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Job Description. Home; Find Your Job; Career Areas; Students; Postdocs Technologies developed through the Next-Generation High Performance Computing Network project are expected to support mission-critical applications for HPC, AI and ML, and high performance data analytics. The Biochemical and Biophysical Systems Groups scientists use cutting-edge, multi-scale, in silico simulations to tackle problems in biology. In this role you will computational materials science group / staff / chernov a; Alex Chernov. Are you a current employee? Chris Barty, chief technology officer for the Box 808, L-367 Livermore, CA 94551-0808. Tomorr Haxhimali. Phone: Phone. The Functional Materials Synthesis & Integration Group in the Materials Science Division at Lawrence Livermore National Laboratory conducts research at the intersection of chemistry, materials science, and chemical engineering. Emphasis is placed on the use of modern numerical and computational techniques to solve problems. USDOE Office of Science (SC), Basic Energy Sciences (BES). The Quantum Simulations Group (QSG) specializes in combining state-of-the-art quantum simulation approaches with large-scale computing resources to validate, understand and predict the properties of materials that are relevant to the national security missions of LLNL. Gallery. In this role you will: Conduct advanced research to design and develop drug candidates, both independently and as a team member. The Computational Physics Group carries out research and development in collaboration with all of LLNL. He is the Analytics for Advanced Manufacturing group leader, co-Principal Investigator for the Autonomous Multimodal Manufacturing Optimization project, and technical lead on several LLNL-JRNL-758785 J. Transport and Mixing in Dense Plasmas. 14 years in the Quantum Simulations Group, LLNL; Current Projects. Connect with experts in your field. Work with medicinal chemists, biologists to guide the optimization of drug candidates. Pacific Northwest National Laboratory has outstanding materials science capabilities, including. He is currently the Associate Program Lead for Hydrogen & Computational Energy Materials at LLNL. BlueGene/L was a revolutionary, low-cost machine delivering extraordinary computing power for the nation's Stockpile Stewardship Program. This position is in the Actinides and Lanthanide Science group within the Materials Science Division. PhD. Phone. (925) 424-6013. This position will be filled at either the SES.2 or SES.3 level depending on your qualifications. Biography Education Publications Awards. Arryave Group. Files. Feb 1, 2022 Senior Scientist - Computational Materials Science. CMSG Home. Scientists in Brookhaven's Condensed Matter Physics & Materials Science Department study basic, theoretical and applied aspects of materials, their utilization, and their electronic, physical, mechanical, and chemical properties in relation to their structure. In this role you will Propose, implement, and USDOE Office of Science (SC), Basic Energy Sciences (BES). Wennie Wang Postdoctoral Researcher University of Chicago. Files. Phone. Group BBQ-April 2011. Broughton, " Coarse-grained molecular dynamics: Nonlinear finite elements and finite temperatures ," Phys. Degree Lawrence Livermore National Laboratory 7000 East Avenue We have an opening for a Computational Materials Science Postdoctoral Researcher to participate in research dedicated to the development of high-temperature metal alloys and functional oxides. Nicholas Adamski Graduate Student. An invited talk at Nuclear and Chemical Science (NACS) Seminar, LLNL on Towards physics-constrained machine learning-based physical simulations, February 16, 2022. Lawrence Livermore National Laboratory Email: dimits1@llnl.gov Ph: 925-422-0211 Computational Materials Science, Robert Rudd, GL Material Sciences Division ManyaliboMatthews, DL Expertise with LSP and Chicago PIC/hybrid codes (esp. An LLNL-led collaboration targeted using machine learning to reduce defects and carbon emissions in steelmaking receives funding through the HPC4Mfg Program. Group BBQ-April 2011. Defect formation and the effect on material behavior. Group BBQ-April 2011. Arryave Group. This work will be primarily performed using dual-beam focused ion beam (FIB) and scanning electron microscopy (SEM) systems, and associated diagnostics. Projects. Alex Chernov. Materials Sciences & Engineering Division; USDOE National Nuclear Security Administration (NNSA) OSTI Identifier: 1828639 Alternate Identifier(s): OSTI ID: 1817884; OSTI ID: 1835709; OSTI ID: 1863238; OSTI ID: 1868851 Report Number(s): LLNL-JRNL-823369 Journal ID: ISSN 1549-9618 Random Photos. Postdoctoral Position Available. Search internal jobs. Navigation. Many of our leading-edge concepts and innovations have been translated by R&D Ryan Dana is a data scientist working in the Global Security Computing Applications Division and the astrophysical analytics group. Engineering staff fully exploit the massive computing power onsite and with the "big iron," unravel many wicked problems. B.S., Physics, Stanford University, 2001. doi: 10.1016/j.commatsci.2019.109098. As group leader and application developer in the Global Security Computing Applications Division, Jarom Nelson develops intrusion detection and access control software.

The Uncertainty Quantification and Optimization (UQ&O) Group develops methods and software for optimizing, controlling, and assessing uncertainty in highly complex systems. woodward6@llnl.gov. Computational Materials Science 169 (18: 109098). Dr. Giera is a member of the technical staff in the Materials Engineering Division under the Engineering directorate at LLNL. The Computational Chemical and Materials Sciences (CCMS) group develops and applies modern computational and mathematical capabilities for the understanding, prediction and control of chemical and physical processes ranging from the molecular to the nanoscale, to full-size engineering applications, using a multidisplinary approach that integrates chemistry, News Item Computational Science | Materials Science libROM libROM is a library designed to facilitate Proper Orthogonal Decomposition (POD) based Reduced Order Modeling (ROM). "Understanding Uncertainties for Materials Modeling." From actinides and architected materials to polymers and energetic materials, LLNLs Materials Science Division (MSD) is constantly innovating in materials science.

Materials Science Research Area. This position is in the Reaction Dynamics Group of the Materials Science Division. Our team utilizes state-of-the-art petascale computing resources at LLNL to perform simulations with billions of atoms.

(925) 422-2518. Non-Equilibrium Processes in Dense Plasmas at the Level of Electrons and Ions. Project Multiscale model of protein behavior linked to cancer-causing mutations. Goodbye to Emmi and Luis Alberto. Mailing Address . Biography Education Publications Awards. The 10-week program matches graduate students to scientists who mentor them and offers courses and twice-weekly lectures to round out the experience. This award recognizes the computational materials science team at Lawrence Livermore National Laboratory, led by Drs. Lawrence Livermore National Laboratory. ASC Materials Modeling. Home; Find Your Job; Career Areas Each expert will give a 25-minute presentation followed by a 30-minute discussion. We develop and deploy state-of-the-art HPC algorithms for statistical inference, numerical optimization, machine learning, and more. Ultrafast Optics and Photonics. BlueGene/L was a revolutionary, low-cost machine delivering extraordinary computing power for the nation's Stockpile Stewardship Program. Biography Publications. Theory and modeling can be used to develop the NIF is being built at LLNL to verify the performance of the physics codes. Navigation. Computational Materials Science Group. In this role you will Propose, implement, and test new CALPHAD-based models and Engineering at Lawrence Livermore National Laboratory relies on multidisciplinary collaboration to achieve breakthroughs in fields vital to national security, notably materials engineering and manufacturing, bioengineering, data analytics, machine learning, sensing, and autonomous systems.. Home. WCIs Weapon Simulation and Computing (WSC) program is an integral partner in the Department of Energy/National Nuclear Security Administrations Advanced Simulation and Computing (ASC) program. Gallery. This position will be in the Actinides and Lanthanides group of the Materials Science Division. ddcMD Multi-physics Particle Dynamics Code. Co-director: LLNL Computational Chemistry & Materials Science, Summer Institute (CCMS) 2021 2022. Committee Member: LLNL CCMS, 2019 2020. Search this site. Robert RuddE-mail Robert. Livermore, CA 94550. The American Physical Society (APS) has selected ten Laboratory scientists as APS Fellows in 2014.. Saurabh leaves for Caltech. JOWOG-Mat 32, Lawrence Livermore National Laboratory, Livermore, CA, 2018. Develop integrated modeling and simulation capabilities for simulating concurrent (electro)chemical and materials kinetic processes in materials. Files. Search Computational materials science jobs in Livermore, CA with company ratings & salaries. Computational Science | Materials Science. It earned the number 1 position on the TOP500 list from November 2004 to June 2008. Biography Publications. Sept. 2, 2016-. Are you a current employee? Our Staff. IIMEC Winter School. Responsibilities:

JOWOG-Mat 32, Lawrence Livermore National Laboratory, Livermore, CA, 2018. Group Photos. Computational Materials Science Lab. Examples include the use of CASC developed linear and non-linear solvers in Laboratory programmatic codes used to For any questions regarding posting a job opportunity, please call 814-865-9857 or email. Contact. However, for all its promise, computational materials science is still a house under construction. Selected Publications R.E. He earned his Bachelor of Science degree in applied physics at Caltech in 1998. Goodbye to Oussama. Committee Member: LLNL CCMS, 2019 2020. IIMEC Winter School. Elected Member-at-Large: APS SCCM Topical Group, 2022 Present. This position is in the Materials Characterization Group in the Materials Science Division (MSD). 14 years in the Quantum Simulations Group, LLNL; Current Projects. Our group uses computational materials science tools to investigate material properties at different scales of length and time. LLNL Materials Science Division AI, ML, and Data Science Committee (Surrogate modeling and Data Management co-lead), 2021 2022.

STE COMP-STE CASC DIV-CENTER FOR APPLIED SCIENTIFIC COMPUTING DI. The Thermal Fluids Group seeks to develop predictive computational models and software tools for applications in additive manufacturing. By combining state-of-the-art simulation tools with world-class facilities and computers, WSC delivers the capabilities needed to support the nations nuclear Computational Materials Science 169 (18: 109098). Group Leader Computational Materials Science. Physicist Michael Armstrong was cited by the Topical Group on Instrument and Measurement Science for outstanding contributions to time-domain experimental methods applied to materials under extreme conditions.. Research Staff Materials Science Division haxhimali1@llnl.gov +1 925-423-9240 Education.

Computational Materials Science. Address: 7000 East Ave, L-367 Livermore, CA 94550. Computational Engineering. Group Photos. Biography. Physicist Michael Armstrong was cited by the Topical Group on Instrument and Measurement Science for outstanding contributions to time-domain experimental methods applied to materials under extreme conditions.. Justin Weber Van de Walle Computational Materials Group Lawrence Livermore National Laboratory. in Pulsed Power group A. Education . We are undertaking a computational materials science study to identify the atomic-scale nature of the sources of unpaired spins in SQ devices, to enable process design to mitigate flux noise. January 10, 2022. Center for Applied Scientific Computing. Gallery. Goodbye to Oussama. Brandon Wood and Tadashi Ogitsu, for their exceptional support to the HydroGEN Advanced Water Splitting Materials and Hydrogen Materials Advanced Research Consortium (HyMARC) consortia efforts. Theoretical understanding of materials science and mechanics, including related physical sciences, engineering, and mathematics, for additive manufacturing at all levels/stages. Nathan Barton is the Group Leader of the Materials Modeling and Simulation Group in the Computational Engineering Division, and is the ASC/PEM Strength & Damage program element lead. NEWS. Co-director: LLNL Computational Chemistry & Materials Science, Summer Institute (CCMS) 2021 2022. After his PhD, Reed worked as a postdoctoral researcher at MIT for a year, then as E.O. We have an opening for a Postdoctoral Researcher in computational modeling of energetic materials under detonation conditions. Materials Science Research Area. LLNL Materials Science Division AI, ML, and Data Science Committee (Surrogate modeling and Data Management co-lead), 2021 2022. Lawrence Livermore National Laboratory 7000 East Avenue, L-413 email: kim87@llnl.gov phone: 925-424-2923. Design and perform systematic computer simulations on LLNL supercomputers for establishing the foundational understanding of operating kinetic mechanisms in these materials. The position requires knowledge in the use of multi-physics simulation codes to help develop new reactive flow models for energetic materials. Postdoctoral Position Available. deptadmin@matse.psu.edu. Materials Science. Rudd and J.Q. As test materials, we select 25 materials with diverse symmetries and a wide range of lattice thermal conductivities between 10 and 10 WmK. Material response to extreme environments. Our multidisciplinary teams strive to create novel materials for security and energy applications and to understand the properties and performance of materials subjected to

As group leader and application developer in the Global Security Computing Applications Division, Jarom Nelson develops intrusion detection and access control software. Computational Materials Science Lab. Computational Science | Materials Science 'Self-trained' deep learning to improve disease diagnosis LLNL and IBM research on deep learning models to accurately diagnose diseases from x-ray images won the Best Paper award for Computer-Aided Diagnosis at the SPIE Medical Imaging Conference. As such, the current reach of the science is limited. Random Photos. Material response to extreme environments. The Biochemical and Biophysical Systems Group. He completed his doctorate in physics at MIT in 2003. Physicist Materials Science Division chernov2@llnl.gov +1 925-424-6194. Lawrence Fellow and, later, staff scientist at the Lawrence Livermore National Laboratory for the next five years. Search internal jobs. LLNL-JRNL-758785 J.

National Institute for Materials Science (Japan) Graduate Students. Lawrence Livermore National Laboratory is operated by the University of California for the Department of Energy. We seek to accelerate the discovery of new materials by creating computational models based upon the theories of molecular dynamics or quantum mechanics that enable the prediction and modification of fundamental materials properties.

Please include closing date, if applicable, and instructions or link for applying with the organization. (925) 423-9010. Gaurav will spend ten weeks at LLNL working under his assigned mentor, Dr. Tadashi Ogitsu. 2018. Scientific applications in areas such as atmospheric modeling and materials & chemical sciences, health, and biology, Methodologies and strategies for computational science, designing and implementing highly efficient computational kernels, and. 7000 East Ave, Livermore, CA 94550, USA RESEARCH INTERESTS Research Sta , Computational Materials Science Group, Lawrence Livermore National Lab. We have an opening for a Computational Materials Science Postdoctoral Researcher to participate in research dedicated to the development of high-temperature metal alloys and functional oxides.