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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | about 2 months ago
Computational Materials Science section at TU Delft is actively engaged in developing fundamental understanding for next-generation circular steelmaking. Using advanced atomistic modelling techniques
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 14 days ago
mechanistic origin of hydrogen embrittlement (HE). Atomistic modelling can play a crucial role in verifying, characterizing and quantifying the HE mechanisms, since hydrogen is challenging to detect
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Materials Design and Innovation Posting Number R260134 Posting Link https://www.ubjobs.buffalo.edu/postings/64174 Employer Research Foundation Position Type RF Professional Job Type Full-Time
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Materials Design and Innovation Posting Number R260134 Posting Link https://www.ubjobs.buffalo.edu/postings/64174 Employer Research Foundation Position Type RF Professional Job Type Full-Time
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equilibrium of titanium and silica. It proposes to overcome the classical hypotheses for phase equilibrium calculations using a multiscale numerical approach, from atomistic to large-scale
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techniques that leverage experimental data to construct detailed 3D representations of complex interfaces in energy storage and conversion devices at the atomistic level. These include solid-liquid (SL
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Dynamic Atomistic Predictions of Crystalline, Crystal Defect and Liquid Metal Properties
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focused on the development and application of methods for simulating magnetism, particularly atomistic and multiscale simulations. The successful candidate will have the opportunity to collaborate with
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calculations using a multiscale numerical approach, from atomistic to large-scale thermomechanical modeling, coupled with micromechanical experiments. The PhD thesis will mostly focus on the WP1 of the
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. Ransell D'Souza at the Department of Chemistry and Materials Science, Aalto University, and the Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and