Results 81 to 90 of about 18,722 (265)
, 1986 This book contains information on the following topics: collective variables and dissipation; energy dissipation in nucleus-nucleus collision around 40 MeV per nucleon; spectral fluctuations and chaotic motion; dynamics of the relativistic heavy ion collisions; skyrmions, dense matter and nuclear forces; angular momentum dynamics in damped nuclear ...
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Challenges and enablers in fluidization technology
AIChE Journal, EarlyView.Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
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Production of Dileptons in Ultraperipheral Heavy-Ion Collisions With Two-Photon Processes
Advances in High Energy PhysicsWe study the photoproduction process of dileptons in heavy-ion collision at relativistic heavy-ion collider (RHIC) and large hadron collider (LHC) energies.
Gong-Ming Yu +4 more
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Conical emission in heavy-ion collisions [PDF]
Journal of Physics G: Nuclear and Particle Physics, 2008 Talk given at QM2008, Jaipur, India.
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Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
Advanced Intelligent Discovery, EarlyView.We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
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Spinodal decomposition in Bjorken flow [PDF]
EPJ Web of ConferencesThe QCD first-order phase transition at large baryon densities is expected to proceed by spinodal decomposition. This spinodal phase is likely to leave its signatures on the experimental observables measured in heavy-ion collision experiments ...
Kapusta Joseph +2 more
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Advanced Intelligent Discovery, EarlyView.The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
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Testing hydrodynamic response to initial-state geometry in Pb+d↑ collisions [PDF]
EPJ Web of ConferencesDeuterons with different polarization states have distinct shapes for their wavefunctions. This offers a unique opportunity to experimentally control the initial-state collision geometry with the polarization of the light-ion targets in relativistic ...
Mäntysaari Heikki +3 more
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Chiral symmetry and heavy-ion collisions [PDF]
Journal of Physics G: Nuclear and Particle Physics, 2008 Plenary talk at Quark Matter 2008: 20th International Conference on Ultra-Relativistic Nucleus Nucleus Collisions (QM 2008), Jaipur, India, 4-10 Feb ...
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Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
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