Alejandro Strachan | |
---|---|
Nationality | American, Argentinian |
Alma mater | University of Buenos Aires |
Known for | NNSA PRISM nanoHUB |
Scientific career | |
Fields | Computational materials science Atomistic and molecular simulation |
Institutions | Purdue University Los Alamos National Laboratory California Institute of Technology |
Alejandro Strachan is a scientist in the field of computational materials and the Reilly Professor of Materials Engineering at Purdue University. Before joining Purdue University, he was a staff member at Los Alamos National Laboratory. [1]
Strachan studied physics at the University of Buenos Aires, Argentina. He received his master's of science there in 1995, followed by his PhD in 1998. He then moved to Caltech, first as a postdoctoral scholar and then as a research scientist until 2002. [1]
Strachan became a staff scientist in the Theoretical Division of Los Alamos National Laboratory in 2002, staying until becoming a faculty member at Purdue in 2005. He became a full professor in 2013 and was named the Reilly Professor of Materials Engineering in 2023. [1] [2]
Strachan's research focuses on the development of predictive atomistic and molecular simulation methodologies to describe materials, primarily density functional theory and molecular dynamics. With these methods he studies problems of technological importance including coupled electronic, thermal, and mechanical processes in nano-electronics, MEMS and energy conversion devices; thermo-mechanical response and chemistry of polymers, polymer composites, and molecular solids; as well as active materials including shape-memory alloys and high-energy density materials. He also actively focuses on uncertainty quantification across the field of materials modelling.
He previously served as the deputy director of the NNSA Center for the Prediction of Reliability, Integrity and Survivability of Microsystems (PRISM). He is currently co-principal investigator for the Network for Computational Nanotechnology (NCN) and nanoHUB (with principal investigator Gerhard Klimeck) and co-leads the Center for Predictive Material and Devices (c-PRIMED), also with Klimeck. [3] [4]
Strachan is also active in education, particularly through nanoHUB, including the fully open and online course "From Atoms to Materials: Predictive Theories and Simulations". [5]
Nanotechnology is the manipulation of matter with at least one dimension sized from 1 to 100 nanometers (nm). At this scale, commonly known as the nanoscale, surface area and quantum mechanical effects become important in describing properties of matter. This definition of nanotechnology includes all types of research and technologies that deal with these special properties. It is common to see the plural form "nanotechnologies" as well as "nanoscale technologies" to refer to research and applications whose common trait is scale. An earlier understanding of nanotechnology referred to the particular technological goal of precisely manipulating atoms and molecules for fabricating macroscale products, now referred to as molecular nanotechnology.
A molecular assembler, as defined by K. Eric Drexler, is a "proposed device able to guide chemical reactions by positioning reactive molecules with atomic precision". A molecular assembler is a kind of molecular machine. Some biological molecules such as ribosomes fit this definition. This is because they receive instructions from messenger RNA and then assemble specific sequences of amino acids to construct protein molecules. However, the term "molecular assembler" usually refers to theoretical human-made devices.
Markus J. Buehler is an American materials scientist and engineer at the Massachusetts Institute of Technology (MIT), where he holds the endowed McAfee Professorship of Engineering chair. He is a member of the faculty at MIT's Department of Civil and Environmental Engineering, where he directs the Laboratory for Atomistic and Molecular Mechanics (LAMM), and also a member of MIT's Center for Computational Science and Engineering (CCSE) in the Schwarzman College of Computing. His scholarship spans science to art, and he is also a composer of experimental, classical and electronic music, with an interest in sonification. He has given several TED talks about his work.
In the context of chemistry, molecular physics, physical chemistry, and molecular modelling, a force field is a computational model that is used to describe the forces between atoms within molecules or between molecules as well as in crystals. Force fields are a variety of interatomic potentials. More precisely, the force field refers to the functional form and parameter sets used to calculate the potential energy of a system on the atomistic level. Force fields are usually used in molecular dynamics or Monte Carlo simulations. The parameters for a chosen energy function may be derived from classical laboratory experiment data, calculations in quantum mechanics, or both. Force fields utilize the same concept as force fields in classical physics, with the main difference being that the force field parameters in chemistry describe the energy landscape on the atomistic level. From a force field, the acting forces on every particle are derived as a gradient of the potential energy with respect to the particle coordinates.
Multiscale modeling or multiscale mathematics is the field of solving problems that have important features at multiple scales of time and/or space. Important problems include multiscale modeling of fluids, solids, polymers, proteins, nucleic acids as well as various physical and chemical phenomena.
nanoHUB.org is a science and engineering gateway comprising community-contributed resources and geared toward education, professional networking, and interactive simulation tools for nanotechnology. Funded by the United States National Science Foundation (NSF), it is a product of the Network for Computational Nanotechnology (NCN). NCN supports research efforts in nanoelectronics; nanomaterials; nanoelectromechanical systems (NEMS); nanofluidics; nanomedicine, nanobiology; and nanophotonics.
Supriyo Datta is an Indian–American researcher and author. A leading figure in the modeling and understanding of nano-scale electronic conduction, he has been called "one of the most original thinkers in the field of nanoscale electronics."
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Sharon C. Glotzer is an American scientist and "digital alchemist", the Anthony C. Lembke Department Chair of Chemical Engineering, the John Werner Cahn Distinguished University Professor of Engineering and the Stuart W. Churchill Collegiate Professor of Chemical Engineering at the University of Michigan, where she is also professor of materials science and engineering, professor of physics, professor of macromolecular science and engineering, and professor of applied physics. She is recognized for her contributions to the fields of soft matter and computational science, most notably on problems in assembly science and engineering, nanoscience, and the glass transition, for which the elucidation of the nature of dynamical heterogeneity in glassy liquids is of particular significance. She is a member of the National Academy of Sciences, the National Academy of Engineering, and the American Academy of Arts and Sciences.
Mark S. Lundstrom is an American electrical engineering researcher, educator, and author. He is known for contributions to the theory, modeling, and understanding of semiconductor devices, especially nanoscale transistors, and as the creator of the nanoHUB, a major online resource for nanotechnology. Lundstrom is Don and Carol Scifres Distinguished Professor of Electrical and Computer Engineering and in 2020 served as Acting Dean of the College of Engineering at Purdue University, in West Lafayette, Indiana.
Oleg V. Prezhdo is a Ukrainian–American physical chemist whose research focuses on non-adiabatic molecular dynamics and time-dependent density functional theory (TDDFT). His research interests range from fundamental aspects of semi-classical and quantum-classical physics to excitation dynamics in condensed matter and biological systems. His research group focuses on the development of new theoretical models and computational tools aimed at understanding chemical reactivity and energy transfer at a molecular level in complex condensed phase environment. Since 2014, he is a professor of chemistry and of physics & astronomy at the University of Southern California.
Computational materials science and engineering uses modeling, simulation, theory, and informatics to understand materials. The main goals include discovering new materials, determining material behavior and mechanisms, explaining experiments, and exploring materials theories. It is analogous to computational chemistry and computational biology as an increasingly important subfield of materials science.
This glossary of nanotechnology is a list of definitions of terms and concepts relevant to nanotechnology, its sub-disciplines, and related fields.
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Rodney Dewayne Priestley is an American chemical engineer and professor at Princeton University. His research considers the phase transitions of polymers and their application in electronic devices and healthcare. In 2020 he was made the Princeton University Vice Dean of Innovation. He was named dean of The Graduate School effective June 1, 2022.
Arthi Jayaraman is an Indian-American scientist who is the Centennial Term Professor for Excellence in Research and Education at the University of Delaware. Her research considers the development of computational models to better understand polymer nanocomposites and biomaterials. Jayaraman was elected Fellow of the American Physical Society in 2020.
Clare McCabe is an American chemical engineer who is Cornelius Vanderbilt Chair of Engineering and professor of engineering at Vanderbilt University. She was elected Fellow of the American Association for the Advancement of Science in 2019. Her research makes use of molecular modelling to understand the properties of biological systems, fluids and nanomaterials.
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