ScB., Chemical Physics, Brown University, 2007
MPhil, Theoretical Chemistry, University of Cambridge, 2008
PhD, Chemical Physics, Columbia University, 2013
Lawrence Distinguished Postdoctoral Fellow, LLNL, 2013-2016
Joined the Brown Chemistry Department in 2016
Staros, Daniel, Rubenstein, Brenda, Ganesh, Panchapakesan. "A first-principles study of bilayer 1T'-WTe2/CrI3: A candidate topological spin filter." 2023. |
Agiza AA, Oakley K, Rosenstein JK, Rubenstein BM, Kim E, Riedel M, Reda S. "Digital circuits and neural networks based on acid-base chemistry implemented by robotic fluid handling." Nature Communications, vol. 14, no. 1, 2023, pp. 496. |
DiScala, M. F., Staros, D., de la Torre, A., Lopez, A., Wong, D., Schulz, C., Bartkowiak, M., Rubenstein, B., Plumb, K. W. "Dimensionality dependent electronic structure of the exfoliated van der Waals antiferromagnet NiPS$_3$." arXiv, 2023. |
Silva, Gabriel M. da, Rubenstein, Brenda M. "Mutations in a human kinase cause drug resistance by shifting conformational state distributions." Biophysical Journal, vol. 122, no. 3, 2023, pp. 12a. |
da Silva, Gabriel Monteiro, Cui, Jennifer Y., Dalgarno, David C., Lisi, George P., Rubenstein, Brenda M. "Predicting Relative Populations of Protein Conformations without a Physics Engine Using AlphaFold2." 2023. |
Sahoo, Sushree Jagriti, Xu, Qimen, Lei, Xiangyun, Staros, Daniel, Iyer, Gopal R., Rubenstein, Brenda, Suryanarayana, Phanish, Medford, Andrew J. "Self-consistent convolutional density functional approximations: Formulation and application to adsorption at metal surfaces." 2023. |
Shen, Tong, Barghathi, Hatem, Yu, Jiangyong, Del Maestro, Adrian, Rubenstein, Brenda M. "Stable recursive auxiliary field quantum Monte Carlo algorithm in the canonical ensemble: Applications to thermometry and the Hubbard model." Physical Review E, vol. 107, no. 5, 2023. |
Foulon, Benjamin L., Ray, Keith G., Kim, Chang-Eun, Liu, Yuan, Rubenstein, Brenda M., Lordi, Vincenzo.
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Staros, Daniel, Hu, Guoxiang, Tiihonen, Juha, Nanguneri, Ravindra, Krogel, Jaron, Bennett, M. Chandler, Heinonen, Olle, Ganesh, Panchapakesan, Rubenstein, Brenda. "A combined first principles study of the structural, magnetic, and phonon properties of monolayer CrI3." The Journal of Chemical Physics, vol. 156, no. 1, 2022. |
Tang, Wai Shing, da Silva, Gabriel Monteiro, Kirveslahti, Henry, Skeens, Erin, Feng, Bibo, Sudijono, Timothy, Yang, Kevin K., Mukherjee, Sayan, Rubenstein, Brenda, Crawford, Lorin. "A topological data analytic approach for discovering biophysical signatures in protein dynamics." PLOS Computational Biology, vol. 18, no. 5, 2022, pp. e1010045. |
Silva, Gabriel Monteiro da, Yang, Jordan, Leang, Bunlong, Huang, Jessie, Weinreich, Daniel M., Rubenstein, Brenda M. "Covalent docking and molecular dynamics simulations reveal the specificity-shifting mutations Ala237Arg and Ala237Lys in TEM beta-lactamase." PLOS Computational Biology, vol. 18, no. 6, 2022, pp. e1009944. |
Li, Shunji, Patel, Jagdish Suresh, Yang, Jordan, Crabtree, Angela Marie, Rubenstein, Brenda Marilyn, Lund-Andersen, Peik Karl, Ytreberg, Frederick Marty, Rowley, Paul Andrew. "Defining the HIV Capsid Binding Site of Nucleoporin 153." mSphere, vol. 7, no. 5, 2022. |
Iyer, Gopal R., Rubenstein, Brenda M. "Finite-Size Error Cancellation in Diffusion Monte Carlo Calculations of Surface Chemistry." The Journal of Physical Chemistry A, vol. 126, no. 28, 2022, pp. 4636-4646. |
Huang, Cancan, Rubenstein, Brenda M. "Machine Learning Diffusion Monte Carlo Forces." The Journal of Physical Chemistry A, vol. 127, no. 1, 2022, pp. 339-355. |
Borda, Edgar Josué Landinez, Rubenstein, Brenda. "Gaussian Processes for Finite Size Extrapolation of Many-Body Simulations." arXiv, 2021. |
Dombroski, Amanda, Oakley, Kady, Arcadia, Christopher, Nouraei, Farnaz, Chen, Shui Ling, Rose, Christopher, Rubenstein, Brenda, Rosenstein, Jacob, Reda, Sherief, Kim, Eunsuk. "Implementing parallel arithmetic via acetylation and its application to chemical image processing." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 477, no. 2248, 2021. |
Arcadia, Christopher E., Dombroski, Amanda, Oakley, Kady, Chen, Shui Ling, Tann, Hokchhay, Rose, Christopher, Kim, Eunsuk, Reda, Sherief, Rubenstein, Brenda M., Rosenstein, Jacob K. "Leveraging autocatalytic reactions for chemical domain image classification." Chemical Science, vol. 12, no. 15, 2021, pp. 5464-5472. |
Lai J, Yang J, Gamsiz Uzun ED, Rubenstein BM, Sarkar IN. "LYRUS: a machine learning model for predicting the pathogenicity of missense variants." Bioinformatics advances, vol. 2, no. 1, 2021, pp. vbab045. |
Church, Matthew S., Rubenstein, Brenda M. "Real-time dynamics of strongly correlated fermions using auxiliary field quantum Monte Carlo." The Journal of Chemical Physics, vol. 154, no. 18, 2021, pp. 184103. |
Kennedy, Eamonn, Geiser, Joseph, Arcadia, Christopher E., Weber, Peter M., Rose, Christopher, Rubenstein, Brenda M., Rosenstein, Jacob K. "Secret messaging with endogenous chemistry." Scientific Reports, vol. 11, no. 1, 2021, pp. 13960. |
Shen, Tong, Liu, Yuan, Yu, Yang, Rubenstein, Brenda M. "Finite temperature auxiliary field quantum Monte Carlo in the canonical ensemble." The Journal of Chemical Physics, vol. 153, no. 20, 2020, pp. 204108. |
Hao, Hongxia, Georges, Antoine, Millis, Andrew J., Rubenstein, Brenda, Han, Qiang, Shi, Hao. "Metal-insulator and magnetic phase diagram of Ca2RuO4 from auxiliary field quantum Monte Carlo and dynamical mean field theory." Physical Review B, vol. 101, no. 23, 2020. |
Arcadia, Christopher E., Kennedy, Eamonn, Geiser, Joseph, Dombroski, Amanda, Oakley, Kady, Chen, Shui-Ling, Sprague, Leonard, Ozmen, Mustafa, Sello, Jason, Weber, Peter M., Reda, Sherief, Rose, Christopher, Kim, Eunsuk, Rubenstein, Brenda M., Rosenstein, Jacob K. "Multicomponent molecular memory." Nature Communications, vol. 11, no. 1, 2020, pp. 691. |
Yuan, Dao-Fu, Liu, Yuan, Qian, Chen-Hui, Zhang, Yue-Rou, Rubenstein, Brenda M., Wang, Lai-Sheng. "Observation of a π -Type Dipole-Bound State in Molecular Anions." Physical Review Letters, vol. 125, no. 7, 2020. |
Liu, Yuan, Zhu, Guo-Zhu, Yuan, Dao-Fu, Qian, Chen-Hui, Zhang, Yue-Rou, Rubenstein, Brenda M., Wang, Lai-Sheng. "Observation of a Symmetry-Forbidden Excited Quadrupole-Bound State." Journal of the American Chemical Society, vol. 142, no. 47, 2020, pp. 20240-20246. |
Yuan, Dao-Fu, Liu, Yuan, Qian, Chen-Hui, Kocheril, G. Stephen, Zhang, Yue-Rou, Rubenstein, Brenda M., Wang, Lai-Sheng. "Polarization of Valence Orbitals by the Intramolecular Electric Field from a Diffuse Dipole-Bound Electron." The Journal of Physical Chemistry Letters, vol. 11, no. 18, 2020, pp. 7914-7919. |
Yang J, Naik N, Patel JS, Wylie CS, Gu W, Huang J, Ytreberg FM, Naik MT, Weinreich DM, Rubenstein BM. "Predicting the viability of beta-lactamase: How folding and binding free energies correlate with beta-lactamase fitness." PLOS ONE, vol. 15, no. 5, 2020, pp. e0233509. |
Rosenstein, Jacob K., Rose, Christopher, Reda, Sherief, Weber, Peter M., Kim, Eunsuk, Sello, Jason, Geiser, Joseph, Kennedy, Eamonn, Arcadia, Christopher, Dombroski, Amanda, Oakley, Kady, Chen, Shui Ling, Tann, Hokchhay, Rubenstein, Brenda M. "Principles of Information Storage in Small-Molecule Mixtures." IEEE Transactions on NanoBioscience, vol. 19, no. 3, 2020, pp. 378-384. |
Kent, P. R. C., Annaberdiyev, Abdulgani, Benali, Anouar, Bennett, M. Chandler, Landinez Borda, Edgar Josué, Doak, Peter, Hao, Hongxia, Jordan, Kenneth D., Krogel, Jaron T., Kylänpää, Ilkka, Lee, Joonho, Luo, Ye, Malone, Fionn D., Melton, Cody A., Mitas, Lubos, Morales, Miguel A., Neuscamman, Eric, Reboredo, Fernando A., Rubenstein, Brenda, Saritas, Kayahan, Upadhyay, Shiv, Wang, Guangming, Zhang, Shuai, Zhao, Luning. "QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion quantum Monte Carlo." The Journal of Chemical Physics, vol. 152, no. 17, 2020, pp. 174105. |
Liu, Yuan, Shen, Tong, Zhang, Hang, Rubenstein, Brenda. "Unveiling the Finite Temperature Physics of Hydrogen Chains via Auxiliary Field Quantum Monte Carlo." Journal of Chemical Theory and Computation, vol. 16, no. 7, 2020, pp. 4298-4314. |
Foulon, Benjamin L., Liu, Yuan, Rosenstein, Jacob K., Rubenstein, Brenda M. "A Language for Molecular Computation." Chem, vol. 5, no. 12, 2019, pp. 3017-3019. |
Hongxia Hao, Brenda Rubenstein, and Hao Shi. "Auxiliary field quantum Monte Carlo for multiband Hubbard models: Controlling the sign and phase problems to capture Hund's physics." Physical Review B, vol. 99, 2019, pp. 235142. |
Kennedy E, Arcadia CE, Geiser J, Weber PM, Rose C, Rubenstein BM, Rosenstein JK. "Encoding Information in Synthetic Metabolomes." PLoS ONE, vol. 14, no. 7, 2019, pp. e0217364. |
Cong, R., Nanguneri, Ravindra, Rubenstein, Brenda, Mitrović, V. F. "Evidence from first-principles calculations for orbital ordering in Ba2NaOsO6 : A Mott insulator with strong spin-orbit coupling." Physical Review B, vol. 100, no. 24, 2019. |
Sprague, Leonard W., Huang, Cancan, Song, Jeong-Pil, Rubenstein, Brenda M. "Maximizing Thermoelectric Figures of Merit by Uniaxially Straining Indium Selenide." The Journal of Physical Chemistry C, vol. 123, no. 41, 2019, pp. 25437-25447. |
Keith G Ray, Brenda M Rubenstein, Wenze Gu, and Vincenzo Lordi. "vdW-Corrected Density Functional Study of Electric Field Noise Heating in Ion Traps Caused by Electrode Surface Adsorbates." New Journal of Physics, vol. 21, 2019. |
Yuan Liu, Minsik Cho, and Brenda Rubenstein. "Ab Initio Finite Temperature Auxiliary Field Quantum Monte Carlo." journal of chemical theory and computation, 2018. |
Hongxia Hao, James Shee, Shiv Upadhyay, Can Ataca, Kenneth D. Jordan, and Brenda M. Rubenstein. "Accurate Predictions of Electron Binding Energies of Dipole-Bound Anions via Quantum Monte Carlo Methods." Journal of Chemical Physics Letters, vol. 21, 2018, pp. 6185. |
Rose, C., Reda, S., Rubenstein, B.M., and J. Rosenstein.
"Computing with Chemicals: Perceptrons Using Small Molecules." 2018.
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Arcadia, C., Dombroski, A., Tann, H., Rosenstein, J., Kim, E., Rubenstein, B.M., and S. Reda.
"Parallelized Linear Classification with Volumetric Chemical Perceptrons." 2018.
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Zhu H, Cai T, Que M, Song JP, Rubenstein BM, Wang Z, Chen O. "Pressure-Induced Phase Transformation and Band-Gap Engineering of Formamidinium Lead Iodide Perovskite Nanocrystals." The journal of physical chemistry letters, vol. 9, no. 15, 2018, pp. 4199-4205. |
Kim J, Baczewski AT, Beaudet TD, Benali A, Bennett MC, Berrill MA, Blunt NS, Borda EJL, Casula M, Ceperley DM, Chiesa S, Clark BK, Clay RC, Delaney KT, Dewing M, Esler KP, Hao H, Heinonen O, Kent PRC, Krogel JT, Kylänpää I, Li YW, Lopez MG, Luo Y, Malone FD, Martin RM, Mathuriya A, McMinis J, Melton CA, Mitas L, Morales MA, Neuscamman E, Parker WD, Pineda Flores SD, Romero NA, Rubenstein BM, Shea JAR, Shin H, Shulenburger L, Tillack AF, Townsend JP, Tubman NM, Van Der Goetz B, Vincent JE, Yang DC, Yang Y, Zhang S, Zhao L. "QMCPACK: an open source ab initio quantum Monte Carlo package for the electronic structure of atoms, molecules and solids." Journal of Physics: Condensed Matter, vol. 30, no. 19, 2018, pp. 195901. |
Cai T, Yang H, Hills-Kimball K, Song JP, Zhu H, Hofman E, Zheng W, Rubenstein BM, Chen O. "Synthesis of All-Inorganic Cd-Doped CsPbCl<sub>3</sub> Perovskite Nanocrystals with Dual-Wavelength Emission." The journal of physical chemistry letters, vol. 9, no. 24, 2018, pp. 7079-7084. |
Advances in the Computational Sciences: Symposium in Honor of Dr. Berni Alder's 90th Birthday. edited by Eric Schwegler, Brenda Rubenstein, and Stephen Libby, World Scientific, 2017. |
Chang, C.-C., Rubenstein, B.M., and M.A. Morales-Silva. "Auxiliary-Field Based Trial Wave Functions in Quantum Monte Carlo Calculations." Physical Review B, vol. 94, 2016, pp. 235144. |
B.M. Rubenstein. "Introduction to the Variational Monte Carlo Method in Quantum Chemistry and Physics." Springer, vol. Variational Methods in Molecular Modeling, 2016, pp. 285-313. |
Rubenstein, B.M., Zhang, S., and D.R. Reichman. "Auxiliary-Field Quantum Monte Carlo for Bose-Fermi Mixtures." Physical Review A, vol. 86, 2012, pp. 053606. |
Rubenstein, B.M., Coluzza, I., and M.A. Miller. "Controlling the Folding and Binding of Proteins Using Polymer Brushes." Physical Review Letters , vol. 108, 2012, pp. 208104. |
Rubenstein, B.M., Gubernatis, J.E., and J.D. Doll. "Comparative Monte Carlo Efficiency by Monte Carlo Analysis." Physical Review E, vol. 82, 2010, pp. 036701. |
Rubenstein, B.M. and L.J. Kaufman. "The Role of Extracellular Matrix in Glioma Invasion: A Cellular Potts Model Approach." Biophysical Journal, vol. 95, 2008, pp. 5661. |
For decades, quantum chemists have been forced to make an oftentimes humbling choice in their day-to-day work: to use highly accurate, many-body methods that are too slow to apply to realistic quantum systems, or, to use faster one-body methods that are significantly less accurate. This fundamental compromise has glaringly limited the impact of quantum chemistry. Indeed, while most of modern experimental chemistry is focused upon synthesizing complex molecules and designing novel nano- and bulk materials, most modern quantum chemistry techniques are hard-pressed to even approach the scales necessary to answer many of the most pivotal experimental questions about these systems. The Rubenstein group is focused on developing electronic structure methods that are at once highly accurate and scale well with system size to help bridge this divide and enable theory-driven materials design. Other recurrent interests in the group revolve around molecular computing, quantum computing, computational biophysics, classical statistical mechanics, and computational linear algebra.
Of key interest to the group is the development and application of stochastic methods to meet the long-standing need for rigorous techniques capable of accessing experimentally relevant scales. Because they make careful use of random numbers, quantum Monte Carlo methods are not only highly accurate (they are the gold standard in much of condensed matter physics), but scale gracefully with system size. They can therefore address a wide variety of experimentally motivated questions inaccessible to equally accurate deterministic methods and be used to improve existing electronic structure methods including Density Functional Theory. Problems of primary interest to the group fall into three main categories:
Modeling of bulk transition metal oxides, transition metal-based nanoclusters, and organometallic frameworks. Electrons in transition metals occupy highly degenerate, strongly-correlated d- and f- orbitals that are particularly difficult to model using one-body theories. The group’s recent advances developing stochastic techniques capable of modeling hundreds of electrons in hundreds of orbitals opens the door to simulating a variety of transition metal-based compounds and materials. Quantum Monte Carlo simulations of transition metal oxides will enable the high accuracy prediction of band gaps and high temperature, high pressure phase transitions, which will pave the way toward the development of more advanced photovoltaics as well as an improved understanding of the phase diagrams of complex solids.
Development of new methods capable of capturing relativistic effects, including spin-orbit coupling, beyond the mean field level. Being able to properly model relativistic effects is critical to predicting the behavior of heavy elements including Se and Te, which comprise topological insulators and important semiconductors, and the lanthanides and actinides, which assume a pivotal role in the nuclear fuel cycle and exhibit intriguing volume collapse transitions in the bulk. Our group is currently exploiting quantum Monte Carlo’s unique ability to obtain the ground state wave functions of multi-component Hamiltonians to explore the full hierarchy of relativistic Hamiltonians and their accuracy in quantum chemical calculations. These efforts will inform current experimental efforts underway at Brown and elsewhere.
Design and testing of finite temperature electronic approaches to model hot electrons and astrophysical conditions. Few electronic structure approaches are capable of modeling materials under conditions in which electrons are excited well above the ground state. This currently limits our understanding of photochemistry, plasma physics, and astrophysical processes such as star formation. Our group is developing density matrix-based methods that will enable the direct prediction of molecular behavior at high temperatures using both stochastic methods and more conventional finite temperature density functional theories.
Advances made in these directions will establish the foundations necessary for rigorous simulations of a variety of materials currently outside the scope of modern-day exploration, dramatically expanding the predictive power of quantum chemical techniques. Students engaged in this work will develop a deep understanding of both quantum and statistical mechanics and will become familiar with modern high performance computing paradigms.
The Rubenstein Group has also had a long-standing interest in biophysical modeling and alternative computing technologies, including quantum, molecular, and biological computation.
Air Force Office of Scientific Research DEPSCoR Collaboration Grant, "Probing Electron Nematicity in Multilayer Graphene Heterostructures (Co-PI w/ Jia Li)," 2023-2026.
Cottrell Collaborative Grant, "Broadening and Deepening the ESCIP Network: Infusing Computational Science Concepts into STEM Courses through Multidisciplinary Instructor Collaborative Networks (Co-PI)," 2022-2024.
Cottrell Collaborative Grant, "LABSIP: Lowering the Activation Barrier to Success in PChem (Co-PI)," 2022-2024.
Camille Dreyfus Teacher-Scholar Award, "Accurate and Efficient Stochastic Electronic Structure Algorithms for Materials Design (PI)," 2021-2026.
NSF CAREER Award, "Finite Temperature Electronic Structure Algorithms for Predicting Material Phase Diagrams (PI)," 2021-2026.
NSF SemiSynthBio Program, "Hybrid Biofilm Semiconductor Information Systems (Co-PI)," 2020-2024.
Cottrell Teacher-Scholar Award, "Catalyst Design via Data-Enabled Quantum Chemistry and Integrating Data Science into the Chemistry Curriculum (PI)," 2020-2023.
Air Force Office of Scientific Research Young Investigator Award, "Stochastic Methods for Carbon Dioxide Catalysis (PI)," 2020-2023.
DOE CCMS Center, "Center for Predictive Simulations of Functional Materials (Co-PI w/ Paul Kent, Jaron Krogel, Luke Shulenberger, Anouar Benali, and Lubos Mitas)," 2019-2024.
NSF Eager Grant, "Synthetic Chemical-Based Information Processing (Co-PI w/ Sherief Reda, Jacob Rosenstein, and Eunsuk Kim)," 2019-2022.
NSF EPSCoR RII Track-2 FEC Grant, "Harnessing the Data Revolution for the Quantum Leap: From Quantum Control to Quantum Materials (Co-I w/Vesna Mitrovic, Brad Marston, Dmitri Feldman, and Chandresekhar Ramanathn)," 2019-2024.
NSF Major Research Instrumentation Grant, "Acquisition of a Maskless Lithography Tool for the Brown Nanofabrication Central Facility (Co-PI w/ Alexander Zaslavsky, Anita Skukla, Domenico Pacifici, and Derek Stein)," 2019-Present
Alfred P. Sloan Fellowship, "Quantum Chemistry That Scales," 2019-Present
DOE Computational Chemical Science Research Center, "Bridging the Time Scale in Exascale Computing of Chemical Systems (Co-I w/ Andrew Peterson, Franklin Goldsmith, Zachary Ulissi, Andrew Medford, and Matthew Willard)," 2018-Present
NSF DMR, "Beyond DFT: Accurate Simulations of Low Dimensional Materials for Energy and Device Applications (PI w/ Can Ataca)," 2018-Present
DARPA Molecular Informatics Program, "Chemical CPUs: Chemical Computational Processing via Ugi Reactions (PI w/ Jacob Rosenstein, Chris Rose, Peter Weber, Sherief Reda, Eunsuk Kim, Joseph Geiser, and Jason Sello)," 2017-Present
NSF EPSCoR Program, "Genotypes to Phenoytpes (w/ Marty Ytreberg, Daniel Weinreich, Holly Wichman, others)," 2017-2021
Year | Degree | Institution |
---|---|---|
2013 | PhD | Columbia University |
2008 | MPhil | University of Cambridge |
2007 | ScB | Brown University |
Defense Science Study Group Selection, 2023
Fulbright Senior Scholar, 2023
Meenakshi Narrain Award for Undergraduate Research Mentoring, 2023
Popular Science's Brilliant Ten, 2021
Camille Dreyfus Teacher-Scholar Award, 2021
Cottrell Teacher-Scholar Award, 2020
Chemical and Engineering News Talented Twelve, 2019
Brown University DIAP Faculty Award, 2019
Alfred P. Sloan Fellow, 2019
Dell-Intel Young Investigator Award in Quantum Chemistry, 2018
Lawrence Distinguished Postdoctoral Fellowship, 2013-2016
National Science Foundation Graduate Research Fellowship, 2008-2013
Department of Energy Computational Science Graduate Fellowship, 2008-2012
Winston Churchill Foundation of America Fellowship to Cambridge, 2007-2008
Paul Cross Prize for Best Senior in Physical Chemistry (Brown), 2007
Leallyn B. Clapp Thesis Prize for Best Thesis in Physical Chemistry (Brown), 2007
Rhodes Scholarship Finalist (NJ/MA Region), 2006
Barry Goldwater Scholarship (NJ Region), 2006-2007
Name | Title |
---|---|
Bai, Yusong | Assistant Professor of Chemistry |
Chen, Ou | Associate Professor of Chemistry |
Crawford, Lorin | Distinguished Senior Fellow in Biostatistics |
Fawzi, Nicolas | Professor of Medical Science |
Goldsmith, Franklin | Associate Professor of Engineering |
Kim, Eunsuk | Professor of Chemistry |
Li, Jia Leo | Associate Professor of Physics |
Lisi, George | Thomas J. and Alice M. Tisch Assistant Professor of Molecular Biology, Cell Biology, and Biochemistry |
Marston, John | Professor of Physics |
Mitrovic, Vesna | L. Herbert Ballou University Professor of Physics, Chair of Physics |
Ogbunu, C. Brandon | Assistant Professor of Ecology and Evolutionary Biology |
Peterson, Andrew | Associate Professor of Engineering |
Plumb, Kemp | Christopher M. Barter Assistant Professor of Physics |
Reda, Sherief | Professor of Engineering, Professor of Computer Science |
Robinson, Jerome | Associate Professor of Chemistry |
Rose, Christopher | Professor of Engineering, Director of STEMJazz Programs |
Rosenstein, Jacob | Associate Professor of Engineering |
Stratt, Richard | Newport Rogers Professor of Chemistry, Professor of Physics |
Tang, Jay | Professor of Physics, Professor of Engineering |
Wang, Lai-Sheng | Jesse H. and Louisa D. Sharp Metcalf Professor of Chemistry, Chair of Chemistry |
Weber, Peter | Jesse Houghton Metcalf Professor of Chemistry |
Weinreich, Daniel | Professor of Ecology, Evolution, and Organismal Biology, Vice Chair of Ecology, Evolution, and Organismal Biology |
Williard, Paul | Professor of Chemistry |
American Chemical Society
American Physical Society
Biophysical Society
Materials Research Society
CHEM 0330 - Equilibrium, Rate, and Structure |
CHEM 1560Q - Accelerating Chemical Discovery |
CHEM 2010 - Advanced Thermodynamics |
CHEM 2780 - Quantum Mechanics |