognition 2:07:47 - Q11: Using nanoelectrodes for studying microbes 2:09:48 - Q12: Driving force for the vesicle adhesion to the surface 2:12:13 - Q13: Brain-computer interfaces 2:15:51 - Q14: In vivo monitoring of physiological parameters 2:17:31 - Q15: The future of the field

First Part: 00:00 - Introduction 03:02 - Beginning of the talk 10:41 - Incorrect double layer models 25:15 - Helmholtz capacity and Parsons&Zobel plot 28:45 - Role of weak adsorption 37:55 - Improvements of Gouy-Chapman theory and DFT 56:20 - Jellium model and capacity First Q&A: 1:04:01 - Q1: Image charge 1:06:10 - Q2: How PZC is related to open circuit potential 1:07:40 - Q3: Protons near the electrode 1:10:25 - Q4: Interaction between Pt and cations 1:16:08 - Q5: Concentrated electrolytes Second Part: 1:17:20 - DFT + hard spheres 1:23:00 - Integral equation techniques and RISM 1:26:27 - Molecular dynamics simulations 1:32:00 - Potential of mean force (pmf) 1:41:55 - Dynamics of the double layer 1:52:52 - Latest development in QM/MM 1:55:52 - Special topics: Nanoslits and Nanopores 1:58:05 - Special topics: Ionic Liquids 1:58:57 - Special topics: Liquid-liquid interfaces 2:01:22 - Conclusions and advice 2:06:46 - Literature Second Q&A: 2:08:48 - Q6: Proton tunneling 2:11:20 - Q7: Size of a water cluster used in calculations 2:12:17 - Q8: Protons at the metal surface 2:14:16 - Q9: Charges for the H+/graphene system 2:16:21 - Q10: O2RR: Inner- and out-sphere mechanisms 2:17:47 - Q11: Validity of local dielectric permittivity 2:20:58 - Q12: Sensitivity of PMF to force fields parametrization 2:22:41 - Q13: Semiconductor-electrolyte interfaces 2:24:48 - Q14: Explicit vs Implicit solvent model 2:27:38 - Q15: Charged intermediates at the surface 2:29:10 - Q16: What is missing from experimentalists for the theory?

𝕡𝐫ｏ𝕄ｏ𝔰𝓶

I have listened to most of the talks of this colloquium. I understand even the expert cannot know all the answers. But I think the professors should give brief and clear answers to the questions @Electrochemical Colloquium

First Part: 00:00 - Introduction 02:00 - Beginning of the talk 10:49 - Hydroxyls and surface acidity 16:36 - Probing surface hydroxyls First Q&A: 30:28 - Q1: Role of proton tunneling 33:05 - Q2: Different oxygens on one surface 35:32 - Q3: Accuracy of DFT for surface science 39:10 - Q4: What determines adsorption strength 42:15 - Q5: Interaction between adsorbates (Frumkin isotherm) Second Part: 45:43 - Important remarks about real surfaces and DFT 54:15 - Evolution of oxide surfaces in liquid water Second Q&A: 1:09:16 - Q6: Experimental challenges 1:12:18 - Q7: Reasons for choosing rutile surfaces 1:15:09 - Q8: Differences in proton affinity between gas and water 1:21:51 - Q9: Driving force for surface changes in H2O 1:27:00 - Q10: STM of amorphous surfaces 1:28:42 - Q11: pH calculation of H2O under CO2 1:29:44 - Q12: Surface polarity 1:33:25 - Q13: pKa of the entire surface 1:35:23 - Q14: Future of the field

Thank you! Such an interesting presentation!

I am only just starting with these lectures but I cannot thank you enough for organising these! I hope they continue long after the pandemic ends. Long live the Electrochemical Colloquium!

First Part: 00:16 - Introduction 01:30 - Beginning of the talk 04:30 - Frumkin correction and Slow Discharge 20:36 - Corrected Tafel plots 27:23 - Reduction of persulfate anions and Eu(II) oxidation 36:56 - Quantification of Frumkin correction First Q&A: 50:23 - Q1: Qualitative check of local electrostatics 54:10 - Q2: Reduction of anions at a negative electrode Second Part: 1:00:18 - Historical remarks on theory 1:05:20 - Corrected Marcus plots and activationless discharge 1:22:12 - Parameters that depend on electrode charge 1:24:12 - Reaction volume and reactant-electrode distance 1:41:49 - Concluding remarks Second Q&A: 1:45:47 - Q3: Comment by Prof. Rudolf Marcus 1:46:53 - Q4: Image charge effect 1:48:25 - Q5: Role of a well-defined surface 1:50:22 - Q6: Issues with existing analysis of Tafel plots 1:53:12 - Q7: Comments on double layer Extras: 1:56:07 - The portrait of A.N. Frumkin (Picasso style)

First Part: 00:00 - Introduction 01:35 - Beginning of the talk 13:02 - Origin of instabilities & oscillations 23:54 - N-type negative differential resistance (N-NDR) 28:47 - How oscillations appear 39:20 - Galvanostatic oscillations (HN-NDR) 44:32 - Mixed oscillations and chaos 52:18 - Chemical autocatalysis (S-NDR) and CO oxidation on Pt 1:02:00 - Overview of oscillating systems First Q&A 1:05:05 - Q1: Noisy system vs Chaotic system 1:08:29 - Q2: Galvanostatic/Potentiostatic oscillations 1:09:56 - Q3: Oscillations in Li-ion batteries 1:12:50 - Q4: Combining with Maxwell equations 1:15:03 - Q5: Relevance of neuron systems 1:18:19 - Q6: Facet dependence Second Part: 1:21:36 - Spatial patterns 1:30:27 - Global coupling 1:35:11 - Equivalent circuit of spatially extended electrode 1:41:45 - Patterns induced by Negative Global Coupling (HN-NDR) 1:44:39 - Galvanostatic control in the S-NDR system 1:50:28 - Summary Second Q&A: 1:52:06 - Q7: Open questions and future directions 1:58:08 - Q8: Extracting quantities from experimental data 2:02:30 - Q9: Variation of concentration 2:04:04 - Q10: Spatial oscillations from electrochemical data 2:06:21 - Q11: Frequency of oscillations