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Explores the classification, molecular structures, mechanical behavior, and viscoelastic properties of polymers, emphasizing temperature effects and material responses.
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
Explores the impact of big data, covering economic value, latency-sensitive and throughput-bound applications, graph analytics, and challenges in utilizing flash storage.
Explores autonomously moving and assembling soft matter systems, focusing on hydrogel actuators, latch-mediated spring actuation, and self-spinning filament bundles.
Covers the basics of polymer biophysics, including DNA conformation modeling and the Boltzmann principle, emphasizing the exponential decay of correlations between segments.
