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Energy Science & Engineering

We teach courses and perform research relevant to the production and transformation of energy resources.

ESE Faculty

Regular Faculty

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** Faculty not currently admitting students into ESE program

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Ines Azevedo **

Associate Professor, Energy Science & Engineering

Professor Azevedo is passionate about solving problems that include environmental, technical, economic, and policy issues, where traditional engineering approaches play an important role but cannot provide a complete answer. In particular, she is interested in assessing how energy systems are likely to evolve, which requires comprehensive knowledge of the technologies that can address future energy needs and the decision-making process followed by various agents in the economy.

Google Scholar: Azevedo

 

 

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Ilenia Battiato

Assistant Professor, Energy Science & Engineering

Dr. Battiato's research and scholarly interests include the fundamental understanding of inherently multiscale and multiphysics energy systems (batteries, geological CO2 and H2 storage, membranes). The Multiscale Physics in Energy Group, which she leads, is focused on the entire lifecycle of multiscale models, from development (theory-driven; bottom-up) to deployment (application-driven; top-down). The group is specifically focused on improving the understanding of systems involving coupled (single and multiphase) flow and reactive transport processes in porous media, with applications spanning from geologic (e.g., rocks) to engineered porous media (e.g., batteries, membranes), and on advancing the algortithmic tools needed to address the multiscale challenge in energy systems through numerical and symbolic computing.

Google Scholar: Battiato

 

 

 

Sally Benson   (Leave of Absence at OSTP)

Professor of Energy Science & Engineering
Senior Fellow at the  Precourt Institute for Energy

Dr. Benson is the co-director of Stanford's Precourt Institute for Energy and the director of the Global Climate and Energy Project (GCEP). A Professor in the Department of Energy Resources Engineering in the School of Earth, Energy & Environmental Sciences, she studies technologies and pathways to reducing greenhouse gas emissions. A ground water hydrologist and reservoir engineer, Benson has conducted research to address a range of issues related to energy and the environment. Her research interests include geologic storage of CO2 in deep underground formations, technologies and energy systems for a low-carbon future, and geotechnical instrumentation for subsurface characterization and monitoring.

Google Scholar: Benson

 

 

 

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Stacey Bent **

Vice Provost for Graduate Education & Postdoctoral Affairs
Jagdeep & Singh Professor in the School of Engineering
Senior Fellow at Precourt and Professor, by courtesy, of Materials Science & Engineering, of Electrical Engineering and of Chemistry 

Google Scholar: Bent

 

 

 

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Adam R. Brandt

Associate Professor, Energy Science & Engineering

Dr. Brandt is an Associate Professor in the Department of Energy Resources Engineering, Stanford University.  His research focuses on reducing the greenhouse gas impacts of energy production and consumption, with a focus on fossil energy systems. Research interests include life cycle assessment of petroleum production and natural gas extraction. A particular interest is in unconventional fossil fuel resources such as oil sands, oil shale and hydraulically fractured oil and gas resources. He also researches computational optimization of emissions mitigation technologies, such as carbon dioxide capture systems. Dr. Brandt received his PhD from the Energy and Resources Group, UC Berkeley.

Google Scholar: Brandt

 

 

 

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Steven Chu **

William R. Kenan Jr. Professor
Professor of Molecular and Cellular Physiology

Dr. Chu current energy research interests include novel approaches to lithium metal anode - iron phosphate and sulfur cathode batteries, lithium extraction from sea water, efficient conversion of silicates to carbonates for carbon capture, and high mobility doping of diamond for high-power high-voltage power transistors. A physicist by training, Chu moved from precision tests of fundamental theories in physics, laser cooling and trapping, atom interferometry and to biophysics, polymer physics, molecular biology and energy research. His current research also includes the synthesis improved molecular probes and inventing new biology methods and their applications in the study molecular dynamics and cell signaling in live cells, and the development of new imaging methods in medical ultrasound imaging.

Google Scholar: Chu

 

 

 

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William Chueh **

Associate Professor of Material Science and Engineering
Senior Fellow at the Precourt Institute for Energy

Google Scholar: Chueh

 

 

 

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Yi Cui **

Director, Precourt Institute for Energy
Fortinet Founders Professor
Professor of Materials Science and Engineering, of Photon Science
Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy, of Chemistry

Professor Cui's research interest lies in the interdisciplinary field of nanoscience, energy and environment. He launched the research field of nanoscience for batteries. Current research directions include: 1) reinventing better batteries for electric transportation and stationary energy storage; 2) electrocatalysis for renewable fuels;  3) CO2 capture (point source and direct air capture) and conversion; 4) cooling and warming textile; 5) building materials for energy efficiency; 6) environmental nanotechnology for cleaning up water, soil and air; 7) two-dimensional materials; 8) new characterization tools such as cryogenic electron microscopy for materials science.

Google Scholar: Cui

 

 

 

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Louis Durlofsky

Otto N. Miller Professor in Earth Sciences, Energy Science & Engineering

Dr. Durlofsky co-directs the Stanford Smart Fields Consortium, the Stanford Center for Carbon Storage, and the Reservoir Simulation Research industrial affiliates programs. His research mainly involves modeling, history matching, and optimizing subsurface flow processes, particularly geological carbon storage and oil/gas production. Optimization problems in these domains may entail the determination of the optimal number, type, and placement of wells, along with their operational settings. Optimization and history-matching computations require large numbers of flow simulations, and this can result in extreme computational demands. The group is addressing this issue through the development of very fast deep-learning surrogate models. Additional areas of interest include data-space inversion for predicting flow behavior based only on prior-model simulations and observed data, deep-learning approaches for closed-loop reservoir/aquifer management, optimization of monitoring strategies and well configurations for carbon storage operations, and energy systems optimization.

Google Scholar: Durlofsky

 

 

 

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Roland Horne

Thomas Davies Barrow Professor in the School of Earth, Energy & Environmental Sciences
Senior Fellow at the Precourt Institute for Energy

Prof. Horne's research focuses on the matching of models to various classes of reservoir responses. These "inverse problems" seek the values of unknown reservoir parameters by inference rather than direct measurement, often with the use of machine learning approaches. Typical problems are: tracer analysis of fractures, computer-aided well test analysis, production schedule optimization, and data analytics of long-term production records. In addition to this general class of problem, Prof. Horne has a specific interest in geothermal reservoir engineering, and the multiphase flow of fluids through porous materials and fractures. Research groups in which he is active include: Stanford Geothermal Program, SUETRI-D, SUPRI-Tides and Smartfields.

Google Scholar: Horne

 

 

 

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Thomas Jaramillo **

Associate Professor of Chemical Engineering, of Photon Science
Senior Fellow at the Precourt Institute for Energy

Google Scholar: Jaramillo 

 

 

 

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Anthony Kovscek

Keleen and Carlton Beal Professor of Petroleum Engineering
Senior Fellow at the Precourt Institute for Energy

Prof. Kovscek and his research team study recovery of unconventional hydrocarbon resources in combination with methods for mitigating carbon emissions from fossil fuels including geological sequestration of greenhouse gases. They use advanced imaging and microscopy techniques to examine coupled transport, chemical, and physical processes in porous media from the nanometer to the meter scale with the aim of applying mechanistic understanding to reduce negative impacts. Physical observations, obtained mainly from laboratory and field measurements, are interwoven with theory. Prof. Kovscek leads the Center for Mechanistic Control of Unconventional Formations (CMC-UF), directs the Enhanced Recovery affiliates program (SUPRI-A), and codirects the Center for Carbon Storage (SCCS).

Google Scholar: Kovscek

 

 

 

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Arun Majumdar **

Dean, Stanford Doerr School of Sustainability
Jay Precourt Professor
Professor of Mechanical Engineering
Professor of Photon Science
Senior Fellow, by courtesy, at the Hoover Institution

Dr. Majumdar’s scientific interests and expertise spans, on one hand, fundamental science of transport and transformations of energy, mass and charge at the nanoscale, and on the other hand, large scale industrial and commercial energy systems. His research in the past has involved the science and engineering of nanoscale materials and devices, especially in the areas of energy conversion, transport and storage as well as biomolecular analysis. His current research focuses on redox reactions and systems that are fundamental to a sustainable energy future, multidimensional nanoscale imaging and microscopy, and an effort to leverage modern AI techniques to develop and deliver energy and climate solutions.

Google Scholar: Majumdar

 

 

 

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Kathryn Moler **

Vice Provost and Dean of Research
Marvin Chodrow Professor and Professor of Applied Physics and of Physics

Google Scholar: Moler

 

 

 

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Tapan Mukerji

Professor (Research) of Energy Science & Engineering and, by courtesy, of Geological Sciences and Geophysics

The focus of Dr. Mukerji’s multi-disciplinary research, with students and colleagues, has been on integrating rock physics, spatial data science and wave propagation physics, and their broad applications in subsurface characterization, stochastic geomodeling, subsurface uncertainty quantification, and time-lapse seismic monitoring. He uses theoretical, computational, and machine learning methods, to discover and understand fundamental relations between geophysical data and subsurface systems and processes, to quantify uncertainty in subsurface geological models, and to address value of information for decision making under uncertainty. He co-directs the Stanford Center for Earth Resources Forecasting (SCERF), the Stanford Rock Physics and Borehole Geophysics (SRB) and Stanford Basin and Petroleum System Modeling (BPSM) research groups.  

Google Scholar: Mukerji

 

 

 

Simona Onori

Assistant Professor, Energy Science & Engineering

Dr. Onori's research and interests include Modeling, control and optimization of dynamic systems; Model-based control in advanced propulsion systems; Energy management control and optimization in HEVs and PHEVs; Energy storage systems- Li-ion and PbA batteries, Supercapacitors; Battery aging modeling, state of health estimation and life prediction for control; and Damage degradation modeling in interconnected systems.

Google Scholar: Onori

 

 

 

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Daniel Tartakovsky

Professor, Energy Science & Engineering

Prof. Tartakovsky's research interests include data-driven modeling and simulations, multi-scale and multi-physics modeling, parameter estimation and data assimilation, uncertainty quantification, and probabilistic risk assessment. Application areas range from groundwater management  and geothermal energy to electrochemical energy storage and biomedical engineering. 

Google Scholar: Tartakovsky

 

 

 

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Hamdi Tchelepi

Department Chair, Professor, Energy Science & Engineering

Hamdi works on modeling and simulation of fluid flow, transport, and fluid-structure interactions in natural and artificial porous media. Ongoing research activities include: (1) simulation of unstable fluid flow in heterogeneous porous media, (2) multiscale algorithms for coupled mechanics and fluid flow in subsurface formations, (3) stochastic methods for the quantification of the uncertainty associated with predictions of fluid-structure dynamics in heterogeneous porous media, and (4) simulation-based design of the next-generation of Lithium-ion batteries.

The application areas include reservoir simulation, subsurface CO2 sequestration, subsurface storage and retrieval of hydrogen, and multiscale simulation of Lithium-ion batteries.

Google Scholar: Tchelepi

 

 

 

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John Weyant **

Professor (Research) of Management Science and Engineering
Senior Fellow at the Precourt Institute of Energy

Energy-environmental sytems analysis and integrated assessment of energy, climate, water, land, and food systems at the state, national and international scales.  Research focus is on realsitic technology assessments, model diagnostics, and uncertainty methods development.  Overall goal is to accelerate the use of systems analysis tools to provide the best available information and insights to government and private-sector decision makers.

Google Scholar: Weyant

 

 

 

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Xiaolin Zheng **

Professor of Mechanical Engineering
Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering

Dr. Zheng is a joint Professor in both the Department of Energy Science and  Engineering and the Department of Mechanical Engineering. Her research group is passionate about the design, synthesis, and testing of novel materials for energy and propulsion applications. Her research involves fundamental studies of thermodynamics, materials, and chemistry. Current research falls into three general directions. First, we develop ultrafast and scalable flame-based methods to synthesize novel materials, especially metal oxides. Second, we study electrocatalysts and devices to split water into H2, O2, and H2O2. Finally, we are developing new metal/polymer composites as high-energy-density fuels for propulsion applications. She co-directs the Stanford Hydrogen Initiative.

Google Scholar: Zheng

 

 

 Active Emeritus Faculty

Khalid Aziz **

Otto N. Miller Professor in the School of Earth, Energy & Environmental Sciences, Professor Emeritus

The overall goal of Dr. Aziz's research is the development of robust and reliable models for predicting performance of hydrocarbon reservoirs (including shale oil and gas) and CO2 sequestration operations. Over the years he has been involved with the development of four different industrial consortia dealing with different aspects of this problem. The first was on reservoir simulation (SUPRI-B), the second on data integration (SCRF), the third on advanced wells (SUPRI-HW), and the most recent one on Smart Fields (SFC). Underlying his research is the desire to understand mechanisms involved during the flow of complex mixtures in porous rocks and in pipes, and efficient modeling of these processes on computers. While he is no longer directly involved with SCERF and we have merged SUPRI-HW with other programs, he co-directs the other two consortia. All are highly successful and have led to a number of developments and innovations that have found important applications in industry.

Google Scholar: Aziz

 

 

 

Franklin "Lynn" Orr **

Keleen and Carlton Beal Professor in Petroleum Engineering, Professor Emeritus

Dr. Orr and his students work to understand the physical mechanisms that control flow of multiphase, multicomponent fluids in the subsurface, using a combination of experiments and theory. The theory part includes numerical simulation of flow in heterogeneous porous rocks and coal beds, often using streamline approaches, and it also involves solving by analytical methods the differential equations that describe the interactions of complex phase equilibrium and flow (porous rocks containing more than one flowing phase can sometimes act like a chromatograph, separating components as they flow). The experiments are used to test how well the models describe reality. Applications of this work range from enhanced oil and gas recovery to geologic storage of carbon dioxide (to reduce greenhouse gas emissions) to the transport of contaminants in aquifers.

Google Scholar: Orr

 

 

Affiliated Faculty

This is not a comprehensive list of ESE faculty. Additional faculty listings are available here.

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