What is a high-entropy alloy (HEA)?

High-entropy alloys are multicomponent alloys comprising five or more principal elements at near-equiatomic ratios (5–35 atomic percent each). Their defining characteristic is a configurational mixing entropy exceeding approximately 1.5R (where R is the gas constant), which suppresses intermetallic compound formation and promotes simple solid-solution phases such as FCC, BCC, or HCP.

Which country dominates high-entropy alloy patent filings?

China dominates HEA patent filings by volume. In this dataset of 70+ records spanning 2008–2026, approximately 85% of filings carry CN jurisdiction. The remainder is distributed across US (~6%), JP (~5%), WO (~1%), KR (~1%), and EP (~1%).

What mechanical performance do refractory HEAs achieve?

Leading refractory HEA patents report room-temperature compressive strength ≥2000 MPa with ≥5% plasticity, and high-temperature strength ≥1000 MPa at 1600°C (NbMoTaWMC system, Beijing University of Science and Technology, 2024). A related NbMoTaWZrC system achieves compressive strength >2000 MPa at room temperature and >600 MPa at 1600°C.

How accurate are machine learning models for HEA hardness prediction?

An ensemble model combining XGBoost, LightGBM, ANN, LR, and KNN (China Mobile Group Chongqing Co., Ltd., 2025) achieves R² = 0.944 for HEA hardness prediction, representing a high level of accuracy for materials property regression tasks.

What are the main application domains for high-entropy alloys?

Based on the 2026 patent landscape, the dominant application domains for HEAs are: aerospace and high-temperature structural components (turbine blades, engine hot-end parts), nuclear and radiation-resistant materials, energy applications (electrocatalysis, hydrogen evolution, fuel cells), cutting tools and hard alloys, lightweight structural applications including consumer electronics, and automotive multi-material joining.

What are the emerging directions in HEA research as of 2026?

Five frontier directions identified in 2025–2026 filings are: (1) physics-embedded AI for closed-loop additive manufacturing, (2) multi-objective yield strength–ductility co-optimization using Pareto-front methods, (3) interstitial atom (O and Si) strengthening achieving tensile yield strength >1100 MPa at room temperature, (4) superelastic and shape-memory HEA systems, and (5) low-temperature/cryogenic HEAs targeting fusion reactor superconducting magnet structures requiring yield strength >1300 MPa at liquid helium temperature.