High-throughput investigation of stability and Li diffusion of doped solid electrolytes via neural network potential without configurational knowledge.

Solid electrolytes hold substantial promise as vital components of all-solid-state batteries. Enhancing their performance necessitates simultaneous improvements in their stability and lithium conductivity. These properties can be calculated using first-principles simulations, provided that the crystal structure of the material and the diffusion pathway through the material are known.

Universally Exhaustive Generation of Molecular Structures and Prediction of Their Electronic States Using Machine Learning for N-type Organic Transistor Materials.

We have proposed a new method for the exploration of organic functional molecules, using an exhaustive molecular generator combined without combinatorial explosion and electronic state predicted by machine learning and adapted for developing n-type organic semiconductor molecules for field-effect transistors. Our method first enumerates skeletal structures as much as possible and next generates fused ring structures using substitution operations for atomic nodes and bond edges. We have succeeded in generating more than 4.

Minimally invasive surgery technique for unstable pelvic ring fractures with severe vertical shear displacement: A retrospective study.

Background: Unstable pelvic fractures, especially vertical shear fractures, require surgery for correct reduction, rigid fixation, and improved postoperative outcomes. Herein, we assess the effectiveness of our minimally invasive procedure for the management of unstable pelvic fractures.

Hypothesis: We hypothesized that this procedure would be useful for the management of unstable pelvic fractures.

Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements.

Computational material discovery is under intense study owing to its ability to explore the vast space of chemical systems. Neural network potentials (NNPs) have been shown to be particularly effective in conducting atomistic simulations for such purposes. However, existing NNPs are generally designed for narrow target materials, making them unsuitable for broader applications in material discovery.

Can a true perforator flap survive on venous blood? A case report of anterolateral thigh true perforator flap supplied by antegrade venous inflow.

In some cases of degloving injury, as a result of multiple venous anastomoses formed on the peripheral and proximal sides, the detached flap skin did survive, though with patchy necrosis. On the basis of this experience, the skin and soft-tissue defects after removing skin cancer were closed with an anterolateral thigh true perforator flap, measuring 4 × 5 cm in size, which is nourished by venous blood. The subcutaneous vein on the peripheral side of the defect was anastomosed to the perforator artery, and the veins on the proximal side of the defects were anastomosed to the concomitant veins of the perforator.