About Us
Our Goal
Our team at LANL is focused on creating world-leading computational mechanics software to help realize the full-potential of diverse manufacturing processes. To achieve this goal, we are developing novel multiphysics solvers combined with advanced multiscale models to simulate the performance of parts as a function of the underlying microstructure and/or additively manufactured lattice structure. The microstructure of a material arises from the manufacturing processes, and influences the bulk-scale behavior of the material across physical regimes. The topology optimization work by our team seeks to take advantage of additive manufacturing to produce optimal parts that cannot be manufactured by other means. We also aim to contribute to the academic community through active research and contribute to the engineering community by quickly integrating novel capabilities into the Fierro mechanics code. We see Fierro as an ever-growing toolbox to solve challenging multiphysics multiscale engineering problems.
Our Philosophy
We strive to fill the need for software that: (a) can accurately simulate multiphysics and/or multiscale applications, (b) runs efficiently on modern high performance computing machines, and (c) is easy-to-use. Beyond developing cutting-edge software with advanced algorithms and models, our goal is to put the software in the hands of researchers, scientists, and application engineers. We know not everyone is an expert in high performance computer science applications, so whether it’s by simplifying the installation, simplifying the application, or simplifying source code contribution, we strive to enable more users to participate.
The Team
Nathaniel Morgan, Ph.D.
Los Alamos National Laboratory, Engineering Technology & Design Division, R&D Scientist
Speciallzing in high-order multi-material multi-physics Lagrange plus remap software that can run across CPU and GPU architectures
Ricardo Lebensohn, Ph.D.
Los Alamos National Laboratory, Theoretical Division, R&D Scientist
Speciallzing in material science, computational mechanics, and multiscale material models
Vincent Chiravalle, Ph.D.
Los Alamos National Laboratory, Computational Physics Division R&D Scientist
Specializing in computatational physics and numerical methods for multi-material multi-physics compressible flows
Adrian Diaz, Ph.D.
Los Alamos National Laboratory, Computational Physics Division R&D Scientist
Specializing in computatational mechanics, topology and shape optimzation, high performance computing, software engineering, and numerical methods
Daniel Dunning, Ph.D.
Los Alamos National Laboratory, Engineering Technology & Design Division, R&D Scientist
A computer scientist speciallizing in high performance computing, performance portability of software across CPU and GPU architectures, and software engineering.
Sarah Hankins, Ph.D.
Los Alamos National Laboratory, Engineering Technology & Design Division, R&D Engineer
Speciallizing in topology and shape optimization, computational mechanics, and computational tools to generate application-specific geometries.
Evan Lieberman, Ph.D.
Los Alamos National Laboratory, Computational Physics Division, R&D Scientist
Specializing in material science, computational mechanics, and finite element methods.
Konstantin Lipnikov, Ph.D.
Los Alamos National Laboratory, Theoretical Division, R&D Scientist
Specializing in applied mathematics, math solvers, and numerical methods
Jacob Moore, Ph.D.
Mississippi State University, Research Professor
Speciallizing in computational sciences, computational mechanics, numerical methods, and manufacturing.
Gabe Morris
Mississippi State University, Graduate Student
Specializing in computational mechanics, finite element methods, and software develoment.
Svetlana Tokareva, Ph.D.
Los Alamos National Laboratory, Theoretical Division, R&D Scientist
Specializing in applied mathematics, math solvers, and numerical methods
Steven Walton, Ph.D.
Los Alamos National Laboratory, Theoretical Division, Postdoctoral Researcher
Specializing in applied mathematics, math solvers, and numerical methods
Kevin Welsh
Los Alamos National Laboratory, Engineering Technology & Design Division, R&D Scientist
Full stack software developer
Caleb Yenusah, Ph.D.
Los Alamos National Laboratory, Theoretical Division, Postdoctoral Researcher
An applied computational scientist with a broad range of experience and expertise in numerical analysis, computational modeling, and high performance computing.
Miroslav Zecevic, Ph.D.
Los Alamos National Laboratory, Theoretical Division, R&D Scientist
Speciallzing in material science, computational mechanics, and multiscale material models