Automated Computational Mechanics Laboratory
Points of Pride
Position
The ACML has an immediate open PhD Position on an interdisciplinary project focused on computational solid mechanics and artificial intelligence (AI) algorithms. The project aims at developing a novel AI-enhanced computational framework for simulating various physical phenomena in composite and biomaterials for applications such as cancer engineering and design of biomimetic materials. Interested applicants are encouraged to contact Prof. Soghrati.
About ACML
Welcome to the homepage of Prof. Soghrati's research group at OSU. In ACML, we implement advanced numerical techniques and deep learning algorithms to study a wide variety of multiscale / multiphysics problems in Engineering and Materials Science. Our interdisciplinary research efforts address a broad range of phenomena including progressive corrosion in metallic materials, design optimization problems, modeling damage mechanisms in multifunctional composites, digital manufacturing, computational biomechanics, and cancer engineering. One of the major focuses of research in ACML is to automate the computational modeling process by developing novel microstructure reconstruction, mesh generation, and AI-enhanced algorithms to eliminate the difficulties associated with simulating problems with complex / evolving morphologies.
Accordions
ACML Computing Facilities (W380 Scott Lab)
ACML members have access to high performance iMacs with 3.4 GHz quad core processors and 16 or 32 GB RAM for code development, post processing, and visualization. Other essential resources, including external hard drives and printing/scanning facilities are available for graduate and undergraduate students in our lab. Licenses for commonly used software packages such as MATLAB, Mathematica, Adobe Professional, and Microsoft office are also provided for students. A 2.6 GHz 20 core Pinnacle server with 2TB hard drive and 256 GB RAM is also shared between ACML members for performing intermediate scale simulations (less than 10 million degrees of freedom).
MAE Department Computer Labs
In addition to advanced computing facilities in ACML, our students have on-site and remote access to the well-equipped computer labs in the Department of Mechanical and Aerospace Engineering. These computer Labs consist of 150 PCs of which 50% are always less than one year old and the rest are less than two to three years old. Each graduate student has an account with 30 GB of storage, which can be increased upon request. Moreover, students have access to several simulation and visualization software packages at this facility, including ANSYS, ABAQUS, AutoCAD, Patran, ProEngineer, LabView, etc.
Ohio Supercomputer Center (OSC)
ACML members also have complete access to the Ohio Supercomputer Center (OSC) for their large-scale parallel computing efforts. The OSC currently operates two major systems: Oakley Cluster, which is an HP Intel Xeon supercomputer with 8,300+ cores. One in every 10 nodes of this cluster has 2 Nvidia Tesla GPU accelerators and one node has 1 TB of RAM and 32 cores, for large SMP style jobs. Another system at OSC is Glenn Cluster, a 5,300+ core IBM AMD Opteron machine, which shares a common environment with the Oakley Cluster. OSC also provides more than 2 PB of storage, and another 2 PB of tape backup. In addition to granting access to one of the best hardware systems for high-performance computing, this powerful supercomputer has a variety of software applications to support all aspects of scientific research. ACML members also have access to many precious software packages at OSC, such as ABAQUS, ANSYS, COMSOL, MATLAB, etc.
Simulation Innovation and Modeling Center (OSC)
Dr. Soghrati is one of the advisory board faculty members in the Simulation Innovation and Modeling Center (SIMCenter), which allows ACML members to have unrestricted on-site and remote access to the state of the art computing facilities in this center. SIMCenter has partnered with the Ohio Supercomputer Center (OSC) in order to leverage their extensive supercomputing environment. The SIMCenter lab is based on a similar architecture used in industry to allow a flexible yet powerful computing environment to researchers. This environment allows engineers to connect to Blade servers via a Remote Graphic Session. This pushes all of the effort of model manipulation, pre-processing, and post-processing off the local machine. From the Blade, it is possible to post jobs to the domain-specific CAE Solvers on the supercomputer resources available via OSC. All of this is enabled by a high-speed fiber optic connection from SIMCenter facilities to OSC. Furthermore, SIMCenter maintains an ever-growing library of software licenses that are available for research.
Other Computing and Imaging Capabilities
Due to Dr. Soghrati’s joint appointment in the Department of Materials Science and Engineering, members of ACML have access to the extensive computing and information resources located in the materials science and chemical and biological engineering complex. More than 100 computers with the latest technology are available to support innovative cutting-edge research. A large array of software enables 3D imaging of atomic structures, diffraction analysis, mathematical modeling, casting simulations, stress analysis, and a variety of other engineering capabilities. Dr. Soghrati and members of his research group also have access to the Campus Electron Optic Facility (CEOF), which was recently expanded to accommodate additional equipment and capabilities (valued at more than $10 million). CEOF offers for use four transmission electron microscopes, three scanning electron microscopes, and a variety of X-ray diffractometers. Moreover, our group members have access to Center for Electron Microscopy and Analysis (CEMAS), a $15 million core facility that is established as one of the world largest advanced materials characterization centers at OSU.
Due to the interdisciplinary nature of research in ACML, students with diverse backgrounds are recruited in our group. In addition to Mechanical and Aerospace Engineering students, Dr. Soghrati advises students from the Department of Materials Science and Engineering, where he holds a joint appointment. While ACML students develop advanced skills and knowledge in computational solid/fluid mechanics, materials science, and programming, they often closely collaborate with experimentalists to improve their computational models and validate the numerical simulations. To successfully accomplish these research activities, the students have the opportunity to take several intermediate and advanced level graduate courses across different disciplines from the College of Engineering and the College of Arts and Sciences at The Ohio State University. Below is a list of course requirements and useful courses that ACML students are often advised to take:
Graduate Students Course Requirements:
Department of Mechanical and Aerospace Engineering
Department of Materials Science and Engineering
Department of Mechanical and Aerospace Engineering
Fall Semester
- ME 5139 – Applied Finite Element Method
- ME 5162 – Introduction to Laminated Composite Materials
- ME 5502 – Engineering Thermodynamics
- ME 6510 – Intermediate Heat Transfer
- ME 6700 – Introduction to Musculoskletal Biomechanics
- ME 7100 – Introduction to Continuum Mechanics (Instructor: Prof. Soghrati)
- ME 7194 – Introduction to Finite Element Method
- ME 7511 – Computational Fluid Dynamics
- ME 8518 – Advanced Mathematical Methods in Mechanical Engineering
Spring Semester
- ME 5144 – Engineering Fracture Mechanics
- ME 5168 – Introduction to Finite Element Method
- ME 6507 – Intermediate Numerical Methods
- ME 8038 – Advanced Topics in Finite Element Method (Instructor: Prof. Soghrati)
- ME 8100 – Advanced Topics in Continuum Mechanics
Department of Materials Science and Engineering
Fall Semester
- MSE 5763 – Fracture and Fatigue of Engineering Materials
- MSE 6735 – Corrosion Science and Materials Electrochemistry
- MSE 6756 – Computational Materials Modeling
Spring Semester
- MSE 5761 – Mechanical Behavior of Crystalline Solids
- MSE 5951 – Corrosion and Failure Analysis
- MSE 6765 – Mechanical Behavior of Materials
- MSE 7818 – Advanced Topics in Corrosion Science
Department of Mathematics
Fall Semester
- MATH 5601 – Essentials of Numerical Methods
- MATH 6601 – Numerical Methods in Scientific Computing 1
- MATH 7211 – Functional Analysis 1
- MATH 7452 – Partial Differential Equations 2
- MATH 7611 – Computational Partial Differential Equations 2
Spring Semester
- MATH 5602 – Computational Partial Differential Equations
- MATH 5603 – Numerical Linear Algebra
- MATH 6602 – Numerical Methods in Scientific Computing
Department of Integrated Systems Engineering
- ISE 7510 – Computational Modeling of Manufacturing Processes
Department of Computer Science and Engineering
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CSE 5543 – Geometric modeling
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CSE 5523 – Machine Learning and Statistical Pattern Recognition
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CSE 3521 – Survey of Artificial Intelligence I: Basic Techniques
ACML Lab is located in W380 Scott Laboratory (Department of Mechanical and Aerospace Engineering) at The Ohio State University. Please do not hesitate to contact Prof. Soghrati for inquiries about ongoing research activities and available positions:
Dr. Soheil Soghrati
Director and Principal Investigator
Mechanical and Aerospace Engineering
Materials Sience and Engineering
Simulation Innovation and Modeling Center
E318 Scott Laboratory
201 W 19th Avenue
Columbus, OH 43210
soghrati.1@osu.edu
Phone: 614-292-2768