In rough tribological interfaces, the real contact area and local contact-pressure distribution are essential descriptors of asperity-scale load transfer and provide input fields for analyses of friction, wear, contact fatigue, and thermal or electrical contact resistance. Repeated high-resolution reconstruction of these fields from surface topography remains computationally demanding. This study proposes a physics-constrained two-stage deep-learning framework that separates latent pressure regression from contact-support prediction and combines the two outputs through hard gating. Hard gating enforces non-negative pressure and exactly zero pressure outside predicted support, while a Focal root-mean-square error (RMSE) loss emphasizes sparse high-pressure pixels. Separate load-specific models were trained at 30, 60, and 90 N. A controlled critic-on/off ablation at 256×256 and 30 N showed comparable reconstruction accuracy with and without adversarial training, indicating that the dominant performance gain arises from the two-stage formulation and hard gating rather than from the adversarial component itself. On synthetic RMD-generated rough-surface datasets, the model achieved a mean Dice score of 0.9909 and a mean pixel-wise accuracy of 0.9587; at 30 N, R_U² was 0.9995 and the p_99.9 relative error was 0.0049. Batch-1 end-to-end inference required 9.0 ms at  resolution on an NVIDIA RTX 3090 GPU. The predictions preserved prescribed load, contact-area trends, and dependence on RMS slope. An auxiliary test on axisymmetric oblate spheroidal profiles assessed smooth circular single-patch reconstruction, with the numerical fields checked against independent full-profile contact theory. On measured sandpaper-finished steel topographies without fine-tuning, mean Dice and coefficient of determination were 0.940 and 0.970 against FFT-BEM numerical references. Within the prescribed-load, frictionless linear-elastic regime, the framework provides a physics-constrained surrogate for rapid reconstruction of FFT-BEM-consistent contact-support and pressure fields.

Tribology has played an essential role in the advancement of technology and the development of economies all over the globe. As such, a significant part of the Korean industry has benefitted from design solutions and remedies that stem from tribological considerations. Republic of Korea has grown tremendously in the traditional application fields of tribology, such as automotive, manufacturing, heavy industry, shipbuilding, and electronics, over the last few decades. Apart from these traditional fields, tribology has been contributing significantly to emerging industries related to energy, environment, and biotechnology in the Republic of Korea. In this paper, the status and prospects of tribology in the Republic of Korea are presented. The history and activities of the Korean Tribology Society (KTS) are described along with a review of the research works of selected Korean tribologists. Considering the great relevance of friction, wear, and lubrication issues in future sustainability, efforts in tribology will continue to expand in parallel with technology and economic development in the Republic of Korea and around the globe.