Evaluating machine learned nuclear data precision in full core nuclear reactor Monte Carlo neutronics and computational efficiency analyses. [PDF]
Hashemi A, Macián-Juan R, Ohlerich M.
europepmc +1 more source
Carburization Kinetics of Zircalloy-4 and Its Implication for Small Modular Reactor Performance. [PDF]
Kardoulaki E +6 more
europepmc +1 more source
This study employs digital advanced manufacturing to develop lightweight, compact porous distributors as alternatives to conventional bipolar plates in PEM fuel cells. A graphene‐coated nickel foam achieves a power density of 1.52 W cm−2, while titanium‐based designs deliver lightweight solutions: an LPBF‐fabricated Gyroid lattice reaches 1.36 W cm−2 ...
Hadi Heidary +9 more
wiley +1 more source
Development of a novel machine learning-based adaptive resampling algorithm for nuclear data processing. [PDF]
Hashemi A, Macián-Juan R, Ohlerich M.
europepmc +1 more source
This work uncovers the atomic‐scale origins of exceptional HER performance in amorphous Ni(OH)2 nanosheets by combining atom probe tomography, DFT simulations, and operando spectroscopy. We identify distinct short‐range‐order motifs that accelerate water dissociation, proton transport, and hydrogen adsorption. Embedding Pt single atoms further enhances
Xin Geng +4 more
wiley +1 more source
Neutronics design of shutdown and control systems for a Zero Power Experiments of chloride-based molten salt fast reactor. [PDF]
Jain L +5 more
europepmc +1 more source
Beyond Imperfect Match: Silicon/Graphite Hybrid Anodes for High‐Energy–Density Lithium‐Ion Batteries
Silicon/graphite (Si/Gr) hybrid anodes are limited by Si's large volume change and mismatch with Gr. This review offers mechanistic insights into imperfectly matched Si/Gr hybrid anodes, elucidating heterogeneous lithiation behavior and interfacial failure pathways, and thereby informing the design of durable, high‐energy–density lithium‐ion batteries.
Jing Li +6 more
wiley +1 more source
Superprotonic Conduction in Donor Co‐Doped Perovskites
Ceramic proton conductors are promising materials for various applications such as fuel cells. Here, we report superprotonic conduction of BaSc0.8Mo0.1W0.1O2.8 created by donor Mo/W co‐doping into BaScO2.5 (e.g., 10−2 S cm−1 at 193 °C). The high proton conductivity is attributed to high carrier concentration and mobility.
Kensei Umeda +3 more
wiley +2 more sources
A multidisciplinary framework from reactors to repositories for evaluating spent nuclear fuel from advanced reactors. [PDF]
Wainwright HM +6 more
europepmc +1 more source

