“For developing first-principles methods and open-source codes that advanced the understanding of excited-state phenomena in two-dimensional materials.”

Felipe Jornada is an Assistant Professor in the Department of Materials Science and Engineering at Stanford University. He obtained his B.S. in Physics from the Federal University of Rio Grande do Sul (UFRGS), Brazil, with highest honors, and his Ph.D. in Physics from the University of California, Berkeley. His work has been recognized by awards such as the XIX UFRGS Young Researcher Award (2007), the Kavli Energy NanoScience Institute at Berkeley Best Thesis Prize (2017), the National Science Foundation CAREER Award (2023), and the Office of Naval Research Young Investigator Program Award (2024).
Jornada has made pioneering contributions to explaining the electronic, optical, and plasmonic properties of monolayer materials, such as MoS 2 , and twisted materials hosting moiré patterns. Broadly, his research aims to predictively understand excited-state phenomena in materials for energy and quantum applications using no empirical fitting parameters (i.e., from first principles). This often requires accurate, but numerically complex, formalisms based on many- body perturbation theory that explicitly account for electron-electron interactions in excited states. Such methods are continually developed and implemented by his research group in open-source software packages and evaluated through massively parallel computer calculations, enabling reliable, material-specific predictions.

“For his significant and innovative achievements in computational study of topological bands and quantum anomalous Hall states in two-dimensional semiconductors.”

Yang Zhang is an Assistant Professor of Physics at the University of Tennessee, Knoxville. He earned his Bachelor’s degree in Physics and Mathematics from Tsinghua University in 2015, followed by a Ph.D. in Physics from the Max Planck Institute Dresden in 2019. He then worked as a postdoc at MIT until 2022. Dr. Zhang has received several awards, including two overall Winner Awards in the World Supercomputing Contest, SFB Best Doctoral Thesis Award, the Tschirnhaus Medal from the Leibniz Association, and the Otto-Hahn Medal of the Max Planck Society.
Dr. Zhang’s research interest lies in understanding the topological and correlated states, quantum transport, and light-matter interactions in quantum matters. His work combines first-principles with many-body simulation methods. In particular, he has developed transfer-learning based first-principles methods for large-scale systems, and made significant contributions to the discovery of spin-polarized currents in antiferromagnets, the integer and fractional quantum anomalous Hall effect, and kinetic magnetism and spin polarons in semiconductor moiré superlattices.

“For her significant achievements in computational materials physics, expanding our understanding of topological quantum materials and establishing new paradigms for dark matter detection.”

Sinéad M. Griffin is a staff scientist in the Materials Sciences Division and Molecular Foundry at Lawrence Berkeley National Laboratory. Originally from Ireland she obtained a B.A. (mod) hons in Theoretical Physics at Trinity College Dublin, followed by a M.Sc. D.I.C. in Quantum Field Theory from Imperial College London. Her doctorate work was carried out at U.C. Santa Barbara and at the E.T.H. Zürich where she received her Dr. Sc. Her awards include the Swiss Physical Society’s Award in General Physics and the Director’s Award for Exceptional Scientific Achievement.

Dr. Griffin’s work combines theory with state-of-the-art first principles calculations and phenomenological models to describe and predict novel and enhanced phenomena in quantum materials. Applications of her work range from next-generation quantum sensors for dark matter detection to predicting new forms of topological and multi-order quantum matter including key theoretical predictions and descriptions of non-crystalline topological matter.

Stephen graduated from Columbia University in 2015 and received his Ph.D. in physics from Harvard University in 2020. He now works as a postdoctoral researcher at the Brown Theoretical Physics Center at Brown University. His research has focused on building accurate models for two-dimensional van der Waals materials from first principles calculations. This work has culminated in open-source codes for predicting atomic reconstruction and electronic structure in twisted multilayer heterostructures, with important contributions towards understanding the low-energy behavior of twisted bilayer graphene. Recently, he has been working closely with experimental collaborators to develop new techniques for magnetic resonance spectroscopy in correlated materials, specifically in systems with magnetic frustration.

Jesús Carrete finished his BSc in Physics from the University of Santiago de Compostela in 2007 and received a national award from the Spanish Ministry of Education as the best graduate in that discipline in his year. His thesis work in Materials Science, completed with honors in 2012 at the same university, was also recognized with an outstanding PhD award. He then joined the Laboratory for Innovation in New Energy Technologies and Nanomaterials at the French Alternative Energies and Atomic Energy Commission as a postdoctoral researcher. In 2014 he was promoted to research engineer. Since 2016 he holds a position as a senior scientist at the Institute of Materials Chemistry at TU Wien in Vienna, Austria.

His research is centered on first-principles, predictive thermal conductivity calculations. He has had a leading role in the design, implementation, support and promotion of open-source software that has been pivotal in the development of this relatively young area of study. Moreover, he has pioneered applications of this formalism to new materials and structures of theoretical and applied interest, from novel laminar compounds to doped bulk semiconductors.

Noa Marom received a B.A. in Physics and a B.S. in Materials Engineering, both Cum Laude, from the Technion- Israel Institute of Technology in 2003. From 2002 to 2004 she worked as an Application Engineer in the Process Development and Control Division of Applied Materials. In 2010 she received a Ph.D. in Chemistry from the Weizmann Institute of Science. She was awarded the Shimon Reich Memorial Prize of Excellence for her thesis. She then pursued postdoctoral research at the Institute for Computational Engineering and Sciences (ICES) at the University of Texas at Austin. From 2013 to 2016 she was an Assistant Professor in the Physics and Engineering Physics (PEP) Department at Tulane University. In 2016 she joined the Materials Science and Engineering Department at Carnegie Mellon University as an Assistant Professor. She holds  courtesy appointments in the Department of Chemistry and the Department of Physics. She is a member of the Pittsburgh Quantum Institute (PQI) and an affiliate of the Scott Institute for Energy Innovation. She has recently received the Sanibel Symposium Young Investigator Award, the NSF CAREER Award, the DOE INCITE Award (2017,2018), and the Charles E. Kaufman New Investigator Award.

Glen Evenbly was awarded the IUPAP Young Scientist Prize in Computational Physics 2017 for his exceptional work in the development of simulation algorithms for quantum many-body systems using the tensor network formalism. After studying physics in Auckland (New Zealand), Glen finished his PhD in 2010 in Brisbane (Australia). Afterwards, he was awarded the Sherman-Fairchild Prize Postdoctoral Scholarship in Theoretical Physics at California Institute of Technology working as a postdoc in Professor John Preskill’s group, before joining the group of Professor Steven White at the University of California Irvine as an assistant project scientist. Glen then joined the faculty at the University of Sherbrooke, Canada, in 2016 as an assistant professor.

His research activities focus on the development of tensor network methods, in particular he has made significant contributions to the multi-scale entanglement renormalization ansatz (MERA) and its application to the study of many-body systems at criticality, as well as in the proposal of new tensor network algorithms for the coarse-graining of partition functions and Euclidean path integrals.

Jianwei Sun received his Ph.D in physics from Tulane University in 2010 and did his postdoc work there till 2013. He then moved to the College of Science and Technology at Temple University as a Research Assistant Professor of Physics (promoted to Research Associate Professor of Physics in 2015). He moved to the University of Texas at El Paso as an Assistant Professor on July 2016. Jianwei Sun has been working on the development of density functional theory (DFT) and its applications for more than 10 years. He has designed several efficient and accurate nonempirical functionals that are drastically different from old seminal work and stimulating the rethinking and reconstruction of the old seminal work. The recently developed SCAN density functional is potentially useful throughout materials science, condensed matter physics, chemistry, and biology.

After his Bachelor, Dr. Wei-Min Wang has been working on theoretical and numerical-simulation investigation on laser plasma physics, which is applied to advanced schemes of inertial confined fusion, laser-plasma based particle accelerators, and novel radiation sources from terahertz to gamma-rays. Dr. Wang got his Master from Institute of Applied Physics and Computational Mathematics, Beijing, China in 2006. He got his PhD from Institute of Physics, Chinese Academy of Sciences (CAS), Beijing, China in 2009 and then he became an Assistant research scientist in the institute immediately after graduation. In this year he won the S. T. Tsai award for excellent PhD thesis in plasma physics in China. In 2012, he became an Associate Research Scientist in Institute of Physics, CAS. He was an Alexander von Humboldt research fellow at Jülich Supercomputing Centre, Germany in 2014 and 2015, and a visiting scholar at Utsunomiya University, Japan in 2010 and Rutherford Appleton Laboratory, UK in 2008.

Dr. Mathieu graduated in 2004 from Chimie ParisTech and obtained his Ph.D. in 2006 from Pierre and Marie Curie University (Paris), on the topic of modelling of molten salts for generation 4 nuclear reactors. This work was performed in strong collaboration with Pr. Paul Madden at the University of Oxford.

After a post-doc at Paris Sud university he joined the PHENIX laboratory (http://www.phenix.cnrs.fr/?lang=en) as an associate professor in 2007, where he now heads the Electrochemistry and Ionic Liquids group. His main activities concern the modelling of ionic liquids and materials for energy applications. In particular, he elucidated the charging mechanism of realistic nanoporous carbon based supercapacitors using constant applied potential molecular dynamics simulations. Since 2014 he also holds a chair in computational physics at the Maison de la Simulation (http://www.maisondelasimulation.fr/en/index.php), which is devoted to the computer design of supercapacitor materials.