MSE Seminar: "When ions meet electrons --- Modeling the interfaces in Solid-State Batteries"
2021-03-18 10:45 - 11:45 (America/New_York)
With the rapid development of fast Li-ion conductors, the major bottleneck for all-solid-state Li-ion batteries lies at the high interfacial resistance and Li dendrite growth. These problems require a fundamental understanding of the interfaces, where charge transfer reactions occur and electrochemistry, physics, and solid mechanics are coupled. This talk will focus on the new mechanistic understanding obtained by the recently developed multi-scale modeling approaches.
One challenge for solid-state batteries is the high interfacial resistance, due to two main factors: physical contact and chemical effect. The chemical effect was captured by a density functional theory (DFT)-informed theoretical model, which predicts the potential map inside a solid-state battery and determines the potential drop, electrostatic dipole, and space-charge layer at the electrode/solid-electrolyte interface. This new physics insight unified the seemingly contradictory experimental observations and led to new device design rules to promote interfacial ion transport in future solid-state batteries. The physical contact was described by combining contact mechanics and the 1D Newman battery model. The model suggested how much pressure should be applied to recover the capacity drop due to contact area loss.
Another challenge for high energy density solid-state barriers using Li-metal electrodes is the soft Li dendrite growth inside the hard solid electrolytes. A DFT-informed phase-field method was developed and successfully explained the experimentally observed dendrite intergranular growth and revealed that the trapped electrons at grain boundaries and surfaces may be the main reason to reduce Li-ion and nucleate metallic Li. A new dendrite resistant criterion is therefore proposed.
These modeling advancements will be integrated into a new framework to guide the development of all-solid-state Li-ion batteries.

ESE Seminar: "Synthetic dimensions: harnessing light’s internal degrees of freedom for quantum, nonlinear and topological photonics"
2021-03-18 11:00 - 12:00 | Zoom – Email ESE for Link jbatter@seas.upenn.edu
Scaling up next-generation photonic systems in a resource-efficient manner is a ubiquitous challenge for quantum technologies such as quantum networks, quantum simulation and computation, and for classical technologies such as photonic neural networks, LiDAR and communications. From a fundamental perspective, high-dimensional lattices hold promise for realizing and manipulating exotic states of light and matter, complementing the recent surge in studying low-dimensional physics using 2D materials, quantum materials and cold atoms.
I will show how we can endow photons with “synthetic dimensions” to overcome these challenges of scalability, resource efficiency and dimensionality. The concept of synthetic dimensions replaces one or more spatial dimensions with intrinsic properties of photons such as frequency, spin or temporal modes. I will introduce a novel synthetic-dimension spectroscopy technique to directly read out band structures from a time-resolved transmission. Using this technique, we probed 2D quantum Hall physics in a single modulated cavity by simultaneously harnessing two synthetic dimensions of frequency and spin, thus elucidating how higher-dimensional physics can be implemented in simpler, experimentally feasible lower-dimensional structures. In such a cavity, neutral photons experience an artificial magnetic field, allowing us to observe a wide variety of condensed matter phenomena such as spin-orbit coupling, spin-momentum locking, chiral edge currents and a Meissner-to-vortex phase transition, completely in synthetic dimensions. Examples of the extreme tunability of synthetic-space photonic circuits to realize flexibly reprogrammable long-range complex coupling and reconfigurable lattice Hamiltonians will also be provided, in a manner that is unmatched in real-space architectures.
Quantum technologies not only require reprogrammable photonic circuits, but also need quantum sources to excite these circuits. In the second part of my talk, I will discuss the first nanophotonic quantum squeezed-light source, built by harnessing the ultralow-loss and strong nonlinearity of the silicon nitride microresonator platform. I will also explain how we generated broadband low-noise frequency combs on the same platform, and performed ultrafast real-time spectroscopy of molecules using these combs. The talk will conclude with an outlook for combining quantum and nonlinear optics with coherent synthetic-space circuits in high dimensions to enable scalable, reconfigurable nanophotonic systems for emerging applications.

ODEI Spotlight: Navigating Sizeism and Fatphobia in Academia
2021-03-18 14:00 - 15:00
In this session, we’ll learn how to identify, cope with, and combat sizeism and fatphobia in academic and professional settings. This session is for those interested in learning how to better navigate discussions surrounding body image, fatphobia, and diet culture in the classroom and beyond.
Learn more and register at: https://gsc.upenn.edu/events

ODEI Spotlight: PAACH Restorative Practice Circle for Penn Staff
2021-03-18 14:00 - 15:30
This event will be on Zoom.
Please click the link below to join the meeting:
https://upenn.zoom.us/j/92797952475

BE/Biochem/Biophys Seminar: "The Coming of Age of De Novo Protein Design" David Baker
2021-03-18 15:00 - 16:00
This seminar will be held virtually on Zoom (check email or contact ksas@seas.upenn.edu).
This seminar is jointly hosted by the Department of Bioengineering and the Department of Biochemistry & Biophysics.
Proteins mediate the critical processes of life and beautifully solve the challenges faced during the evolution of modern organisms. Our goal is to design a new generation of proteins that address current day problems not faced during evolution. In contrast to traditional protein engineering efforts, which have focused on modifying naturally occurring proteins, we design new proteins from scratch based on Anfinsen’s principle that proteins fold to their global free energy minimum. We compute amino acid sequences predicted to fold into proteins with new structures and functions, produce synthetic genes encoding these sequences, and characterize them experimentally. I will describe the de novo design of fluorescent proteins, membrane penetrating macrocycles, transmembrane protein channels, allosteric proteins that carry out logic operations, and self-assembling nanomaterials and polyhedra. I will also discuss the application of these methods to COVID-19 challenges.

CIS Seminar: "Bias and Representation in Sociotechnical Systems"
2021-03-18 15:00 - 16:00 | Zoom – Email CIS for link, cherylh@cis.upenn.edu
Algorithms play a central role in our lives today, mediating our access to civic engagement, social connections, employment opportunities, news media and more. While the sociotechnical systems deploying these algorithms—search engines, social networking sites, and others—have the potential to dramatically improve human life, they also run the risk of reproducing or intensifying social inequities and tensions. In my research, I ask whether and how these systems are biased and how those biases impact users, towards the aim of building better sociotechnical systems.
Understanding sociotechnical systems and their effects requires a combination of computational and social techniques. In this talk, I will describe my work conducting algorithm audits and randomized controlled user experiments to study representation and bias, in particular my recent study of gender and racial bias in image search. By auditing gender and race in image search results for common U.S. occupations and comparing to baselines in the U.S. workforce we find that marginalized people are underrepresented relative to their workforce participation rates. When measuring people’s responses to synthetic search results in which the gender and racial composition are manipulated, however, we see that the effect of diverse image search results is complex and mediated by the user’s own identity. I will also touch on extensions of this strategy in other domains, such as my algorithm audit of partisan political media in web search results, whose results dispute allegations of partisan bias in search. I will conclude by discussing the implications of these findings for building sociotechnical systems, and directions for future research studying algorithmic bias.

ODEI Spotlight: PAVE x SWE Workshop: Being an Active Bystander
2021-03-18 17:00 - 18:30

ODEI Spotlight: USABE x Career Services Info Session and Q&A
2021-03-18 18:00 - 19:00
AWE x USABE x Career Services:
Job Search Workshop and Q&A
Date: Thursday, March 18th
Time: 6:00 – 7:00 PM EST
(moved from Friday, March 19th at 3PM)Are you eager to land exciting jobs and internships at companies you love? Just starting out with the job search or feeling a little overwhelmed about the entire process? Whatever situation you’re in, we’ve got you covered! AWE, in association with USABE and Penn Career Services, is proud to present to you the ‘Job Search Workshop and Q&A’.
Jamie Grant, Senior Associate Director of Penn Career Services for SEAS, will be here to answer all your questions, right from resumé-writing to interviewing! We will also have fellow students sharing their experience through all these stages, leading to their job offers! You can ask your queries live or submit them in advance during registration.

Register/submit questions: https://tinyurl.com/careerservicesquestions
Zoom link: https://tinyurl.com/careerservicejobsearch
Zoom details: Meeting ID: 949 0033 2668, passcode: [REDACTED]

ODEI Spotlight: Virtual Mental Wellness & Anti-Racism Workshop - Turning off the Gaslights and Illuminating Brave Spaces
2021-03-18 20:00 - 21:30
To register and/or find out more about this event click here.

GRASP On Robotics: “One Robot for Every Task”
2021-03-19 11:00 - 12:30 | Zoom
Abstract: The digitization of practically everything coupled with advances in machine learning, the automation of knowledge work, and advanced robotics promises a future with democratized use of machines and wide-spread use of AI, robots and customization. While the last 60 years have defined the field of industrial robots, and empowered hard bodied robots to execute complex assembly tasks in constrained industrial settings, the next 60 years could be ushering in our time with Pervasive robots that come in a diversity of forms and materials, helping people with physical and cognitive tasks. However, the pervasive use of machines remains a hard problem. How can we accelerate the creation of machines customized to specific tasks? Where are the gaps that we need to address in order to advance the bodies and brains of machines? How can we develop scalable and trustworthy reasoning engines?
In this talk I will discuss recent developments in machine learning and robotics, focusing on about how computation can play a role in (1) developing Neural Circuit Policies, an efficient approach to more interpretable machine learning engines, (2) making machines more capable of reasoning in the world, (3) making custom robots, and (4) making more intuitive interfaces between robots and people.
Click here to join the Zoom Webinar

ODEI Spotlight: PAACH Restorative Practice Circle for Penn Undergraduate Students
2021-03-20 15:00 - 16:30
This event will be on Zoom.
Please click the link below to join the meeting:
https://upenn.zoom.us/j/95250449284

Technology, Business and Government Lecture: "STEM and the Future of Work- A Conversation with Rep. Chrissy Houlahan"
2021-03-22 11:00 - 12:00 | https://upenn.zoom.us/j/96715197752
Representative Houlahan will speak about how her experiences as a former teacher and engineer have shaped her priorities and work in Congress, and about the importance of STEM work/jobs across all sectors of society.
Zoom Webinar Link
Passcode: [REDACTED]

PSOC Webinar: Robert T. Tranquillo
2021-03-22 12:00 - 13:00
Physical Sciences in Oncology Center PSOC@Penn
Spring 2021 Webinar Series Mondays at 12:00 noon (EST)
For webinar links, please contact manu@seas.upenn.edu.

ODEI Spotlight: Underrepresented Identities and the Job Search: DEI Leaders Share Their Wisdom
2021-03-22 18:00 - 19:00
Join us as we engage a panel of Diversity, Equity & Inclusion leaders on how BIPOC and other marginalized students can effectively navigate the job search to find their career fit in a workplace where they can flourish. Panelists will also discuss DEI efforts at their companies. Please register on Handshake and you will receive a Zoom link before the event.

MEAM Seminar: "Exploring the Structure of Sediment-Laden Turbidity Currents"
2021-03-23 10:30 - 12:00 | Zoom – Email MEAM for Link, peterlit@seas.upenn.edu
Turbidity currents are sediment-laden turbulent shear flows that run over a sloping bed, submerged beneath a deep layer of quiescent ambient fluid, driven by the excess hydrostatic pressure. As the current travels downslope, the flow interacts with the ambient fluid layer above through entrainment at the interface. In this process, the ambient fluid is continuously incorporated into the current and the thickness of the current increases. Simultaneously, the current also interacts with the bottom bed both depositing and resuspending sediment. As a result, turbidity currents are responsible for massive emplacement of sediment as turbidites, which with their large amounts of organic-matter deposits now form the richest oil and gas reserves.
Due to extreme paucity of direct field observations and measurements, the structure and dynamics of real turbidity currents remain poorly understood. There are many elementary questions pertaining to the global behavior of the currents that are of substantial consequence to erosion and deposition of sediment. Some important aspects of turbidity currents have puzzled scientists: (i) It has been observed that turbidity currents travel hundreds of kilometers confined within submarine canyons. How is this possible, if the turbidity current is turbulent and mixes with the surrounding? (ii) After traveling for hundreds of kilometers, they suddenly drop a significant portion of the suspended sediment to form massive deposits. What triggers such catastrophic events? (iii) What is the effect of sediment size on ambient fluid entrainment and basal drag? (iv) What generates large-scale bedforms like cyclic steps?
We try to answer these questions with high-fidelity direct and large eddy multiphase flow simulations of turbidity currents. The delicate interplay between wall-turbulence, turbulence in the shear-layer, sediment transport and the back effect of sediment on turbulence through stratification presents a fascinating contrast between supercritical and subcritical currents. First, we find that long running currents in the subcritical regime present a near-wall region that behaves like a turbulent channel flow with a lutocline acting as a lid. Furthermore, we observe supercritical currents to form three families of interacting coherent hairpin vortex structures that control transport of turbulence. We elucidate on the effect of sediment size on ambient fluid entrainment and basal drag. Finally, we explore a transcritical current and its possible connection to cyclic steps and sediment waves. While the current slowly evolves in the subcritical and supercritical regimes in a near self-similar manner, the transcritical current with its unique cyclical evolution exhibits a limit-cycle like behavior.

ODEI Spotlight: Sustaining Women's Progress in STEM
2021-03-23 12:00 - 13:30
Following Dean Kumar’s presentation, participants will break off into small groups to reflect on this topic and share their experiences as part of the overall discourse.

The symposium finale will include a virtual tour of the Penn Innovation Center spotlighting female entrepreneurs at Penn.

CIS Seminar: "Prioritizing Computation and Analyst Resources in Large-scale Data Analytics"
2021-03-23 15:00 - 16:00 | Zoom – Email CIS for link, cherylh@cis.upenn.edu
Data volumes are growing exponentially, fueled by an increased number of automated processes such as sensors and devices. Meanwhile, the computational power available for processing this data – as well as analysts’ ability to interpret it – remain limited. As a result, database systems must evolve to address these new bottlenecks in analytics. In my work, I ask: how can we adapt classic ideas from database query processing to modern compute- and analyst-limited data analytics?
In this talk, I will discuss the potential for this kind of systems development through the lens of several practical systems I have developed. By drawing insights from database query optimization, such as pushing workload- and domain-specific filtering, aggregation, and sampling into core analytics workflows, we can dramatically improve the efficiency of analytics at scale. I will illustrate these ideas by focusing on two systems — one designed to optimize visualizations for streaming infrastructure and application telemetry and one designed for high-volume seismic waveform analysis — both of which have been field-tested at scale. I will also discuss lessons from production deployments at companies including Datadog, Microsoft, Google and Facebook.

ODEI Spotlight: Discovering Gender: A Reflection on Gender Exploration
2021-03-23 17:00 - 18:30
Registration Link: https://vpul-upenn.zoom.us/meeting/register/tJUode2rqD0iGNwS_NEDsJdbdYFMs92MnU-m
More info here: https://www.vpul.upenn.edu/secure/calendar/host/LGBT%20Center/24

CBE Seminar: "Life in a Tight Spot: How Bacteria Move in Heterogeneous Media"
2021-03-24 15:00 - 16:00 | Zoom – Email CBE for link
Abstract
Bacterial motility is central to processes in agriculture, the environment, and medicine. While motility is typically studied in homogeneous environments, many bacterial habitats—e.g., soils, sediments, and biological gels/tissues—are heterogeneous porous media. Here, we use studies of E. coli in transparent 3D porous media to demonstrate how confinement in a heterogenous medium fundamentally alters motility. In particular, we show how the paradigm of run-and-tumble motility is dramatically altered by pore-scale confinement, both for cells performing undirected motion and those performing chemotaxis, directed motion in response to a chemical stimulus. Our porous media also enable precisely structured multi-cellular communities to be 3D printed. Using this capability, we show how spatial variations in the ability of cells to perform chemotaxis enable populations to autonomously stabilize large-scale perturbations in their overall morphology. Together, our work thus reveals new principles to predict and control the behavior of bacteria, and active matter in general, in heterogeneous environments.

Spring 2021 GRASP SFI: “Toward Head-Up, Hands-Off Interaction with Human-Collaborative Robots”
2021-03-24 15:00 - 16:00 | Zoom
Abstract: Robotics is playing an increasing role in many domains, and advanced robots will eventually be applied in a variety of ways as partners to a range of users including factory workers, logistics personnel, and first responders to name a few. End-users and stakeholders are calling for developments that enable teaming of humans with robots. But presently, human operators are often constrained to head-down, hands-on human-robot interaction (HRI) often customized for each unique robot command and control system. To move beyond, more natural and intuitive human-robot interfaces are needed. This talk offers a sense for candidate technologies and additional research needs that would advance HRI toward head-up, hands off paradigms and increased robotic intelligence fostering more efficient human-collaborative operation.

ODEI Spotlight: PAACH Restorative Practice Circle for Penn Alumni
2021-03-24 20:00 - 21:30
This event will be on Zoom.
Please click the link below to join the meeting:
https://upenn.zoom.us/j/96863538457

ODEI Spotlight: PAACH Restorative Practice Circle for Penn Graduate & Professional Students
2021-03-25 10:00 - 11:30
This event will be on Zoom.
Please click the link below to join the meeting:
https://upenn.zoom.us/j/96561474476

MSE Seminar: "Future Directions in Self-Assembly for Nanopatterning"
2021-03-25 10:45 - 11:45
Macromolecular self-assembly has evolved to become an important and valuable tool for bottom-up patterning and fabrication at the nanometer scale. From block copolymer lithography to nanocrystal superlattices to biomolecular assemblies, bottom-up patterning is reaching an unprecedent level of control over complex patterns at the nanoscale with an increasing degree of precision. There is no question that the lithographic landscape has been transformed in the past few years with the introduction of extreme ultraviolet (EUV) lithography and the maturity of multiple patterning techniques. At dimensions below 10 nm, emphasis is shifting away from resolution to precision, highlighting the importance of the uniformity achieved by block copolymers and the exquisite precision afforded by biomolecular assemblies. Moreover, an opportunity may be opening for new, higher complexity, information-rich architectures where hybrid nanoparticle-(bio)molecule assemblies may shine. With features defined at the molecular level and the potential to modular and hierarchical structures, self-assembly offers a path to highly uniform, 2D and 3D architectures. In this talk I will review the current state of bottom-up patterning with soft matter and I will discuss research plans at The Molecular Foundry related to molecular-scale assembly.

ESE Seminar: "Engineering Quantum Processors in Silicon"
2021-03-25 11:00 - 12:00 | Zoom – Email ESE for Link jbatter@seas.upenn.edu
Across the globe, physicists in academia and industry alike are competing to be the first to build a scalable universal quantum computer. Amongst the multitudes of quantum computing architectures, solid-state quantum processors based on spins in silicon are emerging as a strong contender. Silicon is an ideal material to host spin qubits: it supports long coherence times [1], has excellent prospects for scaling, and is ubiquitous in the semiconductor industry. While semiconductor spin qubits were proposed over two decades ago [2], it is only within the past few years that we have learned how to reliably fabricate and control multi-qubit devices in silicon.

In this seminar, I will describe our state-of-the-art four-qubit Si/SiGe quantum processor [3] and explain how we have overcome major barriers to realizing large-scale quantum computing in silicon. First, I will discuss charge control and spin-state readout in the device. Then, I will describe the use of an on-chip micromagnet to mediate electrically driven spin resonance [4-5]. Using this technique, we achieved site-selective qubit control with fidelities exceeding 99.9%. I will give an overview of our three primitive two-qubit gates—the decoupled-CZ gate [4], the resonant CNOT gate [5], and the resonant SWAP gate [6]—and discuss the limitations to control fidelities. Finally, I will show how these advances enable the development of large-scale quantum processors capable of complex quantum information processing.
References:
[1] Tyryshkin et al., Nature Mat. 11, 143 (2011)
[2] Loss and Divincenzo, Phys. Rev. A 57, 120 (1998)
[3] Sigillito et al., Phys. Rev. Applied 11, 061006 (2019)
[4] Watson et al., Nature 555, 633 (2018)
[5] Zajac, Sigillito, et al., Science 359, 439 (2018)
[6] Sigillito et al., npj Quantum Information 5, 110 (2019)

Grace Hopper Distinguished Lecture: "Biomanufacturing Vascularized Organoids and Functional Human Tissues" (Jennifer A. Lewis)
2021-03-25 15:00 - 16:00
This lecture will be held virtually via Zoom (check email or contact ksas@seas.upenn.edu).
Recent protocols in developmental biology are unlocking the potential for stem cells to undergo differentiation and self-assembly to form “mini-organs,” known as organoids.
To bridge the gap from organoid building blocks (OBBs) to therapeutic functional tissues, integrative approaches that combine bottom-up organoid assembly with top-down bioprinting are needed. While it is difficult, if not impossible, to imagine how either organoids or bioprinting alone would fully replicate the complex multiscale features required for organ-specific function, their combination may provide an enabling foundation for de novo tissue manufacturing.
This talk will begin with Dr. Lewis describing her group’s recent efforts to generate organoids in vitro with perfusable microvascular networks that support their viability and maturation. Next, she will describe the generation of 3D vascularized organ-specific tissues by assembling OBBs into a living matrix that supports the embedded printing of macro-vessels by a process known as sacrificial writing in functional tissue (SWIFT). Though broadly applicable, Dr. Lewis will highlight recent work on kidney, cerebral and cardiac tissue engineering.

CIS Seminar: "Graph representation learning for drug discovery"
2021-03-25 15:00 - 16:00 | Zoom – Email CIS for link, cherylh@cis.upenn.edu
The current pandemic highlights an acute need to develop fast therapeutics against health threats. Traditional approaches to drug discovery are expensive and slow to react to pandemics. In this talk, I will discuss how to accelerate drug discovery with deep learning, and demonstrate their success in antibiotic discovery and COVID-19 drug combination design. In computational terms, the major challenge of drug discovery is molecular graph generation and multi-objective optimization. While deep learning has been extensively investigated for graph encoding, graph generation is a harder combinatorial task and remains under-explored. To address these challenges, I will present novel deep generative models that leverage the low treewidth prior of molecular graphs and demonstrate their success in molecular optimization.

Horizon 2030: Engineering Life & Life in (Bio)Engineering (Panel Discussion)
2021-03-25 16:15 - 17:15 | https://upenn.zoom.us/j/96715197752
This panel discussion will immediately follow the Spring 2021 Grace Hopper Distinguished Lecture delivered by Dr. Jennifer Lewis (details here). This webinar will be held remotely via Zoom (check email or contact ksas@seas.upenn.edu for the link).

ODEI Spotlight: PAACH Restorative Practice Circle for Penn Graduate & Professional Students
2021-03-25 20:00 - 21:30
This event will be on Zoom.
Please click the link below to join the meeting:
https://upenn.zoom.us/j/99025686962

GRASP/MEAM Seminar: “Towards Safe and Efficient Learning and Control for Physical Human Robot Interaction”
2021-03-26 11:00 - 12:00 | Zoom – Email MEAM for Link, peterlit@seas.upenn.edu
From factories to households, we envision a future where robots can work safely and efficiently alongside humans. For robots to truly be adopted in such dynamic environments, we must i) minimize human effort while communicating and transferring tasks to robots; ii) endow robots with the capabilities of adapting to changes in the environment, in the task objectives and human intentions; and iii) ensure safety for both the human and the robot. However, combining these objectives is challenging as providing a single optimal solution can be intractable and even infeasible due to problem complexity and contradicting goals. In my research, I seek to unify robot learning and control strategies to provide safe and fluid physical human-robot-interaction (pHRI) while theoretically guaranteeing task success and stability. To achieve this, I devise techniques that step over traditional disciplinary boundaries, seamlessly blending concepts from control theory, robotics, and machine learning. In this talk, I will present contributions that leverage Bayesian non-parametrics with dynamical system (DS) theory, solving challenging open problems in the Learning from Demonstration (LfD) and pHRI domains. By formulating and learning motion policies as DS with convergence guarantees, a single motion policy (or sequence of) can be used to solve a myriad of robotics problems. I will present novel DS formulations and efficient learning schemes that are capable of executing i) continuous complex motions, such as pick-and-place and trajectory following tasks; ii) sequential household manipulation tasks, such as rolling dough or peeling vegetables; iii) and more dynamic scenarios, such as object hand-overs from humans and catching objects in flight. Finally, I will show how these techniques scale to more complex scenarios and domains such as navigation and co-manipulation with humanoid robots.

PICS Colloquium: "Workflows, Datasets and Models for Active Discovery in Catalysis"
2021-03-26 14:00 - 15:00
Abstract: Machine learning accelerated catalyst discovery efforts has seen much progress in the last few years. Datasets of computational calculations have improved, models to connect surface structure with electronic structure or adsorption energies have gotten more sophisticated, and active learning exploration strategies are becoming routine in discovery efforts. However, there are several large challenges that remain: to date, models have had trouble generalizing to new materials or reaction intermediates and applying these methods requires significant training. I will review and discuss methods in my lab for high-throughput catalyst screening and on-line discovery of interesting materials, resulting in an optimized Cu-Al catalyst for CO2-to-ethylene conversion. I will then introduce the Open Catalyst Project and the Open Catalyst 2020 dataset, a collaborative project to span surface composition, structure, and chemistry and enable a new generation of deep machine learning models for catalysis, with initial results for state-of-the-art deep graph convolutional models. Finally, I will discuss on-going work to develop small ML models to accelerate routine calculations without requiring expert intervention.
